SlideShare a Scribd company logo
L.O: students will review how to
conduct controlled experiments.
                               Do now:
                              read your
                                “cheat
                                sheet”
How to design a
  controlled
 experiment:
Diet pill commercials use “before and
after” shots as a side by side comparison to
      show that the pills REALLY work!
                      When they ask if
                         you want to
                          “supersize
                       it”, say NO!!!!




             before                      After!
Scientists conduct controlled experiments
   as side by side comparisons too!!!!!!
A controlled experiment ALWAYS has at
least TWO groups: an experimental group
           and a control group.
BOTH groups are IDENTICAL GROUPS…but

• only the                                   (
             ).
• The
             .
• Sometimes the control group is given a placebo (a
  fake drug or a sugar pill)
Control group is identical to
 Experimental group gets     experimental group but DOES
the drug or the treatment.       NOT get the drug or
                                      treatment!
The two groups are compared to see IF
the drug or treatment REALLY works!!!!!!
a good experiment must have a large
number of test subjects, be repeatable &
     take place for a long time!!!!!!
Characteristics of a good experiment:
1. Has both an experimental group and a control
   group.
2. Has many many test subjects.
3. Is repeated many many times.
4. The experiment lasts for long time (weeks,
   months, years…)
An old saying says: “A picture is
 worth a thousand words”….
Scientists use graphs and tables
            because they make complicated
              data, easier to understand.
Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
You MUST be able to read a table and
                   a graph!

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
You MUST be able to draw a graph
               from a data table!

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
In many experiments are looking for
         cause and effect relationships….

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
IF one thing CAUSES something ELSE.

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
Experiments have independent
         variables and dependent variables:

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
independent variables are the cause.

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
dependent variables are the effect.

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
experiments are designed to see IF the
       independent variables causes the
         dependent variable to happen.
Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
in data tables: the independent variable is
             ALWAYS the first column

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
in graphs: the independent variable is
               ALWAYS the X-axis

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
in graphs: the dependent variable is
                   ALWAYS Y-axis.

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
you must be able to draw conclusions
           from tables and graphs.

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
Now answer 1-20.
The scientific
  method:
The scientific
  method:
The scientific method is a method of
     designing an experiment.
A well-designed experiment has the
                   following:
• A            : written as a question.
           :
• A            : (a possible answer to the problem):
                                           (NOT as a question).
                                         (          ),
                            (          )
            : what will be done to prove or disprove the hypothesis.
                : the collected data.
                     : used to display and help interpret the results.
               was the experiment           , did the results support
 or refute the hypothesis?
A valid experiment is one where the
 data and conclusions support the
            hypothesis.
   The hypothesis was valid (correct)!
Now answer 21- 49
You MUST know how to draw line graphs.
There WILLLLLLLLLL definnnnnntellllly be
        one on the regents!!!!
How to draw a line graph, using data from
                     a table:

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
1. Label the X-axis (ALWAYS the
      independent variable) label the Y-axis
        (ALWAYS the dependent variable)
Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
2. Make an appropriate scale number line for the X-axis. the units
    MUST be EVENLY spread out! (0,1,2,3,4 …or 0, 2,4,6,8…or
    0,5, 10, 15…. Or 0, 10,20,30…or 0.0,0.5,1.0, 1.5, 2.0, 2.5….)


Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
3. Make an appropriate scale number line for the Y-axis. the units
MUST be EVENLY spread out! (0,1,2,3,4 …or 0, 2,4,6,8…or 0,5, 10,
       15…. Or 0, 10,20,30…or 0.0,0.5,1.0, 1.5, 2.0, 2.5….)


Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
4. Accurately plot the points.

Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
5. connect the points. Surround
          each point with a small
         circle, square or triangle.
Elapsed Time (s)   Speed Ms−1)

0                   0
1                   3
2                   7
3                   12
4                   20
5                   30
6                   45
Now answer 50- 82.
You probably WON’T have to draw a
bar graph BUT you must know how to
           read them!!!!
Example: predict how much this
country’s population will grow in 2003.
Now answer 83- 108
Now: complete all the unfinished
         questions!
                              Make me
                               proud!

