SlideShare a Scribd company logo
2-1 The Language of Functions
univariate data:
data involving a single variable
data involving two variables
bivariate data:
mathematical description of a real situation
2-1 The Language of Functions
mathematical model:
2-1 The Language of Functions
relation:
any set of ordered pairs
function:
a set of ordered pairs (x,y) in which each value
of x is paired with exactly one value of y
2-1 The Language of Functions
independent variable (typically x):
the first variable in a relation (typically x)
dependent variable (typically y):
the second variable in a relation (typically y)
domain (think x values):
2-1 The Language of Functions
the first value in a set of ordered pairs
range (think y values):
the second value in a set of ordered pairs
vertical line test:
2-1 The Language of Functions
any vertical line drawn through a function will
intersect the graph in no more than one point
argument:
2-1 The Language of Functions
the variable x is sometimes called
the argument of a function
2-1 Examples
a. Which is true, “cost is a function of miles driven” or
“miles driven is a function of cost”?
b. Identify the independent and dependent variables.
c. State the domain and range of the function.
1. The cost of renting a car is $35 per day plus
$0.40/mile for mileage over 100 miles.
2-1 Examples
a. List three ordered pairs in the function.
b. Write an equation to express the relation between
miles and cost.
c. Graph the function.
2. Use the information in #1 above, assuming m 100≥
and the car is rented for one day only.
2-1 Examples
rule
whose
domain is the
set of real
numbers.
y = 2ξ2
+10
2-1 Examples
4. Supposef (t) = (2 − 3τ)(τ+ 6)
a. Evaluate f(1), f(2), and f(3).
b. Does f(1) + f(2) = f(3)?
2-1 Examples
5. If
, find
the following:
h(x) = ξ2
−
1
ξ
a. h(-2)
b. h(4t)
c. h(a+5)
2-2 Linear Models & Correlation
linear function:
a set of ordered pairs (x,y) that can be described by an
equation of the from y=mx+b where m and b are constants
2-2 Linear Models & Correlation
linear regression:
the method of finding a line of best fit to a set of points
2-2 Linear Models & Correlation
correlation coefficient:
a measure of the strength of the linear relation
between two variables, denoted by “r”.
perfect correlation:
r=1 or r=-1
2-2 Linear Models & Correlation
positive relation:
a positive relation between variables
think “positive slope”
negative relation:
a negative relation between variables
think “negative slope”
2-2 Linear Models & Correlation
strong relation:
a relation for which most of
the data fall close to a line
weak relation:
a relation for which most of
the data do not fall close to a line
2-2 Examples
a. Find a linear model between the cost and the rating.
b. Use the model to predict the rating of a $45 coffee maker.
c. How much faith do you have in the estimate in part b?
d. Is the prediction in part b interpolation or extrapolation?
1. The October, 1994, Consumer Reports listed the following
prices and overall ratings for drip coffee makers:
($27, 79), ($25, 77), ($60, 70), ($50, 66), ($22, 61), ($60, 61), ($35, 61), ($20, 60), ($35, 58),
($40, 54), ($22, 53), ($40, 51), ($30, 43), ($30, 35), ($20, 34), ($35, 32), ($19, 28).
2-2 Examples
a. Find a linear model for y in terms of w.
b. What is the correlation between y and w?
c. At this rate of weight loss, when will she reach her goal
of 132 pounds?
d. Is this prediction interpolation or extrapolation?
2. A 140-pound 5’2” tall woman diets, wishing to lose 0.5
pounds per week. Let y be her weight after w weeks,
where 0 ≤ w 20.≤
2-3 The Line of Best Fit
observed values:
data collected from experiments or surveys
predicted values:
points predicted by linear models
expected values:
2-3 The Line of Best Fit
errors in prediction:
deviations:
the differences between observed and predicted values
observed - predicted
2-3 The Line of Best Fit
line of best fit:
the line with the smallest value for
the sum of the squares of the errors
2-3 The Line of Best Fit
method of least squares:
the process of finding the line of best fit
2-3 The Line of Best Fit
center of gravity:
are the
mean of
the
observed
x-values
and the
mean of
the
observed
y-values
(x,y)
2-3 The Line of Best Fit
interpolation:
prediction between known values
extrapolation:
prediction beyond known values (more hazardous)
2-3 Examples
1. Find an equation for the line of best fit through the data
points.
2. Verify that the center of gravity of the four given points
is on the line of best fit.
3. Find the sum of the squares of the errors for the line of
best fit for these points.
In August 1990, Consumer Reports listed the following average
