Construct a 95% confidence interval of the mean pulse rate for adult females. Construct a 95% confidence interval for adult males Refer to the accompanying data set and construct a 95% confidence interval estimate of the mean pulse rate of adult females;then do the same for adult males. Compare the results.Click the icon to view the pulse rates for adult females and adult males.Construct a 95% confidence interval of the mean pulse rate for adult females.bpm < µ Pulse Rates (beats per minute)MalesFemales86738285746394815271606959706572515255846167819149567588768086905372899063665796736437686199679365598583796777818256787265586356676967101976979734386617885616379

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Answered: Refer to the accompanying data set and…

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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Construct a 95% confidence interval of the mean pulse rate for adult females. Construct a 95% confidence interval for adult males

Refer to the accompanying data set and construct a 95% confidence interval estimate of the mean pulse rate of adult females;
then do the same for adult males. Compare the results.
Click the icon to view the pulse rates for adult females and adult males.
Construct a 95% confidence interval of the mean pulse rate for adult females.
bpm < µ<bpm
(Round to one decimal place as needed.)

Pulse Rates (beats per minute)
Males
Females
86
73
82
85
74
63
94
81
52
71
60
69
59
70
65
72
51
52
55
84
61
67
81
91
49
56
75
88
76
80
86
90
53
72
89
90
63
66
57
96
73
64
37
68
61
99
67
93
65
59
85
83
79
67
77
81
82
56
78
72
65
58
63
56
67
69
67
101
97
69
79
73
43
86
61
78
85
61
63
79

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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