In: Statistics and Probability
male |
1st Systolic |
1st Diastolic |
2nd Systolic |
2nd Diastolic |
1 |
132 |
74 |
132 |
82 |
2 |
108 |
70 |
108 |
74 |
3 |
124 |
78 |
134 |
78 |
4 |
116 |
42 |
116 |
48 |
5 |
118 |
76 |
116 |
70 |
6 |
128 |
80 |
128 |
80 |
7 |
132 |
90 |
130 |
92 |
8 |
106 |
64 |
110 |
64 |
female |
||||
1 |
168 |
46 |
156 |
52 |
2 |
198 |
82 |
192 |
84 |
3 |
110 |
74 |
110 |
76 |
4 |
170 |
94 |
168 |
100 |
5 |
142 |
58 |
140 |
52 |
6 |
168 |
52 |
172 |
54 |
7 |
90 |
32 |
82 |
0 |
For the above data, test the hypothesis that the first reading and the second reading each are greater than 115 mmHg, with an α of 0.05. (Here, combine men and women into one sample: you should have an N of 15) What test would be most appropriate and why? Is the result significant? State your conclusions.
From above plots we observed that the two sets of data come from normal distribution. Since population variances are unknown so one sample t test is appropriate.
One-Sample T: 1st Systolic, 2nd Systolic
Test of mu = 115 vs > 115
95% Lower
Variable N Mean StDev SE Mean Bound T P
1st Systolic 15 134.00 29.84 7.70 120.43 2.47 0.014
2nd Systolic 15 132.93 28.91 7.47 119.78 2.40 0.015
Since p-values for both readings are less than 0.05 so the results are significant and there is sufficient evidence to conclude that the first reading and the second reading each are significantly greater than 115 mmHg.