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GUESS THE
GIBBERISH
RUN DOME
RANDOM
ZOO AIM POLE
SAMPLE
IS RAT TEA PIE AID
STRATIFIED
SEE IM PAUL
SIMPLE
CALL AS TEAR
CLUSTER
SEA IS THEME
MATH TRICK
SYSTEMATIC
CHAPTER III:
SAMPLING AND
SAMPLING
DISTRIBUTION
LESSON 1:
Sampling Distribution
of Sample Means
In Statistics, it is sometimes impossible
to gather data from the entire population
or collection of objects being examined
in the study but through the use of
samples or representatives of the
population, researchers get a clearer
picture of the whole group being studied.
The method of getting samples
is called sampling where it
needs not to be biased to give
justice to the group it represents.
Random sampling is a
sampling method of choosing
representatives from the
population wherein every
sample has an equal chance of
being selected.
DIFFERENT TYPES
OF RANDOM
SAMPLING
Simple random sampling
 the most basic random sampling wherein
elements are usually represented by a number
that are written on equal sized and shaped
papers and then selection of samples is possible
through the lottery method
 Drawing number of paper is based from the
desired number of sample.
Example:
A researcher writes the name of each
student on a piece of paper, mixes
the papers in a bowl, and draws 7
pieces of paper.
Systematic random sampling
 a random sampling which uses a list of all
the elements in the population and then
elements are being selected based from the
kth consistent intervals. To get the kth
interval, divide the population size by the
sample size.
Example:
A researcher selects every 7th
students from a list.
Stratified random sampling
 a random sampling wherein the
population is divided into different strata.
 Selection of samples will be
proportionately randomly picked in each
stratum that is why all strata have
representatives in forming the samples.
Example:
A researcher separates the list from
boys and girls then draws 7 names
per each gender.
Cluster random sampling
 a random sampling wherein population is
divided into clusters and then the clusters
is randomly selected. All elements of the
clusters randomly selected are considered
the samples of the study.
Example:
A researcher surveys all students
from 3 randomly selected classes out
of 7 classes.
Each team will be asked to place papers
with its players’ names into a fishbowl
and randomly drew out five names. The
five names from each team will be
combined to make up the sample. Which
of the following sampling techniques is
being used in this situation?
The organizer will create a list of all
players and they will be represented by a
number. Sixty numbers will be picked to
know the samples. Which random
sampling technique did he apply?
All players will be grouped according to
their age and will proportionately choose
players to measure their height. Which
random sampling technique did he
apply?
Each player of the five teams that will be
randomly chosen to answer the question
prior to the study. Which random
sampling technique did he apply?
ACTIVITY
The Philippine High School has
5,000 senior students. Mr. Manalo,
the principal, wants to obtain
information from the senior high
students as to their plans after
graduation.
1. Principal Manalo writes all the names
of the senior high school students on
small pieces of paper and draws 500
names to participate in the study. Which
random sampling technique does he
apply?
2. The principal creates a list of all
senior high students, decides to survey
every tenth name on the list and later
asks those students that are selected.
Which random sampling technique does
he apply?
3. Mr. Manalo divides the senior high
students as to their grade level and
strand. He proportionately chooses
students from each strand. Which
random sampling technique does he
apply?
4. The principal divides the senior high
school students depending on the
barangay where they live and
randomly picks some of the barangays
to answer the questionnaire. Which
random sampling technique does he
apply?
5. All LRN of each senior high
student are written in pieces of paper
and placed in a bowl. Mr. Manalo
picks the samples based from the table
of numbers. Which random sampling
technique does he apply?
QUIZ #5
Identify the random
sampling method used in
each item.
1. You are given a list of all
graduating students in your school.
You decide to survey every tenth
name on the list and ask in which
organization they belong.
2. You wish to make a comparison
about the gender differences on
Mathematics performance. You divide
the population into two groups, male
and female, and randomly pick
respondents from each of the gender.
names.
3. You assign numbers to the
members of the population and
then use draw lots to obtain your
samples.
4. You randomly pick five out of
fifteen barangays to where to
conduct your survey in your
municipality or city.
5. You write the names of
each student in pieces of
paper, shuffles and then
draw eight names.
6. methodical procedure
7. the population is divided into
different strata.
8. population is divided into clusters
9. selection of samples is possible
through the lottery method
10. method of getting samples
LESSON 2:
Parameter and
Statistic
Most of the researches need numerical values to
easily interpret results of the study. Those values
can be computed based from all the elements of
the population or from the randomly selected
samples that were taken. They can be classified
as to the different measures parameter and
statistic. Parameter and statistic is being
computed through different measures of central
tendency and variability.
POPULATION MEAN
The mean is the sum of the data divided by the
number of figures. The mean is used to describe
where the set of data tends to concentrate at a
certain point.
To compute for the population mean µ, we
simply add all the data and divide it by number
of data (N).
We apply the formula: µ =
where: µ = the population mean
∑x = the summation of x (sum of the measures)
N = number of elements in the population
Below are the grades in
Mathematics of grade 8 students
during the third quarter.
94 85 88 79 78
75 89 91 84 77
POPULATION VARIANCE
AND POPULATION
STANDARD DEVIATION
Variance and standard deviation
determine how spread or scattered
the set of data is.
