For each of the following questions, report 1) the appropriate statistical test or estimation procedure to use, 2) the null and alternate hypotheses, 3) the test statistic, 4) the P value, 5) whether you accept or reject the null, then 6) a sentence or two about what the results mean. Don’t forget to check assumptions and transform if necessary.
tim_sec |
age |
sex |
BMI |
13615 |
young |
M |
18 |
18784 |
young |
M |
20 |
14256 |
young |
M |
23 |
10905 |
young |
M |
19 |
12077 |
young |
M |
22 |
16401 |
young |
F |
21 |
14216 |
young |
F |
25 |
15402 |
young |
F |
28 |
15326 |
young |
F |
26 |
12047 |
young |
F |
24 |
14677 |
mid |
M |
24 |
16090 |
mid |
M |
26 |
14086 |
mid |
M |
27 |
16461 |
mid |
M |
30 |
20808 |
mid |
M |
32 |
15357 |
mid |
F |
34 |
16771 |
mid |
F |
32 |
15036 |
mid |
F |
28 |
16297 |
mid |
F |
27 |
17636 |
mid |
F |
34 |
14528 |
old |
M |
35 |
17034 |
old |
M |
30 |
14935 |
old |
M |
29 |
14996 |
old |
M |
26 |
22146 |
old |
M |
35 |
17260 |
old |
F |
34 |
25399 |
old |
F |
39 |
18647 |
old |
F |
32 |
15077 |
old |
F |
26 |
25898 |
old |
F |
31 |
1) the appropriate statistical test or estimation procedure to use,
One-Way ANOVA test
2) the null and alternate hypotheses,
Method
Null hypothesis | All means are equal |
Alternative hypothesis | Not all means are equal |
Significance level | α = 0.05 |
3) the test statistic,
16.84
4) the P value,
0.000
5) whether you accept or reject the null, then
Since the p-value (0.0000) is less than the significance level (0.05), we can reject the null hypothesis.
6) a sentence or two about what the results mean.
Therefore, we can conclude that not all means are equal.
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