In: Statistics and Probability
****PLEASE HELP WALK ME THROUGH SPSS, I HAVE BEEN STUCK ON THIS PROBLEM FOR DAYS! ****
Relaxation |
Pharmaceutical |
98 |
20 |
117 |
35 |
51 |
130 |
28 |
83 |
65 |
157 |
107 |
138 |
88 |
49 |
90 |
142 |
105 |
157 |
73 |
39 |
44 |
46 |
53 |
194 |
20 |
94 |
50 |
95 |
92 |
161 |
112 |
154 |
71 |
75 |
96 |
57 |
86 |
34 |
92 |
118 |
75 |
41 |
41 |
145 |
102 |
148 |
24 |
117 |
96 |
177 |
108 |
119 |
102 |
186 |
35 |
22 |
46 |
61 |
74 |
75 |
Enter the data into SPSS.
Now, go to Variable View at the bottom next to the Data View option and name the variables.
Also, name the groups by going to Values under Groups option.
Now, let's perform the test. Go to Data View > Analyze > Compare Means > Independent-Samples T Test.
Select the groups.
Go to Define Groups to define the groups.
Click Continue and OK.
The output is:
The hypothesis being tested is:
H0: µ1 = µ2
H1: µ1 < µ2
The test statistic, t = -2.482
The p-value is 0.017/2 = 0.0085.
We divide the p-value by 2 because SPSS always generates the two-tailed value while we need the one-tail value for this problem.
Also, the p-value < 0.05 for the F-test, we would look at the output from Equal variance not assumed column.
Since the p-value (0.0085) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we can conclude that the relaxation treatment is more effective than the pharmaceutical treatment.
Please give me a thumbs-up if this helps you out. Thank you!