prices per pound for four grades of raw hamburger: regular
(72.5% lean), $1.57; chuck (80% lean), $1.85; round (85%
lean), $2.38; sirloin (92.5% lean), $2.93.
QuickTime™ and a
decompressor
are needed to see this picture.
2-4 Exponential Functions
exponential function:
where a≠0,
b>0, and b≠1.
a = beginning
amount
b= growth
factor
f (x) = αβξ
2-4 Exponential Functions
base:
the number
“b” in
f (x) = αβξ
Do you remember what “a” represents?
2-4 Exponential Functions
exponential growth function:
when b>1 in
f (x) = αβξ
exponential growth curve: exponential decay curve:
2-4 Exponential Functions
growth rate:
the factor by which a quantity changes during a
given time period. It is the “b” value.
2-4 Exponential Functions
strictly increasing/decreasing:
increasing (growth) decreasing (decay)
b>1 0<b<1
2-4 Exponential Functions
asymptote (a-simp-tote):
a line that the curve approaches but never touches
Example 1Example 2
2-4 Examples
1. With these assumptions, give a formula for the U.S.
population x years after 1995.
2. From the formula, estimate the population in 2010.
1. In 1995, the U.S. population was estimated at 264,000,000
people and was predicted to grow about 0.9% a year for the
near future.
2-4 Examples
functions f,
g,
and h,
where
,
, and
for all
values of x.
f (x) = 6ξ
g(x) = (
1
6
)ξ
h(x) = 6− ξ
2-5 Exponential Models
exponential model:
where
a≠0, b>0
and b≠1
y = αβξ
2-5 Exponential Models
initial value:
growth factor:
the “a”
value in
y = αβξthe “b”
value in
y = αβξ
2-5 Exponential Models
doubling time:
how long it takes for a quantity to double;
growth factor b = 2
half-life:
how long it takes for a quantity to decay to
half its original amount
growth factor b = .5
2-5 Examples
1. The population of a certain cell type was observed to be 100
on the second day, and 2700 on the fifth day. Assuming the
growth is exponential, find the number of cells present initially,
and the number of cells expected on the seventh day.
2-5 Examples
a. Give a formula for A(t), the amount the note is worth
after t years.
b. How much is in the account after 15 years?
3. Use the compound interest formula to
answer the following questions: $1500 is put in a treasury note
paying 5.5%.
A(t) = Π(1+ ψ)
τ
2-6 Quadratic Models
quadratic model:
a model based on quadratic functions
2-6 Quadratic Models
parabola:
a graph of a quadratic function
Show
me
y = ξ2
2-6 Quadratic Models
maximum point:
if the parabola opens down, it has a maximum
minimum point:
if the parabola opens up, it has a minimum
the point is called the vertex
2-6 Quadratic Models
acceleration due to gravity:
g = 32 φτ/ σεχ2
ορ 9.8µ / σεχ2
2-6 Quadratic Models
quadratic regression:
finding an equation for the best fitting
parabola through a set of points
minimum of 3 sets of points needed
2-6 Quadratic Models
impressionistic model:
non-theory-based model:
no theory exists that explains why the
model fits the data
2-6 Examples
a. Find its x- and y-intercepts.
b. Tell whether the parabola has a maximum or minimum
point and find its coordinates.
1. Consider the function f with rule .f (x) = 2ξ2
− 9ξ + 3
2-6 Examples
2. A projectile is shot from a tower 10 feet high with an
upward velocity of 100 feet per second.
a. Approximate the relationship between height h (in feet) and
time t (in seconds) after the projectile is shot.
b. How long is the projectile in the air?
h(t) = −
1
2
γτ2
+ ϖ0τ+ η0
h(t) = −
1
2
(32)τ2
+100τ+10
h(t) = −16τ2
+100τ+10
Hint: find the 2nd x-intercept since x represents time
2-6 Examples
3. A student was doodling and drew the following patterns of
dots. In counting the number of dots, the student found there
were 1, 5, 13, and 25 dots. Let y be the number of dots in the
xth pattern. Find a quadratic model linking x and y. (If needed,
give the following hint: The graph must contain the points (1,
1), (2, 5), (3, 13), and (4, 25).
Hint: quadratic model … hmmm, maybe a calculator!
2-7 Step Functions
step function:
a function whose graph looks like steps
2-7 Step Functions
greatest integer function:
rounding down function:
floor function:
numb
er x,
f(x) is
the
great
est
integ
er
less
than
or
equal
to x.
Use
this
symb
x or INT x (on calculator)
HUH??
2-7 Step Functions
rounding-up function:
ceiling function:
r
xwith
the
smalle
st
intege
r
greate
r than
or
equal
to x.
Use
this
symbo
l:
x  But, how does
it work?
2-7 Step Functions
discontinuous:
the graph cannot be drawn without lifting your
pencil off the paper
point of discontinuity:
the value of x at which you lift your pencil
continuous:
a graph that has no point of discontinuity
2-7 Examples
1. Evaluate each expression.
a. 33.4 
β. ΙΝΤ(2π)
χ. − 7