To compute for the population variance , we
apply the formula:
=
where: x = given data
µ = the population mean
N = number of elements in the population
To compute for the population standard
deviation σ, we use the formula:
σ=
where: x = given data
µ = the population mean
N = number of elements in the population
Population mean µ, population
variance and population
standard deviation are what we
called parameters.
SAMPLE MEAN
The sample mean is the average of all
the data selected from the population.
To compute for the sample mean , we
simply add all the data and divide it
by number of samples (n).
We apply the formula:
where: = the sample mean
∑x = the summation of x (sum of
the measures)
n = number of samples
Let us now compute for the sample mean,
sample variance and sample standard
deviation.
Assume that the encircled are data that are
randomly selected from the population.
94 85 88 79 78
75 89 91 84 77
SAMPLE VARIANCE AND
SAMPLE STANDARD
DEVIATION
To compute for the sample variance ,
we apply the formula:
=
where: x = given data
= the sample mean
n = number of samples
To compute for the sample standard deviation
(s), we use the formula:
s =
where: x = given data
= the sample mean
n = number of samples
The IQ of 10 grade one students are given
below:
Compute for the population mean, population
variance, population standard deviation.
80 128 95 114 82
130 107 100 125 105
The scores of the 7 randomly selected
students are given below:
35 15 22
17 31 27 38
Complete the table and compute for the sample mean,
sample variance, sample standard deviation.
LESSON 3:
Sampling
Distribution of
Means
A sampling distribution of the sample
means is the frequency distribution
table using the computed sample means
from all the possible random samples of
a particular sample size taken from the
given population.
PHASES TO MAKE THE
SAMPLING DISTRIBUTION
OF THE SAMPLE MEANS
1. Determine the number of set of all
possible random samples that can be
drawn from the given population by
using the formula NCn where N is the
population size and n is the sample size.
=
N
2. List all the possible random samples
and solve for the sample mean of each
set of samples.
3. Construct a frequency distribution
table of the sample means indicating its
number of occurrence or the frequency
and together with its probability.
A population consists of the values
(1, 4, 3, 2). Consider samples of size 2
that can be drawn from this population.
A.List down all the possible samples and
corresponding sample mean.
Observation Samples Sample mean
1
2
3
4
5
6
B.Construct the sampling distribution of
the sample means.
Observation Samples Sample mean Frequency Probability
P(x)
1
2
3
4
5
6
Coren was able to sell numbers of
pairs of shoes which have sizes of 4,
5, 6, 7, and 8. Consider samples of
size 3 that can be drawn from this
population.
QUIZ #5
The grades show below is the grades in
Statistics and Probability of G11-ABM-Onyx
in the third quarter.
90 85 85 83 82
91 93 75 76 78
80 82 88 91 90
74 83 90 90 84
A population consists of the values
(1, 6, 8, 2 and 9). Consider samples of
size 2 that can be drawn from this
population.
Construct the sampling distribution of
the sample means and a histogram.
LESSON 4:
Finding the Mean and
Variance of the
Sampling Distribution
of Means
Statisticians do not just describe the variation of
the individual data values about the mean of the
population. They are also interested to know
how the means of the samples of the same size
taken from the same population vary about the
population mean. In this lesson, you will learn
how to describe the sampling distribution of the
sample means by computing its means and
variance.
Basic Steps in
Calculating Mean and
Variance of the
Sampling Distribution
of Means
1. Compute the mean of the
population.
2. Compute the variance of
the population.
3. Determine the number of
possible samples of size
n = 2.
4. List all possible samples
and their corresponding
means.
5. Construct the sampling
distribution of the sample
means.
6. Compute the mean of the
sampling distribution of the
sample means. Follow these steps:
a. Multiply the sample mean by
the corresponding probability.
b. Add the results.
7. Compute the variance of the
sampling distribution of the
sample means. Follow these steps:
a. Subtract the population mean from each sample
mean.
b. Square the difference.
c. Multiply the results by the corresponding
probability.
d. Add the results.
Consider a population consisting of
1, 2, 3, 4, and 5. Suppose samples of
size 2 are drawn from this population.
Describe the sampling distribution of
the sample means.
LESSON 5:
Central Limit
Theorem
What is Central Limit
Theorem?
The central limit theorem, which is a
statistical theory, states that when a large
sample size has a finite variance, the
samples will be normally distributed, and
the mean of samples will be
approximately equal to the mean of the
whole population.
Illustrative Example: Consider a
population consisting of the values 1, 2, 3,
4, 5, and 6.
A. Compute for the following:
1. population mean,
2. population variance and
3. population standard deviation.
1 2 3 4 5 6
The probability histogram of the population is shown above. Here
n = 1. Since there are 6 possible outcomes and each sample will have
a chance of occurring once, then the probability is 1/6.
.
The population mean can also be
obtained using probabilities. Using the
formula:
.
How about when you take them two at a time or the sample
size n = 2. It will give us another set of observations. Now,
consider all the possible samples of size 2 that can be drawn with
replacement from the population 1, 2, 3, 4, 5 and 6.
Compute the following:
1.Mean of the sampling distribution of the means
2.Variance of the sampling distribution of the means
3.Standard deviation of the sampling distribution of the means
4.Illustrate the probability histogram of the sampling
distribution of the means.
.
