Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
9th Edition
ISBN: 9781319013387
Author: David S. Moore, George P. McCabe, Bruce A. Craig
Publisher: W. H. Freeman
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Chapter 5, Problem 84E
To determine

To find: The probability that sample mean x¯ is greater than 85.

Expert Solution & Answer
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Answer to Problem 84E

Solution: The probability is 0.00017.

Explanation of Solution

Calculation: The sampling distribution of sample mean x¯ is distributed normally with mean μx¯=μ and standard deviation σx¯=σ/n, where a random sample is drawn from a population with μ and σ, and the sample size is relatively large.

The value of the mean and the standard deviation of the sampling distribution is calculated as:

μx¯=μ=80.63

And value of σx¯ for the sampling distribution of x¯ can be calculated as:

σx¯=σn=27.32500=1.2218

The sampling distribution of x¯ is approximately normal with mean μx¯=80.63 and standard deviation σx¯=1.2218.

The probability that x¯ is greater than 85 is the area to the right of the point 85 under the normal curve. To find the area under the normal curve, first, convert the value of sample mean x¯=85 to a Z-score, and then obtain the area by subtracting the area left to the Z-score from 1. The Z-score for the value 85 is calculated as:

Z=x¯μx¯σx¯=8580.631.2218=3.58

The area left to the particular Z-score can be obtained using Excel. The following procedure is carried out in Excel:

Step 1: Open the Excel spreadsheet.

Step 2: Type =NORM.DIST() in one of the cells and specify x=3.58, Mean = 0, standard deviation = 1, and cumulative as TRUE. The screenshot is shown below:

Introduction to the Practice of Statistics, Chapter 5, Problem 84E

The area under the standard normal curve to the left of Z=3.58 is obtained as 0.99938 from Excel. Therefore, the required probability is calculated as:

10.99983=0.00017

Hence, the probability that x¯ is greater than 85 is 0.00017.

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Chapter 5 Solutions

Introduction to the Practice of Statistics

Ch. 5.1 - Prob. 11ECh. 5.1 - Prob. 12ECh. 5.1 - Prob. 13ECh. 5.1 - Prob. 14ECh. 5.1 - Prob. 15ECh. 5.1 - Prob. 16ECh. 5.2 - Prob. 17UYKCh. 5.2 - Prob. 18UYKCh. 5.2 - Prob. 19UYKCh. 5.2 - Prob. 20UYKCh. 5.2 - Prob. 21UYKCh. 5.2 - Prob. 22UYKCh. 5.2 - Prob. 23UYKCh. 5.2 - Prob. 24UYKCh. 5.2 - Prob. 25ECh. 5.2 - Prob. 26ECh. 5.2 - Prob. 27ECh. 5.2 - Prob. 28ECh. 5.2 - Prob. 29ECh. 5.2 - Prob. 30ECh. 5.2 - Prob. 31ECh. 5.2 - Prob. 32ECh. 5.2 - Prob. 33ECh. 5.2 - Prob. 34ECh. 5.2 - Prob. 35ECh. 5.2 - Prob. 36ECh. 5.2 - Prob. 37ECh. 5.2 - Prob. 38ECh. 5.2 - Prob. 39ECh. 5.2 - Prob. 40ECh. 5.2 - Prob. 41ECh. 5.2 - Prob. 42ECh. 5.3 - Prob. 43UYKCh. 5.3 - Prob. 44UYKCh. 5.3 - Prob. 45UYKCh. 5.3 - Prob. 46UYKCh. 5.3 - Prob. 47UYKCh. 5.3 - Prob. 48UYKCh. 5.3 - Prob. 49UYKCh. 5.3 - Prob. 50UYKCh. 5.3 - Prob. 51UYKCh. 5.3 - Prob. 52UYKCh. 5.3 - Prob. 53UYKCh. 5.3 - Prob. 54UYKCh. 5.3 - Prob. 55UYKCh. 5.3 - Prob. 56UYKCh. 5.3 - Prob. 57ECh. 5.3 - Prob. 58ECh. 5.3 - Prob. 59ECh. 5.3 - Prob. 60ECh. 5.3 - Prob. 61ECh. 5.3 - Prob. 62ECh. 5.3 - Prob. 63ECh. 5.3 - Prob. 64ECh. 5.3 - Prob. 65ECh. 5.3 - Prob. 66ECh. 5.3 - Prob. 67ECh. 5.3 - Prob. 68ECh. 5.3 - Prob. 69ECh. 5.3 - Prob. 70ECh. 5.3 - Prob. 71ECh. 5.3 - Prob. 72ECh. 5.3 - Prob. 73ECh. 5.3 - Prob. 74ECh. 5.3 - Prob. 75ECh. 5.3 - Prob. 76ECh. 5.3 - Prob. 77ECh. 5.3 - Prob. 78ECh. 5.3 - Prob. 79ECh. 5.3 - Prob. 80ECh. 5.3 - Prob. 81ECh. 5.3 - Prob. 82ECh. 5.3 - Prob. 83ECh. 5 - Prob. 84ECh. 5 - Prob. 85ECh. 5 - Prob. 86ECh. 5 - Prob. 87ECh. 5 - Prob. 88ECh. 5 - Prob. 89ECh. 5 - Prob. 90ECh. 5 - Prob. 91ECh. 5 - Prob. 92ECh. 5 - Prob. 93ECh. 5 - Prob. 94ECh. 5 - Prob. 95ECh. 5 - Prob. 96ECh. 5 - Prob. 97ECh. 5 - Prob. 98ECh. 5 - Prob. 99ECh. 5 - Prob. 100ECh. 5 - Prob. 101ECh. 5 - Prob. 102E
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