B. Construct a 95% confidence interval of the mean pulse rate for adult males Pulse Rates (beats per minute)MalesFemales86718085726291825074607257696675525557845967849151598186748283895072889165635592746333705895688866588483786775778257807465556657686763103956976724284587884616175 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.E 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(Round to one decimal place as needed.)bpm <µ<

Given, Males Females 86 71 80 85 72 62 91 82 50 74 60 72 57 69 66 75 52 55…

Answered: Construct a 95% confidence interval of…

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

Pulse Rates (beats per minute)
Males
Females
86
71
80
85
72
62
91
82
50
74
60
72
57
69
66
75
52
55
57
84
59
67
84
91
51
59
81
86
74
82
83
89
50
72
88
91
65
63
55
92
74
63
33
70
58
95
68
88
66
58
84
83
78
67
75
77
82
57
80
74
65
55
66
57
68
67
63
103
95
69
76
72
42
84
58
78
84
61
61
75

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.
E 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
(Round to one decimal place as needed.)
bpm <µ<

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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