In: Statistics and Probability
A researcher wants to evaluate the pain relief effectiveness of a new medication for chronic pain sufferers. Using a pain scale from 0 to 10 (where 0 = no pain at all, and 10 = the most pain you can imagine), she compares the pain level for a sample of n1 = 4 people who received the new medication, with the pain level for a sample of n2 = 4 people who received a placebo. The data are as follows:
Medication | Placebo | |
4 | 9 | |
7 | 9 | |
7 | 6 | |
6 | 9 | |
(a) Identify the Independent Variable (IV):
Pain level
People taking placebo
People taking medication
Medication type
(b) Identify the Dependent Variable (DV):
Pain level
People taking placebo
People taking medication
Medication type
(c) What is the null hypothesis (H0) for a two-tailed test?
μ1 - μ2 ≥ 0
μ1 - μ2 ≤ 0
μ1 - μ2 = 0
μ1 - μ2 ≠ 0
(d) What is the alternative hypothesis (H1) for a two-tailed test?
μ1 - μ2 > 0
μ1 - μ2 < 0
μ1 - μ2 = 0
μ1 - μ2 ≠ 0
(e) Compute df for an independent t test.
df =
(f) Use the t distribution table in Appendix B to
determine the critical value of t for a two-tailed test at
the 0.05 level of significance. (Use 3 decimal places.)
t-critical = ±
(g) Calculate the Means for each group:
M1 =
M2 =
(h) Calculate the Sum of Squares (SS) for each group: (Use
3 decimal places.)
SS1 =
SS2 =
(i) Calculate the Pooled Variance: (Use 3 decimal places.)
SP2 =
(j) Calculate the Standard Error of the Difference in the Means:
(Use 3 decimal places.)
S(M1-M2) =
(k) Calculate the t statistic: (Use 3 decimal places.)
t =
(l) What decision should be made about the null hypopthesis (Ho)?
Fail to reject the null hypothesis, there is not a significant difference between the placebo and medication groups.
Reject the null hypothesis, there is not a significant difference between the placebo and medication groups.
Reject the null hypothesis, there is a significant difference between the placebo and medication groups.
Fail to reject the null hypothesis, there is a significant difference between the placebo and medication groups.
(m) Calculate the estimated Cohen's d and
r2 to measure effect size for this study. (Use
3 decimal places.)
d =
r2 =
(n) How would the results be presented in the literature?
The participants taking the pain medication reported less pain (M = 6, SD = 1.414) than the participants taking the placebo (M = 8.25, SD = 1.500). This difference was not significant, t(6) = -2.183, p > 0.05.
The participants taking the pain medication reported less pain (M = 6, SD = 1.414) than the participants taking the placebo (M = 8.25, SD = 1.500). This difference was significant, t(7) = -2.183, p < 0.05.
The participants taking the pain medication reported less pain (M = 6, SD = 1.414) than the participants taking the placebo (M = 8.25, SD = 1.500). This difference was significant, t(6) = -2.183, p < 0.05.
The participants taking the pain medication reported less pain (M = 6, SD = 1.414) than the participants taking the placebo (M = 8.25, SD = 1.500). This difference was not significant, t(7) = -2.183, p > 0.05.