1. Researchers Busseri, Choma, and Sadava (2009) asked a sample of individuals who scored as optimists on a measure of life orientation about past, present, and projected future satisfaction with their lives. Higher scores on the life-satisfaction measure indicate higher satisfaction. Do optimists see a rosy future ahead?
Person | Past | Present | Future |
1 | 22 | 25 | 24 |
2 | 23 | 26 | 27 |
3 | 25 | 27 | 26 |
4 | 24 | 28 | 28 |
5 | 26 | 29 | 29 |
Conduct all 6 steps of hypothesis testing (present results in a source table) as well as post hoc tests and a measure of effect size. If appropriate, conduct Tukey tests. Calculate the R2 . To get you started, I’ve included the following values in the source table
Source | SS | df | MS | F |
Between Subjects Within Total | 62.926 | 14 |
Given data
person | Past | Present | Future |
1 | 22 | 25 | 24 |
2 | 23 | 26 | 27 |
3 | 25 | 27 | 26 |
4 | 24 | 28 | 28 |
5 | 26 | 29 | 29 |
mean of past group
mean of present group
mean of future group
Overall mean of the sampler
number of samples in the individual group group =
Total number of sample (m)=15
No of group (n)=3
Step 1
Means are not equal
SS between =
NOW WITHEN PROPERTY
Step 3 calculate test statistic
test stastistic
step 4 From the table of distribution of probablity we we have to calculate F critical now
so F criticle with respect to degree of freedon (2,12)
step 5 creating the table
SOURCE | SS | df | MS | F | |
Between | 28.2 | 2 | 14.1 | 2.68 | 3.89 |
within | 63 | 12 | 5.25 |
Step 6 conclusion :
Since we found that so we dont have enough evidence to reject the null hypothesis
Step 1
Means are not equal
Step 2
F Statistic we have calculated =2.685
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