7.11 Suppose that we will randomly select a sample of 64 measurements from a population having is mean equal to 20 and a standard deviation equal to 4. a Describe the shape of the sampling...

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7.11 Suppose that we will randomly select a sample of 64 measurements from a population having is mean equal to 20 and a standard deviation equal to 4. a Describe the shape of the sampling distribution of the sample mean i. Do we need to make any assumptions about the shape of the population? Why or why not? b Find the mean and the standard deviation of the sampling distribution of the sample mean C Calculate the probability that we will obtain a sample mean greater than 21; that is, calculate pa > 21). Hint: Find the z value corresponding to 21 by using and and or because we wish to calculate a probability about Then sketch the sampling distribution and the probability. d Calculate the probability that we will obtain a sample mean less than 19.385; that is, calculate pa



Answered Same DayDec 21, 2021

Answer To: 7.11 Suppose that we will randomly select a sample of 64 measurements from a population having is...

Robert answered on Dec 21 2021
113 Votes
Solution 7.11:
We have n = 64, µ = 20 and σ = 4
a) The shape of the sampling distribution of mea
n, x-bar is bell shaped because sample
size is greater than 30 and we assume it to be normally distributed.
b) Mean = µ = 20
Standard deviation of x-bar = σ/√n = 4/√64 = 0.5
c) The respective Z-score with X-bar = 21 is
Z= (X-bar - µ)/ (σ/√n)
= (21- 20)/0.5
= 2
Using Z-tables, the probability is
P [Z > 2] = 1 – 0.9772
= 0.0228
d) The respective Z-score with X-bar = 19.385 is
Z= (X-bar - µ)/ (σ/√n)
= (19.385 - 20)/0.5
= -1.23
Using Z-tables, the probability is
P [Z < -1.23] = 1 – 0.8907
= 0.1093
Solution 7.30:
a) We have p = 0.30 and n = 1011
The respective Z-score with p =...
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