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: 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 "na".
effect size = na trivial effect small effect
medium effect large effect
Correlations | |||
labor_pain | infant_bonding | ||
labor_pain | Pearson Correlation | 1 | .739** |
Sig. (1-tailed) | .005 | ||
N | 11 | 11 | |
infant_bonding | Pearson Correlation | .739** | 1 |
Sig. (1-tailed) | .005 | ||
N | 11 | 11 |
Get Answers For Free
Most questions answered within 1 hours.