Observat
ion
Sample Mean - -2 Observati
on
Sample Mean() - -2
1 (1,1) 1 -2.5 6.25 19 (4,1) 2.5 -1 1
2 (1,2) 1.5 -2 4 20 (4,2) 3 -0.5 0.25
3 (1,3) 2 -1.5 2.25 21 (4,3) 3.5 0 0
4 (1,4) 2.5 -1 1 22 (4,4) 4 0.5 0.25
5 (1,5) 3 -0.5 0.25 23 (4,5) 4.5 1 1
6 (1,6) 3.5 0 0 24 (4,6) 5 1.5 2.25
7 (2,1) 1.5 -2 4 25 (5,1) 3 -0.5 0.25
8 (2,2) 2 -1.5 2.25 26 (5,2) 3.5 0 0
9 (2,3) 2.5 -1 1 27 (5,3) 4 0.5 0.25
10 (2,4) 3 -0.5 0.25 28 (5,4) 4.5 1 1
11 (2,5) 3.5 0 0 29 (5,5) 5 1.5 2.25
12 (2,6) 4 0.5 0.25 30 (5,6) 5.5 2 4
13 (3,1) 2 -1.5 2.25 31 (6,1) 3.5 0 0
14 (3,2) 2.5 -1 1 32 (6,2) 4 0.5 0.25
15 (3,3) 3 -0.5 0.25 33 (6,3) 4.5 1 1
16 (3,4) 3.5 0 0 34 (6,4) 5 1.5 2.25
17 (3,5) 4 0.5 0.25 35 (6,5) 5.5 2 4
18 (3,6) 4.5 1 1 36 (6,6) 6 2.5 6.25
Total 49.5 26.25 76.5 26.25
This is a graph
It’s a gas giant and
the biggest planet
Jupiter
Mars
Mars is a cold place,
not hot
Venus has a
beautiful name
Venus
Follow the link in the graph to modify its data and then paste the
new one here. For more info, click here
Jupiter Venus Mars
This is a graph
Jupiter is the biggest
planet
30% Jupiter
Venus has a
beautiful name
50% Venus
Mars is a cold place,
not hot
20% Mars
Follow the link in the graph to modify its data and then paste the new one here. For more info, click here
Jupiter Mars Venus
Maybe you need to divide the
content
Venus
Venus has a beautiful
name and is the second
planet from the Sun
Mercury
Mercury is the closest
planet to the Sun and the
smallest one
Maybe you need to divide the
content
Venus
Venus has a beautiful
name and it’s hot
Mercury
Mercury is the closest
planet to the Sun
Mars
Despite being red, Mars is
actually a cold place
Jupiter
It’s a gas giant and the
biggest planet
A picture is worth
a thousand words
A picture is
worth a
thousand
words
145,245
Big numbers catch your audience’s attention
795,321
Big numbers catch your audience’s attention
Schedule
Task 1
Task 2
Phase
1
Task 1
Task 2
Phase
2
9:00 10:00 11:00 12:00
Schedule
Monday Tuesday
Wednesda
y
Thursda
y
Friday
08:15 Task 1 Meeting Idea Project Test
10:20 Meeting Idea Task 3 Chat Task 4
12:15 Proposal Meeting Meeting Idea Idea
14:30 Test Task 2 Project Test Meeting
Company
02
Insert a subtitle here if you
need it
Company
02 Insert a subtitle here if you
need it
This is a graph
It’s a gas giant and
the biggest planet
Jupiter
Mars
Mars is a cold place,
not hot
1,254
8,554
Venus has a
beautiful name
Venus
4,215
Follow the link in the graph to modify its data and then paste the
new one here. For more info, click here
Jupiter
Venus
Mars
More graphs
Jupiter is the biggest
planet
35% Jupiter
Venus has a
beautiful name
10% Venus
Mars is a cold place,
not hot
20% Mars
Mercury is the
smallest planet
35%
Mercury
Target
50%
30% 20%
18 - 25 26 - 35 +36
30%
70%
Age
Gender
Target
60%
40%
Saturn is a gas giant and has rings
Mercury is the closest planet to the Sun
Age
25-38 39-50
Gender Most selled products
● Write the best-selling products
● Write the best-selling products
● Write the best-selling products
● Write the best-selling products
● Write the best-selling products
Annual expenses
Avg. expense: $5000
A picture
always
reinforces
the concept
Images reveal large amounts of
data, so remember: use and
image instead of long texts
A picture
always
reinforces
the concept
Images reveal large amounts of
data, so remember: use and
image instead of long texts
Your can use three columns
Venus
Venus is the second
planet from the Sun.
