Please no written by hand solutionsAre there statistical significant difference between measures of different location regarding mean diastolic BP? What do you base your conclusion on? IDBENESS A WNA1011121314MinmaximumMeanSDsitting Systolic BP115110117125126108118120128118116125118118108128118.715.59standing systolic BP lying systolic BP130112125130130106112115122110118140120112106140120.149.431301101181201309811011013811611011011611298138116.2910.05sitting diastolic BP8070759090687880726862907874629076.798.45standing diastolic BP lying diastolic BP8590829590727885756062958472609580.3610.699078757890748075886560657670609076.008.86

By the given data,we haveNull hypothesis H0: μ1= μ2=μ3 =μ4 =μ5 =μ6 Alternative hypothesis Ha: Not…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Are there statistical significant difference between measures of different location regarding mean diastolic BP? What do you base your conclusion on?

ID
BENESS A WNA
10
11
12
13
14
Min
maximum
Mean
SD
sitting Systolic BP
115
110
117
125
126
108
118
120
128
118
116
125
118
118
108
128
118.71
5.59
standing systolic BP lying systolic BP
130
112
125
130
130
106
112
115
122
110
118
140
120
112
106
140
120.14
9.43
130
110
118
120
130
98
110
110
138
116
110
110
116
112
98
138
116.29
10.05
sitting diastolic BP
80
70
75
90
90
68
78
80
72
68
62
90
78
74
62
90
76.79
8.45
standing diastolic BP lying diastolic BP
85
90
82
95
90
72
78
85
75
60
62
95
84
72
60
95
80.36
10.69
90
78
75
78
90
74
80
75
88
65
60
65
76
70
60
90
76.00
8.86

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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