Question

A physician hypothesizes that more labor pain is related to more infant bonding. The table below contains data for mothers' labor pain (higher score indicates more pain) and the amount of hours spent bonding with their infant after birth. What can the physician conclude with an α of 0.01?

labor pain	infant bonding
8 7 2 4 3 6 5 3 3 5 7	8 5 2 4 5 7 2 1 4 4 6

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

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

c) Using the SPSS results, 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 labor pains and infant bonding.There is a significant negative relationship between labor pains and infant bonding.    There is no significant relationship between labor pains and infant bonding.

Answer 1

r = 0.739

A)The appropriate test statistic is Correlation slope

B)Null Hypothesis , H₀ : The correlation coefficient is not significant (ie)

Alternative Hypothesis , H_a:The correaltion coeffucoeffis significant (ie)

Test statistic is

t = 4.884

p value is 0.0006

Since p value is less than .01 , we reject H₀

c)Effect sizes

d = t/√n = 1.4727

Since d is greater than .8 , this is a large effect

r2 = t²/(t²+df) = 0.7046

Since r2 is greater than .5 , this is a large effect

D)Interpretation

There is a significant positive relationship between labor pains and infant bonding