It’s really hot
Mars
Mars is actually a cold
place. It’s full of iron
oxide dust
Mercury
Mercury is the closest
planet to the Sun and
the smallest one
Venus
It’s a planet with very
high temperatures
Mercury
It’s the closest planet
to the Sun
Mars
Mars is actually a very
cold place
You can use six columns
Saturn
It’s composed of
hydrogen and helium
Jupiter
Jupiter is the biggest
planet of them all
Neptune
It’s the farthest planet
from the Sun
This is a timeline
Mars is a cold
place, not hot
Jupiter is the
biggest planet
Neptune
Neptune is far
away from Earth
Mercury
Mercury is the
smallest planet
01 02 03 04
Jupiter Mars
How the company generates income
Mars
Mars is actually
very cold
Jupiter
Jupiter is the
biggest planet
Neptune
Neptune is far
away from Earth
Saturn
Saturn is a gas
giant with rings
Mercury
Mercury is a small
planet
This is a table
Mars Venus Jupiter
Task 1
Task 2
Task 3
Task 4
This is a table
Task 1 Task 2 Task 3 Task 4
Descriptio
n
Jupiter is the
biggest planet
Mercury a
small planet
Saturn has
several rings
Neptune is far
away from us
Year 2019 2020 2021 2022
Duration Three months Two weeks Six months Four months
Percentages
Venus
Venus has a
beautiful name
Mars
Mars is actually a
cold place
Mercury
Mercury is the
smallest planet
20% 40% 60%
Percentages
Mars
Mars is actually a
very cold place
60%
Mercury
Mercury is the
smallest planet
40%
Venus
Venus has a beautiful
name
Mars
Mars is actually a cold
place
Mercury
Mercury is the
smallest planet
Jupiter
Jupiter is the biggest
planet
Neptune
Neptune is far away
from Earth
Saturn
Saturn is a gas giant
with several rings
You can use six columns
Mercury
Mercury is the
smallest planet
Mars
Despite being red,
Mars is cold
Jupiter
Jupiter is the biggest
planet
Neptune
Neptune is far away
from Earth
Saturn
Saturn is a gas giant
with rings
Competitors
Awesome
words
Awesom
e words
This is a map
It’s a gas giant and
the biggest planet
Jupiter
Mars
Mars is a cold place,
not hot
Venus has a
beautiful name
Venus
Mercury
Mercury is the
smallest planet
This is a map
Jupiter is the
biggest planet
Jupiter
Venus has a
beautiful name
Venus
Mars is a cold
place, not hot
Mars
Mercury is the
smallest planet
Mercury
Venus
Venus has a beautiful
name
Mars
Mars is actually a cold
place
Jupiter
Jupiter is the biggest
planet
Neptune
It’s the farthest planet
from the Sun
You can use four columns
Mars
Mars is actually a cold
place
Neptune
Neptune is far away
from Earth
Jupiter
Jupiter is the biggest
planet
01 02 03
You can use three columns
This is an infographic
Jupiter
Jupiter is the
biggest planet
Mars
Mars is a cold
place, not hot
Saturn
Saturn is a gas
giant with rings
Venus
Venus has a
beautiful name
01 02
03 04
This is an infographic
Mercury
Mercury is the closest planet
to the Sun
Mars
Despite being red, Mars is
actually a cold place
Venus
Venus is the second planet
from the Sun
Idea Produc
t
June
Venus has a beautiful
name
January
Mars is actually a cold
place
November
Mercury is the
smallest planet
125K 250K 540K
Monthly data
Jupiter
Jupiter is the biggest planet
of them all
Venus
Venus has a beautiful
name and it's very hot
Percentages
Neptune
It’s the farthest planet from
the Sun
Mars
Despite being red, Mars is
actually a cold place
25% 20%
40% 15%
Our goals
Venus
Venus has a beautiful
name
Mars
Mars is actually a cold
place
Jupiter
Jupiter is the biggest
planet
Neptune
It’s the farthest
planet from the Sun
Jupiter
Jupiter is the biggest
planet
Neptune
It’s the farthest
planet from the Sun
Venus
Venus has a beautiful
name
Our goals
Statistics
Phase 1 Phase 2 Phase 3
Mercury 1,254 9,145 8,145
Mars 5,214 6,541 3,214
Saturn 3,418 3,214 5,415
Statistics
2019 2020 2021 2022
Avg. spen $15,225 $40,000 $45,000 $65,000
Descriptio
n
Mercury is very
small
Venus has a
nice name
Jupiter is the
biggest planet
Mars is a cold
place, not hot
Customers 12,000 20,000 19,000 40,000
Jupiter’s rotation period
The Sun’s mass compared to Earth’s
Distance between Earth and the Moon
9h 55m 23s
333,000
386,000 km
35
4
Mars
78
9
Despite being red, Mars is
actually a cold place
Mercury
Mercury is the smallest planet
of them all
Neptune
Neptune is the farthest planet
from the Sun
91
2
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STATISTICS AND PROBABILITY- ACTIVITY CH1
STATISTICS AND PROBABILITY- ACTIVITY CH1
JANUARY FEBRUARY MARCH APRIL MAY JUNE
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STATISTICS AND PROBABILITY- ACTIVITY CH1
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“Despite being red,
Mars is actually a
very cold place”
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and the smallest”
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STATISTICS AND PROBABILITY- ACTIVITY CH1

  • 6. IS RAT TEA PIE AID
  • 16. In Statistics, it is sometimes impossible to gather data from the entire population or collection of objects being examined in the study but through the use of samples or representatives of the population, researchers get a clearer picture of the whole group being studied.
  • 17. The method of getting samples is called sampling where it needs not to be biased to give justice to the group it represents.
  • 18. Random sampling is a sampling method of choosing representatives from the population wherein every sample has an equal chance of being selected.
  • 20. Simple random sampling  the most basic random sampling wherein elements are usually represented by a number that are written on equal sized and shaped papers and then selection of samples is possible through the lottery method  Drawing number of paper is based from the desired number of sample.
  • 21. Example: A researcher writes the name of each student on a piece of paper, mixes the papers in a bowl, and draws 7 pieces of paper.
