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MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Importance of Statistics in Scientific Research

Christopher J. MaloneEmail: cmalone@winona.edu

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Hypothesis

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Hypothesis

Force

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Hypothesis

Force

Oops, backwards

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Hypothesis

ForceHigh School Project

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Hypothesis

ForceTheory

High School Project

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Experiment

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Experiment

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Experiment

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Experiment

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Experiment

Forcemass speed

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Experiment

160043604410

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Experiment

43604410

160043604410 *

Slush is most

dangerous

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Experiment

43604410

160043604410 *

Slush is most

dangerousRight?

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Experiment

43604410

160043604410*

15904390 * 4380

2nd Trial

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

The Experiment

43604410

160043604410*

15904390 * 4380

2nd Trial

Yea, but

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExample 1

HollywoodVersion

436044104410*

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Measurements

Thoughts

› Measurement details should be in research plan › What are you going to measure?› How are you going to measure?

› Measurement issues go beyond identification of independent and dependent variables

› Outcomes must be measurablee.g. “I will identify the day the plant wilts” is not

precise; carefully measuring soil moisture over time is much better

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Measurements

Thoughts

› Numerical measurements are generally better than categorical measurements; however, avoid changing data types

CategoricalNow, numerical

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Measurements

Thoughts

› Numerical measurements are generally better than categorical measurements; however, avoid changing data types

CategoricalNow, numerical

› Why? Averages, Standard Deviations, Correlations, etc.

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Measurements

Thoughts

› Average = 3.5

› Correlation = 0.392

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Measurements

Thoughts

› Measurement issues/concerns are often overlooked› The necessity of precision in measurements cannot be

overstated

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Measurements

Thoughts

› Measurement issues/concerns are often overlooked› The necessity of precision in measurements cannot be

overstated

› _

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Replication

Thoughts

› Generally speaking, more is better› May be necessary to balance replication and precision

Replication Precision

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Replication

Thoughts

› Generally speaking, more is better› May be necessary to balance replication and precision

Replication Precision

› Replication allows us to estimate the ‘error’ due to variables that are not under our control (i.e. noise)

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Replication

Thoughts

› Generally speaking, more is better› May be necessary to balance replication and precision

Replication Precision

› Replication allows us to estimate the ‘error’ due to variables that are not under our control (i.e. noise)

› Which in turn allows us to measure and possibly attribute an observed outcome to the variables that areunder our control (i.e. effect)

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Replication

Thoughts

› Generally speaking, more is better› May be necessary to balance replication and precision

Replication Precision

› Replication allows us to estimate the ‘error’ due to variables that are not under our control (i.e. noise)

› Which in turn allows us to measure and possibility attribute an observed outcome to the variables that areunder our control (i.e. effect)

› _

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Summaries and Displays

Thoughts

› Usually inappropriate to display raw data, especially for high school projects

› Bar charts should only be used for tally’s, not for numerical measurements (including averages)

› Bring back the dot plots! › Simple to construct and easy to read› Stack them to compare groups

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Summaries and Displays

Thoughts

› Generally speaking…› Excel is less than optimal for constructing displays› Numerical data require displays for numerical data

› Compute change for paired measurements› % change may be necessary at times› Scatter plots are under utilized

› Your summaries and displays should support your story

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Summaries and Displays

Thoughts

› _

160043604410

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

The Statistical Chapter of your Story

Thoughts

› The following elements will give statistics an opportunityto help tell your story› Good experimental design techniques› The collection of precise and error free

measurements› The use of appropriate statistical methods› Give interpretations meaning and ensure outcomes

are discussed within context

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

The Statistical Chapter of your Story

Thoughts

› Borrow ideas and concepts from others › e. g. Marketing› e. g. What are the important elements of an

effective persuasive speech? › In the end, your story may be different that your

hypothesis. This is OK and is indeed the essence of the scientific method!

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

The Statistical Chapter of your Story

Thoughts

› Borrow ideas and concepts from others › Marketing› What are the important elements of an effective

persuasive speech? › In the end, your story may be different that your

hypothesis. This is the true essence of the scientific method!

› _

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

The Statistical Chapter of your Story

Thoughts

› Borrow ideas and concepts from others › Marketing› What are the important elements of an effective

persuasive speech? › In the end, your story may be different that your

hypothesis. This is the true essence of the scientific method!

› _

› Final score for ?

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Final thought

Thoughts

› The method of science is more stable, and more important to men [and women] of science, than any particular result achieved by its means.

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

Final thought

Thoughts

› “The method of science is more stable, and more important to men [and women] of science, than any particular result achieved by its means.” (Cohen, 1934)

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

› Compliments of Wendy Greenberg, Biology Department, Bemidji State University

› Set-up: 1. Play game 5 times with sound,

then 5 times without sound2. Measurement: Score3. Issues???

Examples

Example #1 (Video Games and Sound)

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & A

› Compliments of Wendy Greenberg, Biology Department Bemidji State University

› Set-up: 1. Play game 5 times with sound,

then 5 times without sound2. Measurement: Score3. Issues???

Note: Student recognized issue of potential improvement due to learning, but his solution was to switch the order!

Examples

Example #1 (Video Games and Sound)

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExamples

Example #2 (Influencing the color of a flower)› My hypothesis: Does colored water change the color of a

flower?

› Set-up: 1. What should I measure?2. The type of flower is irrelevant to me, but I will use a

rose and tulip for my experiment. 3. Do I need a control? Why or why not?4. I have room for 16 planting pots in my lab.

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExamples

Example #2 (Influencing the color of a flower)› Sketching an appropriate randomization plan

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExamples

Example #2 (Influencing the color of a flower)› The Data

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AExamples

Example #2 (Influencing the color of a flower)› The averages

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

Bar chart onnumerical data

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

Statistical inference &

error bars for averages

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

Calculations &

Raw Data

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

Replication needed on Control

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

Bar chart onaverages; Includes

Standard error bars

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

Bar graphs for

paired data and

averages

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

Needs Scatter plot instead of

bar graph withtrend line

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

Scatter plotsand

trend lines

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

< The Good

The Bad >

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

Correlations with statistical tests

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Q & A Session

Table with data and picture of

location of failures

MN State Science and Engineering FairMarch 27, 2010

Thoughts ExamplesExample 1 Q & AQ & A

Thank you!

Chris MaloneWinona State University

Email: cmalone@winona.edu

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