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A health psychologist tests a new intervention to determine if it can change healthy behaviors among children. To conduct the test, the researcher gives one group of children an intervention, and a second group is given a control task without the intervention. The number of healthy behaviors observed in the children during a 5-minute observation are given in the table. Use the following data to answer the questions.}   2.1 Calculate the difference scores. Use D = Yes - No. List the difference scores. (for example, x, x, -x, etc.) (whole numbers) ____________ Calculate the mean of the differe

A health psychologist tests a new intervention to determine if it can change healthy behaviors among children. To conduct the test, the researcher gives one group of children an intervention, and a second group is given a control task without the intervention. The number of healthy behaviors observed in the children during a 5-minute observation are given in the table. Use the following data to answer the questions.}   2.1 Calculate the difference scores. Use D = Yes - No. List the difference scores. (for example, x, x, -x, etc.) (whole numbers) ____________ Calculate the mean of the differe

MATLAB: An Introduction with Applications
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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  1. A health psychologist tests a new intervention to determine if it can change healthy behaviors among children. To conduct the test, the researcher gives one group of children an intervention, and a second group is given a control task without the intervention. The number of healthy behaviors observed in the children during a 5-minute observation are given in the table. Use the following data to answer the questions.}

 

2.1

Calculate the difference scores. Use D = Yes - No. List the difference scores. (for example, x, x, -x, etc.) (whole numbers)

____________

Calculate the mean of the difference scores. (whole number) MD​ =  

____________

2.2

Calculate the difference scores. Use D = Yes - No. List the difference scores. (for example, x, x, -x, etc.) (whole numbers)

__________
Calculate the mean of the difference scores. (whole number) MD =
_____________
 
2.2 

Calculate the variance of the difference scores. (1 decimal place)

s2​D =

Calculate the standard deviation of the difference scores. (2 decimal places) sD =
 
2.3 
Calculate the sampling distribution standard error. (2 decimal places; no zero in front)
sM = 
 
### Intervention Data Table This table represents data collected from an intervention study. The information is divided into two main categories: "Yes" and "No". These categories likely represent answers to whether participants received a specific intervention. The numbers in the table indicate measurements or scores associated with each category. #### Table Breakdown: - **Yes** Column: - Row 1: 7 - Row 2: 4 - Row 3: 7 - Row 4: 7 - Row 5: 7 - Row 6: 6 - **No** Column: - Row 1: 5 - Row 2: 6 - Row 3: 5 - Row 4: 6 - Row 5: 5 - Row 6: 5 This data might be used to analyze the effect of the intervention by comparing the scores in the "Yes" and "No" categories. For instance, scores under "Yes" are generally higher than those under "No", which may suggest a positive impact of the intervention.
Transcribed Image Text:### Intervention Data Table This table represents data collected from an intervention study. The information is divided into two main categories: "Yes" and "No". These categories likely represent answers to whether participants received a specific intervention. The numbers in the table indicate measurements or scores associated with each category. #### Table Breakdown: - **Yes** Column: - Row 1: 7 - Row 2: 4 - Row 3: 7 - Row 4: 7 - Row 5: 7 - Row 6: 6 - **No** Column: - Row 1: 5 - Row 2: 6 - Row 3: 5 - Row 4: 6 - Row 5: 5 - Row 6: 5 This data might be used to analyze the effect of the intervention by comparing the scores in the "Yes" and "No" categories. For instance, scores under "Yes" are generally higher than those under "No", which may suggest a positive impact of the intervention.
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