  • 22. Systematic random sampling  a random sampling which uses a list of all the elements in the population and then elements are being selected based from the kth consistent intervals. To get the kth interval, divide the population size by the sample size.
  • 23. Example: A researcher selects every 7th students from a list.
  • 24. Stratified random sampling  a random sampling wherein the population is divided into different strata.  Selection of samples will be proportionately randomly picked in each stratum that is why all strata have representatives in forming the samples.
  • 25. Example: A researcher separates the list from boys and girls then draws 7 names per each gender.
  • 26. Cluster random sampling  a random sampling wherein population is divided into clusters and then the clusters is randomly selected. All elements of the clusters randomly selected are considered the samples of the study.
  • 27. Example: A researcher surveys all students from 3 randomly selected classes out of 7 classes.
  • 28. Each team will be asked to place papers with its players’ names into a fishbowl and randomly drew out five names. The five names from each team will be combined to make up the sample. Which of the following sampling techniques is being used in this situation?
  • 29. The organizer will create a list of all players and they will be represented by a number. Sixty numbers will be picked to know the samples. Which random sampling technique did he apply?
  • 30. All players will be grouped according to their age and will proportionately choose players to measure their height. Which random sampling technique did he apply?
  • 31. Each player of the five teams that will be randomly chosen to answer the question prior to the study. Which random sampling technique did he apply?
  • 33. The Philippine High School has 5,000 senior students. Mr. Manalo, the principal, wants to obtain information from the senior high students as to their plans after graduation.
  • 34. 1. Principal Manalo writes all the names of the senior high school students on small pieces of paper and draws 500 names to participate in the study. Which random sampling technique does he apply?
  • 35. 2. The principal creates a list of all senior high students, decides to survey every tenth name on the list and later asks those students that are selected. Which random sampling technique does he apply?
  • 36. 3. Mr. Manalo divides the senior high students as to their grade level and strand. He proportionately chooses students from each strand. Which random sampling technique does he apply?
  • 37. 4. The principal divides the senior high school students depending on the barangay where they live and randomly picks some of the barangays to answer the questionnaire. Which random sampling technique does he apply?
  • 38. 5. All LRN of each senior high student are written in pieces of paper and placed in a bowl. Mr. Manalo picks the samples based from the table of numbers. Which random sampling technique does he apply?
  • 40. Identify the random sampling method used in each item.
  • 41. 1. You are given a list of all graduating students in your school. You decide to survey every tenth name on the list and ask in which organization they belong.
  • 42. 2. You wish to make a comparison about the gender differences on Mathematics performance. You divide the population into two groups, male and female, and randomly pick respondents from each of the gender. names.
  • 43. 3. You assign numbers to the members of the population and then use draw lots to obtain your samples.
  • 44. 4. You randomly pick five out of fifteen barangays to where to conduct your survey in your municipality or city.
  • 45. 5. You write the names of each student in pieces of paper, shuffles and then draw eight names.
  • 46. 6. methodical procedure 7. the population is divided into different strata. 8. population is divided into clusters 9. selection of samples is possible through the lottery method 10. method of getting samples
  • 48. Most of the researches need numerical values to easily interpret results of the study. Those values can be computed based from all the elements of the population or from the randomly selected samples that were taken. They can be classified as to the different measures parameter and statistic. Parameter and statistic is being computed through different measures of central tendency and variability.
  • 49. POPULATION MEAN The mean is the sum of the data divided by the number of figures. The mean is used to describe where the set of data tends to concentrate at a certain point.
  • 50. To compute for the population mean µ, we simply add all the data and divide it by number of data (N). We apply the formula: µ = where: µ = the population mean ∑x = the summation of x (sum of the measures) N = number of elements in the population
  • 51. Below are the grades in Mathematics of grade 8 students during the third quarter. 94 85 88 79 78 75 89 91 84 77
  • 52. POPULATION VARIANCE AND POPULATION STANDARD DEVIATION Variance and standard deviation determine how spread or scattered the set of data is.
  • 53. To compute for the population variance , we apply the formula: = where: x = given data µ = the population mean N = number of elements in the population
  • 54. To compute for the population standard deviation σ, we use the formula: σ= where: x = given data µ = the population mean N = number of elements in the population
  • 55. Population mean µ, population variance and population standard deviation are what we called parameters.
  • 56. SAMPLE MEAN The sample mean is the average of all the data selected from the population. To compute for the sample mean , we simply add all the data and divide it by number of samples (n).
  • 57. We apply the formula: where: = the sample mean ∑x = the summation of x (sum of the measures) n = number of samples
  • 58. Let us now compute for the sample mean, sample variance and sample standard deviation. Assume that the encircled are data that are randomly selected from the population. 94 85 88 79 78 75 89 91 84 77
  • 59. SAMPLE VARIANCE AND SAMPLE STANDARD DEVIATION
  • 60. To compute for the sample variance , we apply the formula: = where: x = given data = the sample mean n = number of samples
  • 61. To compute for the sample standard deviation (s), we use the formula: s = where: x = given data = the sample mean n = number of samples
  • 62. The IQ of 10 grade one students are given below: Compute for the population mean, population variance, population standard deviation. 80 128 95 114 82 130 107 100 125 105
  • 63. The scores of the 7 randomly selected students are given below: 35 15 22 17 31 27 38 Complete the table and compute for the sample mean, sample variance, sample standard deviation.