δ. 100.4 + 98.3+ 6.4 
34
6
-3
205
2-7 Examples
3. How many buses b are needed to transport s students if each
bus can hold 44 students and no other means of transportation
is used?
Think: how many buses are needed to transport 50 students?
50
44
= 1.14
However, we can’t have 1.14 buses, so we must round up! So …
b =
σ
44




2-7 Examples
4. Suppose it costs $50 to rent a bus in the above situation.
What will it cost to transport 300 students?
b =
300
44




b =
σ
44




b = 6.82 
b = 7 βυσεσ
7 * $50 per bus = $350

More Related Content

PPT
5.1 indentifying linear equations
PDF
PDF
Module1 exponential functions
PPTX
Pure Mathematics 1- Functions
PPT
matrices and determinantes
PPTX
6.3 matrix algebra
PPT
Alin 2.2 2.4
PDF
Matrices and determinants
5.1 indentifying linear equations
Module1 exponential functions
Pure Mathematics 1- Functions
matrices and determinantes
6.3 matrix algebra
Alin 2.2 2.4
Matrices and determinants

What's hot (20)

PPTX
MATLAB - Arrays and Matrices
PPTX
Inverse Matrix & Determinants
PDF
Module 1 linear functions
PDF
Module 2 exponential functions
DOC
NUMERICAL METHODS MULTIPLE CHOICE QUESTIONS
PPTX
PPTX
Linear functions
PDF
2.4 Linear Functions
PPTX
210 graphs of factorable rational functions
PPTX
5 3 the graphs of quadratic equations-x
PPS
Unit v
PPS
PPTX
Determinants
PPT
Algebra 2. 9.16 Quadratics 2
PPTX
My Lecture Notes from Linear Algebra
PPTX
MATLAB - Aplication of Arrays and Matrices in Electrical Systems
PPT
Polynomial functionsandgraphs
PPTX
PPT
Linear Algebra and Matrix
PPTX
statistics assignment help
MATLAB - Arrays and Matrices
Inverse Matrix & Determinants
Module 1 linear functions
Module 2 exponential functions
NUMERICAL METHODS MULTIPLE CHOICE QUESTIONS
Linear functions
2.4 Linear Functions
210 graphs of factorable rational functions
5 3 the graphs of quadratic equations-x
Unit v
Determinants
Algebra 2. 9.16 Quadratics 2
My Lecture Notes from Linear Algebra
MATLAB - Aplication of Arrays and Matrices in Electrical Systems
Polynomial functionsandgraphs
Linear Algebra and Matrix
statistics assignment help
Ad

