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. Complete A-C in the image below.MalesFemales8378759751556067555765825479768854866358753760636685777780786362686696764259876775836281736971775687649054897889749165926669998860806882587256586697687383775978 Construct a 90% confidence interval of the mean pulse rate for adult females.\[ \_\_\_ \, \text{bpm} < \mu < \_\_\_ \, \text{bpm} \]*(Round to one decimal place as needed.)*Construct a 90% confidence interval of the mean pulse rate for adult males.\[ \_\_\_ \, \text{bpm} < \mu < \_\_\_ \, \text{bpm} \]*(Round to one decimal place as needed.)*Compare the results.- **A.** The confidence intervals overlap, so it appears that there is no significant difference in mean pulse rates between adult females and adult males.- **B.** The confidence intervals do not overlap, so it appears that adult females have a significantly higher mean pulse rate than adult males.- **C.** The confidence intervals do not overlap, so it appears that there is no significant difference in mean pulse rates between adult females and adult males.- **D.** The confidence intervals overlap, so it appears that adult males have a significantly higher mean pulse rate than adult females.

Data for pulse rate of male and female is provided. The confidence interval for mean pulse rate for…

Answered: Construct a 90% 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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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. Complete A-C in the image below.

Males	Females
83	78
75	97
51	55
60	67
55	57
65	82
54	79
76	88
54	86
63	58
75	37
60	63
66	85
77	77
80	78
63	62
68	66
96	76
42	59
87	67
75	83
62	81
73	69
71	77
56	87
64	90
54	89
78	89
74	91
65	92
66	69
99	88
60	80
68	82
58	72
56	58
66	97
68	73
83	77
59	78

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

\[ \_\_\_ \, \text{bpm} < \mu < \_\_\_ \, \text{bpm} \]

*(Round to one decimal place as needed.)*

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

\[ \_\_\_ \, \text{bpm} < \mu < \_\_\_ \, \text{bpm} \]

*(Round to one decimal place as needed.)*

Compare the results.

- **A.** The confidence intervals overlap, so it appears that there is no significant difference in mean pulse rates between adult females and adult males.
- **B.** The confidence intervals do not overlap, so it appears that adult females have a significantly higher mean pulse rate than adult males.
- **C.** The confidence intervals do not overlap, so it appears that there is no significant difference in mean pulse rates between adult females and adult males.
- **D.** The confidence intervals overlap, so it appears that adult males have a significantly higher mean pulse rate than adult females.

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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