  • 65. A sampling distribution of the sample means is the frequency distribution table using the computed sample means from all the possible random samples of a particular sample size taken from the given population.
  • 66. PHASES TO MAKE THE SAMPLING DISTRIBUTION OF THE SAMPLE MEANS
  • 67. 1. Determine the number of set of all possible random samples that can be drawn from the given population by using the formula NCn where N is the population size and n is the sample size.
  • 68. = N
  • 69. 2. List all the possible random samples and solve for the sample mean of each set of samples.
  • 70. 3. Construct a frequency distribution table of the sample means indicating its number of occurrence or the frequency and together with its probability.
  • 71. A population consists of the values (1, 4, 3, 2). Consider samples of size 2 that can be drawn from this population.
  • 72. A.List down all the possible samples and corresponding sample mean.
  • 73. Observation Samples Sample mean 1 2 3 4 5 6
  • 74. B.Construct the sampling distribution of the sample means.
  • 75. Observation Samples Sample mean Frequency Probability P(x) 1 2 3 4 5 6
  • 76. Coren was able to sell numbers of pairs of shoes which have sizes of 4, 5, 6, 7, and 8. Consider samples of size 3 that can be drawn from this population.
  • 78. The grades show below is the grades in Statistics and Probability of G11-ABM-Onyx in the third quarter. 90 85 85 83 82 91 93 75 76 78 80 82 88 91 90 74 83 90 90 84
  • 79. A population consists of the values (1, 6, 8, 2 and 9). Consider samples of size 2 that can be drawn from this population. Construct the sampling distribution of the sample means and a histogram.
  • 80. LESSON 4: Finding the Mean and Variance of the Sampling Distribution of Means
  • 81. Statisticians do not just describe the variation of the individual data values about the mean of the population. They are also interested to know how the means of the samples of the same size taken from the same population vary about the population mean. In this lesson, you will learn how to describe the sampling distribution of the sample means by computing its means and variance.
  • 82. Basic Steps in Calculating Mean and Variance of the Sampling Distribution of Means
  • 83. 1. Compute the mean of the population.
  • 84. 2. Compute the variance of the population.
  • 85. 3. Determine the number of possible samples of size n = 2.
  • 86. 4. List all possible samples and their corresponding means.
  • 87. 5. Construct the sampling distribution of the sample means.
  • 88. 6. Compute the mean of the sampling distribution of the sample means. Follow these steps:
  • 89. a. Multiply the sample mean by the corresponding probability. b. Add the results.
  • 90. 7. Compute the variance of the sampling distribution of the sample means. Follow these steps:
  • 91. a. Subtract the population mean from each sample mean. b. Square the difference. c. Multiply the results by the corresponding probability. d. Add the results.
  • 92. Consider a population consisting of 1, 2, 3, 4, and 5. Suppose samples of size 2 are drawn from this population. Describe the sampling distribution of the sample means.
  • 94. What is Central Limit Theorem?
  • 95. The central limit theorem, which is a statistical theory, states that when a large sample size has a finite variance, the samples will be normally distributed, and the mean of samples will be approximately equal to the mean of the whole population.
  • 96. Illustrative Example: Consider a population consisting of the values 1, 2, 3, 4, 5, and 6. A. Compute for the following: 1. population mean, 2. population variance and 3. population standard deviation.
  • 97. 1 2 3 4 5 6 The probability histogram of the population is shown above. Here n = 1. Since there are 6 possible outcomes and each sample will have a chance of occurring once, then the probability is 1/6. .
  • 98. The population mean can also be obtained using probabilities. Using the formula: .
  • 99. How about when you take them two at a time or the sample size n = 2. It will give us another set of observations. Now, consider all the possible samples of size 2 that can be drawn with replacement from the population 1, 2, 3, 4, 5 and 6. Compute the following: 1.Mean of the sampling distribution of the means 2.Variance of the sampling distribution of the means 3.Standard deviation of the sampling distribution of the means 4.Illustrate the probability histogram of the sampling distribution of the means. .
