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1. A nutritionist is looking at the connection between hours of TV watched and choice of...

1. A nutritionist is looking at the connection between hours of TV watched and choice of sugary snacks in children identified as at risk for obesity. He asks children to document the number of hours of TV they watch and the number of sugary snacks they eat each day as shown in the first three columns of the following table.

Child

Hours of TV watched (X)

Number of sugary snacks eaten (Y)

A

3

3

B

1

3

C

2

1

D

4

2

E

5

4

a. What type of research design is represented in this study (experimental? Non-experimental? Correlational?). Explain your answer

b. What do you think the independent variable is? What is the scale of measurement?

c. What do you think the dependent variable is? What is the scale of measurement?

d. For hours of TV watched, calculate the mean and standard deviation and Z score for each child

e. For number of sugary snacks eaten, calculate the mean and standard deviation and Z score for each child

f. Comparing the Z scores for each child (on TV and snacks), do you notice any trend in the data? Describe

Math   Statistics-And-Probability   
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Answer #1

(a) Correlational research design is represented in this study because a nutritionist is looking at the connection between hours of TV watched and choice of sugary snacks in children.

(b) The independent variable is the hours of TV watched and the scale of measurement is ratio.

(c) The dependent variable is the Number of sugary snacks eaten and the scale of measurement is interval.

(d)

Hours of TV watched Z-score
3 0
1 -1.26491
2 -0.63246
4 0.632456
5 1.264911
Mean 3
Standard deviation 1.581139

(e)

Number of sugary snacks eaten Z-score
3 0.350823
3 0.350823
1 -1.40329
2 -0.52623
4 1.227881
Mean 2.6
Standard deviation 1.140175

(f) There is a positive relationship between hours of TV watched and choice of sugary snacks.

Please give me a thumbs-up if this helps you out. Thank you!

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