Use the pulse rates in beats per minute (bpm) of a random sample of adult females listed in the data set available below to test the claim that the mean is less 64 than bpm. Use a 0.01 significance level.Pulse Rate (bpm) 4551 4335 3575 7739 4052 8993 7737 10341 5141 9154 7781 4673 3665 5940 9189 6364 58100 7156 8446 3792 4766 6756 4939 9943 8948 Determine the test statistic.

Name: Use the pulse rates in beats per minute (bpm) of a random sample of a
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Description: Use the pulse rates in beats per minute (bpm) of a random sample of adult females listed in the data set available below to test the claim that the mean is less 64 than bpm. Use a 0.01 significance level.Pulse Rate (bpm) 4551 4335 3575 7739 4052 89

From the provided information, Sample size (n) = 50 Level of significance (α) = 0.01

Answered: Use the pulse rates in beats per…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Problem 1P

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Use the pulse rates in beats per minute (bpm) of a random sample of adult females listed in the data set available below to test the claim that the mean is less 64 than bpm. Use a 0.01 significance level.

Pulse Rate (bpm)
45	51
43	35
35	75
77	39
40	52
89	93
77	37
103	41
51	41
91	54
77	81
46	73
36	65
59	40
91	89
63	64
58	100
71	56
84	46
37	92
47	66
67	56
49	39
99	43
89	48

Determine the test statistic.

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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