Refer to the accompanying data set and construct a 90%confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the resultsPulse Rates (beats per minute) Males Female83728182 76629184 51735770 60726376 52535588 59678192 52568186 78828989 55758992 62635495 73653665 58946589 66568384 76677578 81577572 65596659 686767102 96728076 43875777 86596574 Construct a 90% confidence interval of the mean pulse rate for adult females.enter your response herebpm<μ<enter your response herebpm(Round to one decimal place as needed.) Construct a 90% confidence interval of the mean pulse rate for adult males.enter your response herebpm<μ<enter your response herebpm(Round to one decimal place as needed.)

Solution: Given information: n =40 Sample size of male m= 40 sample size of female

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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Refer to the accompanying data set and construct a 90%confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the results

Pulse Rates (beats per minute)


Males		Female
83	72	81	82
76	62	91	84
51	73	57	70
60	72	63	76
52	53	55	88
59	67	81	92
52	56	81	86
78	82	89	89
55	75	89	92
62	63	54	95
73	65	36	65
58	94	65	89
66	56	83	84
76	67	75	78
81	57	75	72
65	59	66	59
68	67	67	102
96	72	80	76
43	87	57	77
86	59	65	74

Construct a 90% confidence interval of the mean pulse rate for adult females.

enter your response here

bpm<μ<enter your response here

bpm

(Round to one decimal place as needed.)

Construct a 90% confidence interval of the mean pulse rate for adult males.

enter your response here

bpm<μ<enter your response here

bpm

(Round to one decimal place as needed.)

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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