Similar to Fst ch2 notes (20)

PPT
Statistics lesson 2
PPTX
function
PPTX
general mathematics discussion for week 2.pptx
PDF
TESTBANK FOR for Applied Calculus 7e Hughes-Hallett
PPTX
(8) Lesson 4.4
PPTX
Precalculus ( Polynomial Functions.pptx)
PPTX
Business mathematics to record and manage business operations. CTraining ppx
PPT
Chapter 5 Identifying Linear Functions
PDF
4.2 Modeling With Linear Functions
PPTX
Writing functions presentation
PPTX
power point presentation on genmath_lesson1_2_.pptx
PDF
Principle of Function Analysis - by Arun Umrao
PDF
Function Analysis v.1
DOCX
Real meaning of functions
PPT
Linear functions and modeling
PPTX
(8) Chapter 4 Study Guide
PPTX
1_Relations and Functions grade eight.pptx
DOCX
Conditional probability
PPTX
Functions lesson
PDF
Limits and Continuity of Functions
Statistics lesson 2
function
general mathematics discussion for week 2.pptx
TESTBANK FOR for Applied Calculus 7e Hughes-Hallett
(8) Lesson 4.4
Precalculus ( Polynomial Functions.pptx)
Business mathematics to record and manage business operations. CTraining ppx
Chapter 5 Identifying Linear Functions
4.2 Modeling With Linear Functions
Writing functions presentation
power point presentation on genmath_lesson1_2_.pptx
Principle of Function Analysis - by Arun Umrao
Function Analysis v.1
Real meaning of functions
Linear functions and modeling
(8) Chapter 4 Study Guide
1_Relations and Functions grade eight.pptx
Conditional probability
Functions lesson
Limits and Continuity of Functions
Ad

Recently uploaded (20)

PPTX
Final Presentation General Medicine 03-08-2024.pptx
PDF
The Lost Whites of Pakistan by Jahanzaib Mughal.pdf
PDF
Saundersa Comprehensive Review for the NCLEX-RN Examination.pdf
PPTX
Pharmacology of Heart Failure /Pharmacotherapy of CHF
PPTX
Introduction-to-Literarature-and-Literary-Studies-week-Prelim-coverage.pptx
PDF
STATICS OF THE RIGID BODIES Hibbelers.pdf
PDF
Module 4: Burden of Disease Tutorial Slides S2 2025
PPTX
Cell Types and Its function , kingdom of life
PDF
Microbial disease of the cardiovascular and lymphatic systems
PDF
RMMM.pdf make it easy to upload and study
PDF
grade 11-chemistry_fetena_net_5883.pdf teacher guide for all student
PDF
01-Introduction-to-Information-Management.pdf
PDF
ANTIBIOTICS.pptx.pdf………………… xxxxxxxxxxxxx
PPTX
Institutional Correction lecture only . . .
PDF
A systematic review of self-coping strategies used by university students to ...
PDF
2.FourierTransform-ShortQuestionswithAnswers.pdf
PDF
Black Hat USA 2025 - Micro ICS Summit - ICS/OT Threat Landscape
PDF
O7-L3 Supply Chain Operations - ICLT Program
PDF
OBE - B.A.(HON'S) IN INTERIOR ARCHITECTURE -Ar.MOHIUDDIN.pdf
PPTX
Microbial diseases, their pathogenesis and prophylaxis
Final Presentation General Medicine 03-08-2024.pptx
The Lost Whites of Pakistan by Jahanzaib Mughal.pdf
Saundersa Comprehensive Review for the NCLEX-RN Examination.pdf
Pharmacology of Heart Failure /Pharmacotherapy of CHF
Introduction-to-Literarature-and-Literary-Studies-week-Prelim-coverage.pptx
STATICS OF THE RIGID BODIES Hibbelers.pdf
Module 4: Burden of Disease Tutorial Slides S2 2025
Cell Types and Its function , kingdom of life
Microbial disease of the cardiovascular and lymphatic systems
RMMM.pdf make it easy to upload and study
grade 11-chemistry_fetena_net_5883.pdf teacher guide for all student
01-Introduction-to-Information-Management.pdf
ANTIBIOTICS.pptx.pdf………………… xxxxxxxxxxxxx
Institutional Correction lecture only . . .
A systematic review of self-coping strategies used by university students to ...
2.FourierTransform-ShortQuestionswithAnswers.pdf
Black Hat USA 2025 - Micro ICS Summit - ICS/OT Threat Landscape
O7-L3 Supply Chain Operations - ICLT Program
OBE - B.A.(HON'S) IN INTERIOR ARCHITECTURE -Ar.MOHIUDDIN.pdf
Microbial diseases, their pathogenesis and prophylaxis