More Related Content

PDF
02 basics i-handout
PDF
Flip bifurcation and chaos control in discrete-time Prey-predator model
PDF
Simple Comparison of Convergence of GeneralIterations and Effect of Variation...
PDF
PMED Transition Workshop - Non-parametric Techniques for Estimating Tumor Het...
PDF
Stochastic Hydrology Lecture 1: Introduction
PPT
Chap8
PDF
Lecture 2: Stochastic Hydrology
02 basics i-handout
Flip bifurcation and chaos control in discrete-time Prey-predator model
Simple Comparison of Convergence of GeneralIterations and Effect of Variation...
PMED Transition Workshop - Non-parametric Techniques for Estimating Tumor Het...
Stochastic Hydrology Lecture 1: Introduction
Chap8
Lecture 2: Stochastic Hydrology

What's hot (14)

PDF
Math 497#w14
PDF
Model Selection with Piecewise Regular Gauges
PDF
Approximate Solution of a Linear Descriptor Dynamic Control System via a non-...
PPTX
Graphs in physics
PDF
Low Complexity Regularization of Inverse Problems - Course #2 Recovery Guaran...
PDF
PROBABILITY DISTRIBUTION OF SUM OF TWO CONTINUOUS VARIABLES AND CONVOLUTION
PDF
Linear Non-Gaussian Structural Equation Models
PDF
Cookbook en
PDF
DISCRETIZATION OF A MATHEMATICAL MODEL FOR TUMOR-IMMUNE SYSTEM INTERACTION WI...
PDF
NODDEA2012_VANKOVA
PDF
Lecture 3: Stochastic Hydrology
PDF
Periodic Solutions for Nonlinear Systems of Integro-Differential Equations of...
DOCX
University of duhok
PDF
Shannon’s Information Measures and Markov Structures
Math 497#w14
Model Selection with Piecewise Regular Gauges
Approximate Solution of a Linear Descriptor Dynamic Control System via a non-...
Graphs in physics
Low Complexity Regularization of Inverse Problems - Course #2 Recovery Guaran...
PROBABILITY DISTRIBUTION OF SUM OF TWO CONTINUOUS VARIABLES AND CONVOLUTION
Linear Non-Gaussian Structural Equation Models
Cookbook en
DISCRETIZATION OF A MATHEMATICAL MODEL FOR TUMOR-IMMUNE SYSTEM INTERACTION WI...
NODDEA2012_VANKOVA
Lecture 3: Stochastic Hydrology
Periodic Solutions for Nonlinear Systems of Integro-Differential Equations of...
University of duhok
Shannon’s Information Measures and Markov Structures
Ad

Similar to Chpt8 how to do an experiment (12)

PPTX
Interpolation and Extrapolation
PPTX
ERF Training Workshop Panel Data 3
PPT
Ch6 slides
PPTX
Computational mathematic
DOCX
From the Front LinesOur robotic equipment and its maintenanc.docx
PPT
efficiency.ppt
PPTX
Clasification approaches
PPTX
manova.short.1.pptxfcghfhfhfhfhtjjgjggygygygy
PPTX
Time series data mining techniques
DOCX
Informe experimentos # 2
PPT
The two sample t-test
Interpolation and Extrapolation
ERF Training Workshop Panel Data 3
Ch6 slides
Computational mathematic
From the Front LinesOur robotic equipment and its maintenanc.docx
efficiency.ppt
Clasification approaches
manova.short.1.pptxfcghfhfhfhfhtjjgjggygygygy
Time series data mining techniques
Informe experimentos # 2
The two sample t-test
Ad

More from Lexume1 (20)

