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Hypothesis
Student’s Name
Institution
STEP 1:
A sample collected is true random when it is not bias to any issue. In order to ensure that the sample is random, various methods can be used to draw the sample from a population and will be using random numbers. This numbers can be selected using sample of n=12 men and n=8 women from the population of men and women and this should be done using random numbers and therefore, this will make sure that the sample obtain is truly random.
STEP 2:
Men
Women
Time
Exercise per week
Favorite
Time
Exercise per week
Favorite
1
0.22
3
Aerobic
1
0.22
3
Aerobic
2
0.22
3
Push up
2
0.2
3
Push up
3
0.2
5
Aerobic
3
0.19
5
Aerobic
4
0.19
4
Aerobic
4
0.18
4
Cardiovascular
5
0.18
4
Cardiovascular
5
0.2
4
Push up
6
0.2
0
N/P
6
0.22
0
N/P
7
0.22
2
Aerobic
7
0.19
5
Aerobic
8
0.26
3
Aerobic
8
0.25
2
Flexibility
9
0.23
3
Cardiovascular
10
0.22
4
Aerobic
11
0.25
0
NP
12
0.2
3
Aerobic
Mean
0.216
2.833333333
5
0.20625
3.25
Std
0.024
1.527525232
2
0.02264
1.669045921
STEP 3:
Mean for men = 2.833mean for Women =0.206
Standard Deviation for men= 1.5275Standard deviation for women = 1.6690
2.) The Median number of days per week exercised
Media for number of days for men = 3 and for women 3.5
3.) The Mode of the favorite exercise
The mode of the favorite exercise for men is Aerobics and for women is Aerobics and Cardiovascular
4.) The 90% confidence interval of the mean
The needed 90% confidence interval of the mean for women = (0.205, 0.252) and for men (0.20, 0.23)
STEP 4:
The two groups are significant differences. The hypothesis tested obtained that alpha is more than 0.05 and therefore, the null hypothesis is rejected. This means that there are significant differences between the two groups.
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