Fst ch2 notes

  • 1. 2-1 The Language of Functions univariate data: data involving a single variable data involving two variables bivariate data:
  • 2. mathematical description of a real situation 2-1 The Language of Functions mathematical model:
  • 3. 2-1 The Language of Functions relation: any set of ordered pairs function: a set of ordered pairs (x,y) in which each value of x is paired with exactly one value of y
  • 4. 2-1 The Language of Functions independent variable (typically x): the first variable in a relation (typically x) dependent variable (typically y): the second variable in a relation (typically y)
  • 5. domain (think x values): 2-1 The Language of Functions the first value in a set of ordered pairs range (think y values): the second value in a set of ordered pairs
  • 6. vertical line test: 2-1 The Language of Functions any vertical line drawn through a function will intersect the graph in no more than one point
  • 7. argument: 2-1 The Language of Functions the variable x is sometimes called the argument of a function
  • 8. 2-1 Examples a. Which is true, “cost is a function of miles driven” or “miles driven is a function of cost”? b. Identify the independent and dependent variables. c. State the domain and range of the function. 1. The cost of renting a car is $35 per day plus $0.40/mile for mileage over 100 miles.
  • 9. 2-1 Examples a. List three ordered pairs in the function. b. Write an equation to express the relation between miles and cost. c. Graph the function. 2. Use the information in #1 above, assuming m 100≥ and the car is rented for one day only.
  • 10. 2-1 Examples rule whose domain is the set of real numbers. y = 2ξ2 +10
  • 11. 2-1 Examples 4. Supposef (t) = (2 − 3τ)(τ+ 6) a. Evaluate f(1), f(2), and f(3). b. Does f(1) + f(2) = f(3)?
  • 12. 2-1 Examples 5. If , find the following: h(x) = ξ2 − 1 ξ a. h(-2) b. h(4t) c. h(a+5)
  • 13. 2-2 Linear Models & Correlation linear function: a set of ordered pairs (x,y) that can be described by an equation of the from y=mx+b where m and b are constants
  • 14. 2-2 Linear Models & Correlation linear regression: the method of finding a line of best fit to a set of points
  • 15. 2-2 Linear Models & Correlation correlation coefficient: a measure of the strength of the linear relation between two variables, denoted by “r”. perfect correlation: r=1 or r=-1
  • 16. 2-2 Linear Models & Correlation positive relation: a positive relation between variables think “positive slope” negative relation: a negative relation between variables think “negative slope”
  • 17. 2-2 Linear Models & Correlation strong relation: a relation for which most of the data fall close to a line weak relation: a relation for which most of the data do not fall close to a line
  • 18. 2-2 Examples a. Find a linear model between the cost and the rating. b. Use the model to predict the rating of a $45 coffee maker. c. How much faith do you have in the estimate in part b? d. Is the prediction in part b interpolation or extrapolation? 1. The October, 1994, Consumer Reports listed the following prices and overall ratings for drip coffee makers: ($27, 79), ($25, 77), ($60, 70), ($50, 66), ($22, 61), ($60, 61), ($35, 61), ($20, 60), ($35, 58), ($40, 54), ($22, 53), ($40, 51), ($30, 43), ($30, 35), ($20, 34), ($35, 32), ($19, 28).