  • 100. Observat ion Sample Mean - -2 Observati on Sample Mean() - -2 1 (1,1) 1 -2.5 6.25 19 (4,1) 2.5 -1 1 2 (1,2) 1.5 -2 4 20 (4,2) 3 -0.5 0.25 3 (1,3) 2 -1.5 2.25 21 (4,3) 3.5 0 0 4 (1,4) 2.5 -1 1 22 (4,4) 4 0.5 0.25 5 (1,5) 3 -0.5 0.25 23 (4,5) 4.5 1 1 6 (1,6) 3.5 0 0 24 (4,6) 5 1.5 2.25 7 (2,1) 1.5 -2 4 25 (5,1) 3 -0.5 0.25 8 (2,2) 2 -1.5 2.25 26 (5,2) 3.5 0 0 9 (2,3) 2.5 -1 1 27 (5,3) 4 0.5 0.25 10 (2,4) 3 -0.5 0.25 28 (5,4) 4.5 1 1 11 (2,5) 3.5 0 0 29 (5,5) 5 1.5 2.25 12 (2,6) 4 0.5 0.25 30 (5,6) 5.5 2 4 13 (3,1) 2 -1.5 2.25 31 (6,1) 3.5 0 0 14 (3,2) 2.5 -1 1 32 (6,2) 4 0.5 0.25 15 (3,3) 3 -0.5 0.25 33 (6,3) 4.5 1 1 16 (3,4) 3.5 0 0 34 (6,4) 5 1.5 2.25 17 (3,5) 4 0.5 0.25 35 (6,5) 5.5 2 4 18 (3,6) 4.5 1 1 36 (6,6) 6 2.5 6.25 Total 49.5 26.25 76.5 26.25
  • 101. This is a graph It’s a gas giant and the biggest planet Jupiter Mars Mars is a cold place, not hot Venus has a beautiful name Venus Follow the link in the graph to modify its data and then paste the new one here. For more info, click here Jupiter Venus Mars
  • 102. This is a graph Jupiter is the biggest planet 30% Jupiter Venus has a beautiful name 50% Venus Mars is a cold place, not hot 20% Mars Follow the link in the graph to modify its data and then paste the new one here. For more info, click here Jupiter Mars Venus
  • 103. Maybe you need to divide the content Venus Venus has a beautiful name and is the second planet from the Sun Mercury Mercury is the closest planet to the Sun and the smallest one
  • 104. Maybe you need to divide the content Venus Venus has a beautiful name and it’s hot Mercury Mercury is the closest planet to the Sun Mars Despite being red, Mars is actually a cold place Jupiter It’s a gas giant and the biggest planet
  • 105. A picture is worth a thousand words
  • 106. A picture is worth a thousand words
  • 107. 145,245 Big numbers catch your audience’s attention
  • 108. 795,321 Big numbers catch your audience’s attention
  • 109. Schedule Task 1 Task 2 Phase 1 Task 1 Task 2 Phase 2 9:00 10:00 11:00 12:00
  • 110. Schedule Monday Tuesday Wednesda y Thursda y Friday 08:15 Task 1 Meeting Idea Project Test 10:20 Meeting Idea Task 3 Chat Task 4 12:15 Proposal Meeting Meeting Idea Idea 14:30 Test Task 2 Project Test Meeting
  • 111. Company 02 Insert a subtitle here if you need it
  • 112. Company 02 Insert a subtitle here if you need it
  • 113. This is a graph It’s a gas giant and the biggest planet Jupiter Mars Mars is a cold place, not hot 1,254 8,554 Venus has a beautiful name Venus 4,215 Follow the link in the graph to modify its data and then paste the new one here. For more info, click here Jupiter Venus Mars
  • 114. More graphs Jupiter is the biggest planet 35% Jupiter Venus has a beautiful name 10% Venus Mars is a cold place, not hot 20% Mars Mercury is the smallest planet 35% Mercury
  • 115. Target 50% 30% 20% 18 - 25 26 - 35 +36 30% 70% Age Gender
  • 116. Target 60% 40% Saturn is a gas giant and has rings Mercury is the closest planet to the Sun Age 25-38 39-50 Gender Most selled products ● Write the best-selling products ● Write the best-selling products ● Write the best-selling products ● Write the best-selling products ● Write the best-selling products Annual expenses Avg. expense: $5000
  • 117. A picture always reinforces the concept Images reveal large amounts of data, so remember: use and image instead of long texts
  • 118. A picture always reinforces the concept Images reveal large amounts of data, so remember: use and image instead of long texts
  • 119. Your can use three columns Venus Venus is the second planet from the Sun. It’s really hot Mars Mars is actually a cold place. It’s full of iron oxide dust Mercury Mercury is the closest planet to the Sun and the smallest one
  • 120. Venus It’s a planet with very high temperatures Mercury It’s the closest planet to the Sun Mars Mars is actually a very cold place You can use six columns Saturn It’s composed of hydrogen and helium Jupiter Jupiter is the biggest planet of them all Neptune It’s the farthest planet from the Sun
  • 121. This is a timeline Mars is a cold place, not hot Jupiter is the biggest planet Neptune Neptune is far away from Earth Mercury Mercury is the smallest planet 01 02 03 04 Jupiter Mars
  • 122. How the company generates income Mars Mars is actually very cold Jupiter Jupiter is the biggest planet Neptune Neptune is far away from Earth Saturn Saturn is a gas giant with rings Mercury Mercury is a small planet
  • 123. This is a table Mars Venus Jupiter Task 1 Task 2 Task 3 Task 4
  • 124. This is a table Task 1 Task 2 Task 3 Task 4 Descriptio n Jupiter is the biggest planet Mercury a small planet Saturn has several rings Neptune is far away from us Year 2019 2020 2021 2022 Duration Three months Two weeks Six months Four months
  • 125. Percentages Venus Venus has a beautiful name Mars Mars is actually a cold place Mercury Mercury is the smallest planet 20% 40% 60%
  • 126. Percentages Mars Mars is actually a very cold place 60% Mercury Mercury is the smallest planet 40%
  • 127. Venus Venus has a beautiful name Mars Mars is actually a cold place Mercury Mercury is the smallest planet Jupiter Jupiter is the biggest planet Neptune Neptune is far away from Earth Saturn Saturn is a gas giant with several rings You can use six columns
  • 128. Mercury Mercury is the smallest planet Mars Despite being red, Mars is cold Jupiter Jupiter is the biggest planet Neptune Neptune is far away from Earth Saturn Saturn is a gas giant with rings Competitors
  • 131. This is a map It’s a gas giant and the biggest planet Jupiter Mars Mars is a cold place, not hot Venus has a beautiful name Venus Mercury Mercury is the smallest planet
