Question

A health psychologist hypothesizes that snacking is related to television (tv) viewing. Below are the hours of television and number of snacks for a sample of participants. What can the psychologist conclude with an α of 0.01?

tv	snacks
4 3 3 3 1 5 4 3	7 4 3 0 1 10 8 5

a) What is the appropriate statistic?
---Select--- na Correlation Slope Chi-Square
Compute the statistic selected in a):

b) Obtain/compute the appropriate values to make a decision about H₀.
(Hint: Make sure to write down the null and alternative hypotheses to help solve the problem.)
critical value =  ; test statistic =
Decision:  ---Select--- Reject H0 Fail to reject H0

c) Compute the corresponding effect size(s) and indicate magnitude(s).
If not appropriate, input and/or select "na" below.
effect size =  ;   ---Select--- na trivial effect small effect medium effect large effect

d) Make an interpretation based on the results.

There is a significant positive relationship between television viewing and snacking.There is a significant negative relationship between television viewing and snacking.    There is no significant relationship between television viewing and snacking

Answer 1

ANswer::

A.

ANswer : Correlation

B.

Test static : Sample Correlation coefficient , rs = -0.39

df = 8 - 2 = 6

Critical Value for R = 0.834

Fail to reject the null hypothesis, as absolute value of correlation coefficient is less than critical r value.

C.

Effect size will be correlation coefficient as it measure the strength od the relationship.

Effective Sizei s 0.39 (eff size = r^2/(1 - r^2) )

Small Efffect

d.

There is no significant relationship between television and snacks.