  • 19. 2-2 Examples a. Find a linear model for y in terms of w. b. What is the correlation between y and w? c. At this rate of weight loss, when will she reach her goal of 132 pounds? d. Is this prediction interpolation or extrapolation? 2. A 140-pound 5’2” tall woman diets, wishing to lose 0.5 pounds per week. Let y be her weight after w weeks, where 0 ≤ w 20.≤
  • 20. 2-3 The Line of Best Fit observed values: data collected from experiments or surveys predicted values: points predicted by linear models expected values:
  • 21. 2-3 The Line of Best Fit errors in prediction: deviations: the differences between observed and predicted values observed - predicted
  • 22. 2-3 The Line of Best Fit line of best fit: the line with the smallest value for the sum of the squares of the errors
  • 23. 2-3 The Line of Best Fit method of least squares: the process of finding the line of best fit
  • 24. 2-3 The Line of Best Fit center of gravity: are the mean of the observed x-values and the mean of the observed y-values (x,y)
  • 25. 2-3 The Line of Best Fit interpolation: prediction between known values extrapolation: prediction beyond known values (more hazardous)
  • 26. 2-3 Examples 1. Find an equation for the line of best fit through the data points. 2. Verify that the center of gravity of the four given points is on the line of best fit. 3. Find the sum of the squares of the errors for the line of best fit for these points. In August 1990, Consumer Reports listed the following average prices per pound for four grades of raw hamburger: regular (72.5% lean), $1.57; chuck (80% lean), $1.85; round (85% lean), $2.38; sirloin (92.5% lean), $2.93.
  • 27. QuickTime™ and a decompressor are needed to see this picture.
  • 28. 2-4 Exponential Functions exponential function: where a≠0, b>0, and b≠1. a = beginning amount b= growth factor f (x) = αβξ
  • 29. 2-4 Exponential Functions base: the number “b” in f (x) = αβξ Do you remember what “a” represents?
  • 30. 2-4 Exponential Functions exponential growth function: when b>1 in f (x) = αβξ exponential growth curve: exponential decay curve:
  • 31. 2-4 Exponential Functions growth rate: the factor by which a quantity changes during a given time period. It is the “b” value.
  • 32. 2-4 Exponential Functions strictly increasing/decreasing: increasing (growth) decreasing (decay) b>1 0<b<1
  • 33. 2-4 Exponential Functions asymptote (a-simp-tote): a line that the curve approaches but never touches Example 1Example 2
  • 34. 2-4 Examples 1. With these assumptions, give a formula for the U.S. population x years after 1995. 2. From the formula, estimate the population in 2010. 1. In 1995, the U.S. population was estimated at 264,000,000 people and was predicted to grow about 0.9% a year for the near future.
  • 35. 2-4 Examples functions f, g, and h, where , , and for all values of x. f (x) = 6ξ g(x) = ( 1 6 )ξ h(x) = 6− ξ
  • 36. 2-5 Exponential Models exponential model: where a≠0, b>0 and b≠1 y = αβξ
  • 37. 2-5 Exponential Models initial value: growth factor: the “a” value in y = αβξthe “b” value in y = αβξ
  • 38. 2-5 Exponential Models doubling time: how long it takes for a quantity to double; growth factor b = 2 half-life: how long it takes for a quantity to decay to half its original amount growth factor b = .5
  • 39. 2-5 Examples 1. The population of a certain cell type was observed to be 100 on the second day, and 2700 on the fifth day. Assuming the growth is exponential, find the number of cells present initially, and the number of cells expected on the seventh day.