PPTX
Lesson flow charts 2
PPTX
Lesson flow charts 1
PPTX
Ap exam big idea 7 global impact
PPTX
Lesson pseudocode
PPTX
Ap exam big idea 6 the internet
PPTX
Ap exam big idea 5 programming
PPTX
Ap exam big idea 4 algorithms
PPTX
Ap exam big idea 3 data and information
PPTX
Ap exam big idea 2 abstraction
PPTX
Lesson4.4 u4 l1 using hex
PPTX
Lesson4.3 u4 l1 hexadecimal representation
PPTX
Lesson4.2 u4 l1 binary squences
PPTX
Lesson4.1 u4 l1 binary representation
PPTX
Lesson4.0 unit 4 the internet and global impact
PPTX
Lesson4.9 d u4l3 hierarchy of open protocols
PPTX
Lesson4.9 c u4l3 tcp (transmission control protocol)
PPTX
Lesson4.9 b u4l3 ip addresses
PPTX
Lesson4.9 a u4l2 html
PPTX
Lesson4.8 u4 l2 address hierarchy
PPTX
Lesson4.7 u4 l2 network redundancy
Lesson flow charts 2
Lesson flow charts 1
Ap exam big idea 7 global impact
Lesson pseudocode
Ap exam big idea 6 the internet
Ap exam big idea 5 programming
Ap exam big idea 4 algorithms
Ap exam big idea 3 data and information
Ap exam big idea 2 abstraction
Lesson4.4 u4 l1 using hex
Lesson4.3 u4 l1 hexadecimal representation
Lesson4.2 u4 l1 binary squences
Lesson4.1 u4 l1 binary representation
Lesson4.0 unit 4 the internet and global impact
Lesson4.9 d u4l3 hierarchy of open protocols
Lesson4.9 c u4l3 tcp (transmission control protocol)
Lesson4.9 b u4l3 ip addresses
Lesson4.9 a u4l2 html
Lesson4.8 u4 l2 address hierarchy
Lesson4.7 u4 l2 network redundancy

Recently uploaded (20)

PDF
Univ-Connecticut-ChatGPT-Presentaion.pdf
PDF
MIND Revenue Release Quarter 2 2025 Press Release
PPTX
Digital-Transformation-Roadmap-for-Companies.pptx
PDF
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
PPTX
1. Introduction to Computer Programming.pptx
PDF
Zenith AI: Advanced Artificial Intelligence
PDF
Enhancing emotion recognition model for a student engagement use case through...
PDF
Getting Started with Data Integration: FME Form 101
PPTX
cloud_computing_Infrastucture_as_cloud_p
PDF
Heart disease approach using modified random forest and particle swarm optimi...
PDF
Mushroom cultivation and it's methods.pdf
PDF
NewMind AI Weekly Chronicles - August'25-Week II
PDF
Hybrid model detection and classification of lung cancer
PDF
A novel scalable deep ensemble learning framework for big data classification...
PDF
WOOl fibre morphology and structure.pdf for textiles
PDF
Assigned Numbers - 2025 - Bluetooth® Document
PDF
DASA ADMISSION 2024_FirstRound_FirstRank_LastRank.pdf
PDF
1 - Historical Antecedents, Social Consideration.pdf
PDF
Unlocking AI with Model Context Protocol (MCP)
PPTX
TechTalks-8-2019-Service-Management-ITIL-Refresh-ITIL-4-Framework-Supports-Ou...
Univ-Connecticut-ChatGPT-Presentaion.pdf
MIND Revenue Release Quarter 2 2025 Press Release
Digital-Transformation-Roadmap-for-Companies.pptx
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
1. Introduction to Computer Programming.pptx
Zenith AI: Advanced Artificial Intelligence
Enhancing emotion recognition model for a student engagement use case through...
Getting Started with Data Integration: FME Form 101
cloud_computing_Infrastucture_as_cloud_p
Heart disease approach using modified random forest and particle swarm optimi...
Mushroom cultivation and it's methods.pdf
NewMind AI Weekly Chronicles - August'25-Week II
Hybrid model detection and classification of lung cancer
A novel scalable deep ensemble learning framework for big data classification...
WOOl fibre morphology and structure.pdf for textiles
Assigned Numbers - 2025 - Bluetooth® Document
DASA ADMISSION 2024_FirstRound_FirstRank_LastRank.pdf
1 - Historical Antecedents, Social Consideration.pdf
Unlocking AI with Model Context Protocol (MCP)
TechTalks-8-2019-Service-Management-ITIL-Refresh-ITIL-4-Framework-Supports-Ou...

