Refer to the accompanying data set and construct a95%confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the results.LOADING...Click the icon to view the pulse rates for adult females and adult males.Construct a95%confidence interval of the mean pulse rate for adult females. nothingbpm<μ<nothingbpm(Round to one decimal place as needed.)Construct a95%confidence interval of the mean pulse rate for adult males. nothingbpm<μ<nothingbpm(Round to one decimal place as needed.)Compare the results. A.The confidence intervals overlap, so it appears that adult males have a significantly higher mean pulse rate than adult females. B.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. C.The confidence intervals overlap, so it appears that there is no significant difference in mean pulse rates between adult females and adult males. D.The confidence intervals do not overlap, so it appears that adult females have a significantly higher mean pulse rate than adult males. Males Females83 8272 9351 5760 6351 5463 8551 7977 8850 9163 5574 3757 6562 8580 7984 7864 6566 6598 7641 6287 6570 8663 8470 7372 7655 8467 9254 9081 8872 8961 9363 6997 9256 8465 8359 7460 5468 10367 7282 7855 77

a) The 95% confidence interval of the mean pulse rate for adult females is calculated as follows: Procedure for confidence interval of 1 sample t test using TI-83+ calculator: Select STAT>TESTS>1-sample t Int Select Input as Data Select List as L1 And then select C-level as 0.95 and select calculate. Output screen: The 95% confidence interval of the mean pulse rate for adult females is (72.2,81.1). b) The 95% confidence interval of the mean pulse rate for adult males is calculated as follows: CI for One sample t -test Procedure for confidence interval of 1 sample t test using TI-83+ calculator: Select STAT>TESTS>1-sample t Int Select Input as Data Select List as L1 And then select C-level as 95 and select calculate. Output screen: The 95% confidence interval of the mean pulse rate for adult males is (62.7,70.9). c) Comparing the results: B. 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.

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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Question

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.

nothing

bpm<μ<nothing

bpm

(Round to one decimal place as needed.)

Construct a

95%

confidence interval of the mean pulse rate for adult males.

nothing

bpm<μ<nothing

bpm

(Round to one decimal place as needed.)

Compare the results.

The confidence intervals overlap, so it appears that adult males have a significantly higher mean pulse rate than adult females.

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.

The confidence intervals overlap, so it appears that there is no significant difference in mean pulse rates between adult females and adult males.

The confidence intervals do not overlap, so it appears that adult females have a significantly higher mean pulse rate than adult males.

Males Females

83 82

72 93

51 57

60 63

51 54

63 85

51 79

77 88

50 91

63 55

74 37

57 65

62 85

80 79

84 78

64 65

66 65

98 76

41 62

87 65

70 86

63 84

70 73

72 76

55 84

67 92

54 90

81 88

72 89

61 93

63 69

97 92

56 84

65 83

59 74

60 54

68 103

67 72

82 78

55 77

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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