In: Statistics and Probability
(12pts) An experiment was conducted to examine the effect of age on heart rate when a person is subjected to a specific amount of exercise. Ten male subjects were randomly selected from four age groups: 10-19, 20-39, 40-59, and 60-69. Each subject walked on a treadmill at a fixed grade for a period of 12 minutes, and the increase in heart rate, the difference before and after exercise, was recorded (in beats per minute). Answer the questions based on the printout.
N |
Mean |
Std. Deviation |
||
10-19 |
10 |
30.9000 |
5.19508 |
|
20-39 |
10 |
27.5000 |
4.88194 |
|
40-59 |
10 |
29.5000 |
4.69633 |
|
60-69 |
10 |
28.2000 |
5.57375 |
|
Total |
40 |
29.0250 |
5.07122 |
ANOVA |
|||||
Increase in heart rate (in beats per minute) |
|||||
Sum of Squares |
Df |
Mean Square |
F |
Sig. |
|
Between Groups |
67.475 |
3 |
22.492 |
.866 |
.468 |
Within Groups |
935.500 |
36 |
25.986 |
||
Total |
1002.975 |
39 |
(2pts) Write the null and alternative hypotheses for this test.
(2pts) Give the test statistic and P-value for this problem.
(4pts) Write your conclusions for this test in terms of the story.
(4pts) The output for the Bonferroni Multiple Comparisons procedure is given below. If it is appropriate to use that at this point, explain why and give the conclusions to the procedure. If it is not appropriate to use Bonferroni at this point, explain why not.
|
||||||
Dependent Variable: Increase in heart rate (in beats per minute) |
||||||
Bonferroni |
||||||
(I) AgeGroup |
(J) AgeGroup |
Mean Difference (I-J) |
Std. Error |
Sig. |
95% Confidence Interval |
|
Lower Bound |
Upper Bound |
|||||
10-19 |
20-39 |
3.40000 |
2.27974 |
.867 |
-2.9650 |
9.7650 |
40-59 |
1.40000 |
2.27974 |
1.000 |
-4.9650 |
7.7650 |
|
60-69 |
2.70000 |
2.27974 |
1.000 |
-3.6650 |
9.0650 |
|
20-39 |
10-19 |
-3.40000 |
2.27974 |
.867 |
-9.7650 |
2.9650 |
40-59 |
-2.00000 |
2.27974 |
1.000 |
-8.3650 |
4.3650 |
|
60-69 |
-.70000 |
2.27974 |
1.000 |
-7.0650 |
5.6650 |
|
40-59 |
10-19 |
-1.40000 |
2.27974 |
1.000 |
-7.7650 |
4.9650 |
20-39 |
2.00000 |
2.27974 |
1.000 |
-4.3650 |
8.3650 |
|
60-69 |
1.30000 |
2.27974 |
1.000 |
-5.0650 |
7.6650 |
|
60-69 |
10-19 |
-2.70000 |
2.27974 |
1.000 |
-9.0650 |
3.6650 |
20-39 |
.70000 |
2.27974 |
1.000 |
-5.6650 |
7.0650 |
|
40-59 |
-1.30000 |
2.27974 |
1.000 |
-7.6650 |
5.0650 |
(2pts) Write the null and alternative hypotheses for this test.
Ho:All the four age groups mean heart rate was same
Ha:atleast one of the four age groups mean heart rate was different
(2pts) Give the test statistic and P-value for this problem
F(3,36)=0.866
p=0.468
(4pts) Write your conclusions for this test in terms of the story.
p=0.468
p>0.05
Do not reject H0.
Accept Ho.
there is no suffcient statistical evidence at 5% level of signficance to conclude that there is effect of age on heart rate when a person is subjected to a specific amount of exercise.
4pts) The output for the Bonferroni Multiple Comparisons procedure is given below. If it is appropriate to use that at this point, explain why and give the conclusions to the procedure. If it is not appropriate to use Bonferroni at this point, explain why not.
If we conclude that ateast one of the 4 group means are different (by ONE way ANOVA) then only we can go for Bonferroni Multiple Comparisons procedure .
But here in ANOVa we found that there is noeffect of age on heart rate when a person is subjected to a specific amount of exercise.
means all the 4 age group means are equal No need to conduct Bonferroni Multiple Comparisons procedure .
which is also evident from the p values from Bonferroni Multiple Comparisons procedure that
all the 4 age group means are equal as all comapred means p values are greater than 0.05.