Chpt8 how to do an experiment

  • 1. L.O: students will review how to conduct controlled experiments. Do now: read your “cheat sheet”
  • 2. How to design a controlled experiment:
  • 3. Diet pill commercials use “before and after” shots as a side by side comparison to show that the pills REALLY work! When they ask if you want to “supersize it”, say NO!!!! before After!
  • 4. Scientists conduct controlled experiments as side by side comparisons too!!!!!!
  • 5. A controlled experiment ALWAYS has at least TWO groups: an experimental group and a control group.
  • 6. BOTH groups are IDENTICAL GROUPS…but • only the ( ). • The . • Sometimes the control group is given a placebo (a fake drug or a sugar pill)
  • 7. Control group is identical to Experimental group gets experimental group but DOES the drug or the treatment. NOT get the drug or treatment!
  • 8. The two groups are compared to see IF the drug or treatment REALLY works!!!!!!
  • 9. a good experiment must have a large number of test subjects, be repeatable & take place for a long time!!!!!!
  • 10. Characteristics of a good experiment: 1. Has both an experimental group and a control group. 2. Has many many test subjects. 3. Is repeated many many times. 4. The experiment lasts for long time (weeks, months, years…)
  • 11. An old saying says: “A picture is worth a thousand words”….
  • 12. Scientists use graphs and tables because they make complicated data, easier to understand. Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 13. You MUST be able to read a table and a graph! Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 14. You MUST be able to draw a graph from a data table! Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 15. In many experiments are looking for cause and effect relationships…. Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 16. IF one thing CAUSES something ELSE. Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 17. Experiments have independent variables and dependent variables: Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 18. independent variables are the cause. Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 19. dependent variables are the effect. Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 20. experiments are designed to see IF the independent variables causes the dependent variable to happen. Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 21. in data tables: the independent variable is ALWAYS the first column Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 22. in graphs: the independent variable is ALWAYS the X-axis Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 23. in graphs: the dependent variable is ALWAYS Y-axis. Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 24. you must be able to draw conclusions from tables and graphs. Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 26. The scientific method:
  • 27. The scientific method: The scientific method is a method of designing an experiment.
  • 28. A well-designed experiment has the following: • A : written as a question. : • A : (a possible answer to the problem): (NOT as a question). ( ), ( ) : what will be done to prove or disprove the hypothesis. : the collected data. : used to display and help interpret the results. was the experiment , did the results support or refute the hypothesis?
  • 29. A valid experiment is one where the data and conclusions support the hypothesis. The hypothesis was valid (correct)!
  • 31. You MUST know how to draw line graphs. There WILLLLLLLLLL definnnnnntellllly be one on the regents!!!!
  • 32. How to draw a line graph, using data from a table: Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 33. 1. Label the X-axis (ALWAYS the independent variable) label the Y-axis (ALWAYS the dependent variable) Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 34. 2. Make an appropriate scale number line for the X-axis. the units MUST be EVENLY spread out! (0,1,2,3,4 …or 0, 2,4,6,8…or 0,5, 10, 15…. Or 0, 10,20,30…or 0.0,0.5,1.0, 1.5, 2.0, 2.5….) Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 35. 3. Make an appropriate scale number line for the Y-axis. the units MUST be EVENLY spread out! (0,1,2,3,4 …or 0, 2,4,6,8…or 0,5, 10, 15…. Or 0, 10,20,30…or 0.0,0.5,1.0, 1.5, 2.0, 2.5….) Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 36. 4. Accurately plot the points. Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 37. 5. connect the points. Surround each point with a small circle, square or triangle. Elapsed Time (s) Speed Ms−1) 0 0 1 3 2 7 3 12 4 20 5 30 6 45
  • 39. You probably WON’T have to draw a bar graph BUT you must know how to read them!!!!
  • 40. Example: predict how much this country’s population will grow in 2003.
  • 42. Now: complete all the unfinished questions! Make me proud!