  • 132. This is a map Jupiter is the biggest planet Jupiter Venus has a beautiful name Venus Mars is a cold place, not hot Mars Mercury is the smallest planet Mercury
  • 133. Venus Venus has a beautiful name Mars Mars is actually a cold place Jupiter Jupiter is the biggest planet Neptune It’s the farthest planet from the Sun You can use four columns
  • 134. Mars Mars is actually a cold place Neptune Neptune is far away from Earth Jupiter Jupiter is the biggest planet 01 02 03 You can use three columns
  • 135. This is an infographic Jupiter Jupiter is the biggest planet Mars Mars is a cold place, not hot Saturn Saturn is a gas giant with rings Venus Venus has a beautiful name 01 02 03 04
  • 136. This is an infographic Mercury Mercury is the closest planet to the Sun Mars Despite being red, Mars is actually a cold place Venus Venus is the second planet from the Sun Idea Produc t
  • 137. June Venus has a beautiful name January Mars is actually a cold place November Mercury is the smallest planet 125K 250K 540K Monthly data
  • 138. Jupiter Jupiter is the biggest planet of them all Venus Venus has a beautiful name and it's very hot Percentages Neptune It’s the farthest planet from the Sun Mars Despite being red, Mars is actually a cold place 25% 20% 40% 15%
  • 139. Our goals Venus Venus has a beautiful name Mars Mars is actually a cold place Jupiter Jupiter is the biggest planet Neptune It’s the farthest planet from the Sun
  • 140. Jupiter Jupiter is the biggest planet Neptune It’s the farthest planet from the Sun Venus Venus has a beautiful name Our goals
  • 141. Statistics Phase 1 Phase 2 Phase 3 Mercury 1,254 9,145 8,145 Mars 5,214 6,541 3,214 Saturn 3,418 3,214 5,415
  • 142. Statistics 2019 2020 2021 2022 Avg. spen $15,225 $40,000 $45,000 $65,000 Descriptio n Mercury is very small Venus has a nice name Jupiter is the biggest planet Mars is a cold place, not hot Customers 12,000 20,000 19,000 40,000
  • 143. Jupiter’s rotation period The Sun’s mass compared to Earth’s Distance between Earth and the Moon 9h 55m 23s 333,000 386,000 km
  • 144. 35 4 Mars 78 9 Despite being red, Mars is actually a cold place Mercury Mercury is the smallest planet of them all Neptune Neptune is the farthest planet from the Sun 91 2
  • 145. Desktop mockup You can replace the image on the screen with your own work
  • 146. Tablet app You can replace the image on the screen with your own work
  • 147. Mobile web You can replace the image on the screen with your own work
  • 148. Laptop mockup You can replace the image on the screen with your own work
  • 149. ● Write your references here ● Write your references here ● Write your references here ● Write your references here ● Write your references here ● Write your references here ● Write your references here ● Write your references here List of references
  • 150. ● Write references of internet ● Write references of internet ● Write references of internet ● Write references of internet ● Write references of internet ● Write references of internet ● Write references of internet ● Write references of internet Research references ● Write references of books ● Write references of books ● Write references of books ● Write references of books ● Write references of books ● Write references of books ● Write references of books ● Write references of books
  • 151. You can replace the image on the screen with your own Our team John Smith You can replace the image on the screen with your own Jenna Doe
  • 152. Joe Smith Our team You can replace the image on the screen with your own Janice Clarke You can replace the image on the screen with your own Dalila Roge You can replace the image on the screen with your own
  • 153. CREDITS: This presentation template was created by Slidesgo, including icons by Flaticon , infographics & images by Freepik Thanks Do you have any questions? your email@freepik.com +91 620 421 838 yourcompany.com Please keep this slide for attribution
  • 156. Photos ● People in business meeting high angle ● Front view of people meeting over a cup of coffee ● Businessman at office with laptop ● Smiley redhead business woman working ● Business women talking while looking ● Medium shot smiley business woman Alternative resources
  • 157. Photos ● Smiling young woman working at laptop in office ● Medium shot woman with box ● Medium shot business people with devices ● Startups entrepreneurs discussing strategies ● Close up business people at tablet ● Man and woman discussing a new project ● Business people discussing a new project Alternative resources
  • 158. Photos ● Coworkers discussing a new project together ● Smiley man holding project documents ● Businessman respecting safety measures at the offic e ● Young man using laptop with coffee cup Icons ● Business Icon Pack Alternative resources
  • 159. Photos ● Business people doing their job ● People having a meeting in the office ● Young co worker spending time in office ● Front view woman working at office ● Front view woman working as economist ● Smiley woman at business meeting Resources
  • 160. Photos ● Low angle womens team meeting ● Close up on company employee smiling ● Close up on young businesswoman ● Low angle womens team meeting I ● Blond woman sitting back and smiling with closed ey es at workplace ● Happy business woman holding coffee Resources
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  • 178. Add the title here Text 1 Text 2 Text 3 Text 4 Text 5 Text 6 2016 2017 2018 2019 2020 “Despite being red, Mars is actually a very cold place” “Mercury is closest planet to the Sun and the smallest” “Neptune is the farthest-known planet from the Sun” “Saturn is a gas giant and has several rings” “Venus has a beautiful name and is the second planet” Premium infographics
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