Example#1:A researcher wishes to examine whether time of day (morning versus afternoon) affects the memory of older and younger participants. He obtains a sample of 40 older individuals and 40 younger individuals and gives them a passage to read. They are later given a test over the passage (scores on the test could range from O to 30). HaJf of the individuals are randomly assigned to read the passage and take the test in the morning, and the other half do so in the afternoon. The data are reported in the table below (the numbers represent mean test scores for each group3; that is, "M" is mean). Morning Testing Afternoon Testing M=8 Older Adults M= 15 Younger Adults М- 16 М-20
Example#1:A researcher wishes to examine whether time of day (morning versus afternoon) affects the memory of older and younger participants. He obtains a sample of 40 older individuals and 40 younger individuals and gives them a passage to read. They are later given a test over the passage (scores on the test could range from O to 30). HaJf of the individuals are randomly assigned to read the passage and take the test in the morning, and the other half do so in the afternoon. The data are reported in the table below (the numbers represent mean test scores for each group3; that is, "M" is mean). Morning Testing Afternoon Testing M=8 Older Adults M= 15 Younger Adults М- 16 М-20
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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Question
![Example#1: A researcher wishes to examine whether time of day (morning versus afternoon)
affects the memory of older and younger participants. He obtains a sample of 40 older individuals
and 40 younger individuals and gives them a passage to read. They are later given a test over the
passage (scores on the test could range from O to 30). HaJfof the individuals are randomly
assigned to read the passage and take the test in the morning, and the other half do so in the
afternoon. The data are reported in the table below (the numbers represent mean test scores for
each
group;
that is, "M" is mean).
Morning Testing
Afternoon Testing
Older Adults
M= 15
M=8
Younger Adults
М- 16
М-20
3. Name the dependent variable.
4. What is the scale of measurement for the dependent variable?
5. Does there appear to be a main effect of time of day? (Note: You are not given any
inferential statistics to be able to definitively determine whether there is a main effect.
Examine the means and try to determine if they are different or similar to each other).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F153e7a04-5e97-418e-a56b-c262c9ac626d%2F8bd94319-7850-41f2-98df-59e92ea62773%2Fjzwmka_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Example#1: A researcher wishes to examine whether time of day (morning versus afternoon)
affects the memory of older and younger participants. He obtains a sample of 40 older individuals
and 40 younger individuals and gives them a passage to read. They are later given a test over the
passage (scores on the test could range from O to 30). HaJfof the individuals are randomly
assigned to read the passage and take the test in the morning, and the other half do so in the
afternoon. The data are reported in the table below (the numbers represent mean test scores for
each
group;
that is, "M" is mean).
Morning Testing
Afternoon Testing
Older Adults
M= 15
M=8
Younger Adults
М- 16
М-20
3. Name the dependent variable.
4. What is the scale of measurement for the dependent variable?
5. Does there appear to be a main effect of time of day? (Note: You are not given any
inferential statistics to be able to definitively determine whether there is a main effect.
Examine the means and try to determine if they are different or similar to each other).
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