In a number of previous Phase I and II studies of male nonin

In a number of previous Phase I and II studies of male, non-insulin-dependent diabetic (NIDDM) patients conducted by Mylitech Biosystems, Inc., the mean body mass index (BMI) was found to be 28.4. An investigator has 20 male NIDDM patients enrolled in a new study and wants to know if the BMI from this sample is consistent with the previous finding. BMI is computed as the ratio of weight in kilograms to the square of the height in meters. The Excel data file BMI.xlsx shows the BMI for these 20 males. Conduct a hypothesis test at 1% level of significance to answer the question.

Patient_no

Height_cm

Weight_kg

BMI

1

178

101.7

32.1

2

170

97.1

33.6

3

191

114.2

31.3

4

179

101.9

31.8

5

182

93.1

28.1

6

177

108.1

34.5

7

184

85

25.1

8

182

89.1

26.9

9

179

95.8

29.9

10

183

97.8

29.2

11

172

77.5

26.2

12

183

102.8

30.7

13

169

81.1

28.4

14

177

102.1

32.6

15

180

112.1

34.6

16

184

89.7

26.5

17

176

86.5

27.90

18

187

101.2

28.90

19

175

99.6

32.50

20

193

104.2

27.90

I know to use a t-test on this. What would be the correct parameters, null, and alternative hypotheses? Also, what would be the steps in finding the p-value after I\'ve found the test statistic to be 2.409?

Patient_no	Height_cm	Weight_kg	BMI
1	178	101.7	32.1
2	170	97.1	33.6
3	191	114.2	31.3
4	179	101.9	31.8
5	182	93.1	28.1
6	177	108.1	34.5
7	184	85	25.1
8	182	89.1	26.9
9	179	95.8	29.9
10	183	97.8	29.2
11	172	77.5	26.2
12	183	102.8	30.7
13	169	81.1	28.4
14	177	102.1	32.6
15	180	112.1	34.6
16	184	89.7	26.5
17	176	86.5	27.90
18	187	101.2	28.90
19	175	99.6	32.50
20	193	104.2	27.90

Solution