  • 40. 2-5 Examples a. Give a formula for A(t), the amount the note is worth after t years. b. How much is in the account after 15 years? 3. Use the compound interest formula to answer the following questions: $1500 is put in a treasury note paying 5.5%. A(t) = Π(1+ ψ) τ
  • 41. 2-6 Quadratic Models quadratic model: a model based on quadratic functions
  • 42. 2-6 Quadratic Models parabola: a graph of a quadratic function Show me y = ξ2
  • 43. 2-6 Quadratic Models maximum point: if the parabola opens down, it has a maximum minimum point: if the parabola opens up, it has a minimum the point is called the vertex
  • 44. 2-6 Quadratic Models acceleration due to gravity: g = 32 φτ/ σεχ2 ορ 9.8µ / σεχ2
  • 45. 2-6 Quadratic Models quadratic regression: finding an equation for the best fitting parabola through a set of points minimum of 3 sets of points needed
  • 46. 2-6 Quadratic Models impressionistic model: non-theory-based model: no theory exists that explains why the model fits the data
  • 47. 2-6 Examples a. Find its x- and y-intercepts. b. Tell whether the parabola has a maximum or minimum point and find its coordinates. 1. Consider the function f with rule .f (x) = 2ξ2 − 9ξ + 3
  • 48. 2-6 Examples 2. A projectile is shot from a tower 10 feet high with an upward velocity of 100 feet per second. a. Approximate the relationship between height h (in feet) and time t (in seconds) after the projectile is shot. b. How long is the projectile in the air? h(t) = − 1 2 γτ2 + ϖ0τ+ η0 h(t) = − 1 2 (32)τ2 +100τ+10 h(t) = −16τ2 +100τ+10 Hint: find the 2nd x-intercept since x represents time
  • 49. 2-6 Examples 3. A student was doodling and drew the following patterns of dots. In counting the number of dots, the student found there were 1, 5, 13, and 25 dots. Let y be the number of dots in the xth pattern. Find a quadratic model linking x and y. (If needed, give the following hint: The graph must contain the points (1, 1), (2, 5), (3, 13), and (4, 25). Hint: quadratic model … hmmm, maybe a calculator!
  • 50. 2-7 Step Functions step function: a function whose graph looks like steps
  • 51. 2-7 Step Functions greatest integer function: rounding down function: floor function: numb er x, f(x) is the great est integ er less than or equal to x. Use this symb x or INT x (on calculator) HUH??
  • 52. 2-7 Step Functions rounding-up function: ceiling function: r xwith the smalle st intege r greate r than or equal to x. Use this symbo l: x  But, how does it work?
  • 53. 2-7 Step Functions discontinuous: the graph cannot be drawn without lifting your pencil off the paper point of discontinuity: the value of x at which you lift your pencil continuous: a graph that has no point of discontinuity
  • 54. 2-7 Examples 1. Evaluate each expression. a. 33.4  β. ΙΝΤ(2π) χ. − 7    δ. 100.4 + 98.3+ 6.4  34 6 -3 205
  • 55. 2-7 Examples 3. How many buses b are needed to transport s students if each bus can hold 44 students and no other means of transportation is used? Think: how many buses are needed to transport 50 students? 50 44 = 1.14 However, we can’t have 1.14 buses, so we must round up! So … b = σ 44    
  • 56. 2-7 Examples 4. Suppose it costs $50 to rent a bus in the above situation. What will it cost to transport 300 students? b = 300 44     b = σ 44     b = 6.82  b = 7 βυσεσ 7 * $50 per bus = $350