A variable of a population has a mean of µ = 82 and a standard deviation of G = 18. a. Identify the sampling distribution of the sample mean for samples of size 36. b. In answering part (a), what assumptions did you make about the distribution of the variable? c. Can you answer part (a) if the sample size is 16 instead of 36? Why or why not? a. What is the shape of the sampling distribution? O uniform O bimodal normal O skewed What is the mean of the sampling distribution? H; = 82 (Simplify your answer.) What is the standard deviation of the sampling distribution? 6: = 2 (Simplify your answer.)

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According to one study, brain weights of men are normally distributed with a mean of 1.60 kg and a standard deviation of 0.13 kg. Use the data to answer
parts (a) through (e).
Click here to view page 1 of the table of areas under the standard normal curve.
Click here to view page 2 of the table of areas under the standard normal curve.
n = 12
n = 3
Роp
Рop
1.6
1.6
1.6
1.6
d. Determine the percentage of all samples of three men that have mean brain weights within 0.1 kg of the population mean brain weight of 1.60 kg.
Interpret your answer in terms of sampling error.
85 %
(Round to two decimal places as needed.)
This is the percentage that the sampling error made in estimating
the mean brain weight of all men
by that of
a sample of three men
will be at most 0.1 kg.
e. Repeat part (d) for samples of size 12.
The percentage of all samples of 12 men that have mean brain weights within 0.1 kg of the population mean brain weight of 1.60 kg is 99.61 %.
(Round to two decimal places as needed.)
This is the percentage that the sampling error made in estimating
the mean brain weight of all men
by that of
a sample of 12 men
will be at most 0.1 kg.
Transcribed Image Text:According to one study, brain weights of men are normally distributed with a mean of 1.60 kg and a standard deviation of 0.13 kg. Use the data to answer parts (a) through (e). Click here to view page 1 of the table of areas under the standard normal curve. Click here to view page 2 of the table of areas under the standard normal curve. n = 12 n = 3 Роp Рop 1.6 1.6 1.6 1.6 d. Determine the percentage of all samples of three men that have mean brain weights within 0.1 kg of the population mean brain weight of 1.60 kg. Interpret your answer in terms of sampling error. 85 % (Round to two decimal places as needed.) This is the percentage that the sampling error made in estimating the mean brain weight of all men by that of a sample of three men will be at most 0.1 kg. e. Repeat part (d) for samples of size 12. The percentage of all samples of 12 men that have mean brain weights within 0.1 kg of the population mean brain weight of 1.60 kg is 99.61 %. (Round to two decimal places as needed.) This is the percentage that the sampling error made in estimating the mean brain weight of all men by that of a sample of 12 men will be at most 0.1 kg.
A variable of a population has a mean of u = 82 and a standard deviation of o = 18.
a. Identify the sampling distribution of the sample mean for samples of size 36.
b. In answering part (a), what assumptions did you make about the distribution of the variable?
c. Can you answer part (a) if the sample size is 16 instead of 36? Why or why not?
a. What is the shape of the sampling distribution?
uniform
bimodal
normal
skewed
What is the mean of the sampling distribution?
= 82 (Simplify your answer.)
What is the standard deviation of the sampling distribution?
o; = 2 (Simplify your answer.)
X
Transcribed Image Text:A variable of a population has a mean of u = 82 and a standard deviation of o = 18. a. Identify the sampling distribution of the sample mean for samples of size 36. b. In answering part (a), what assumptions did you make about the distribution of the variable? c. Can you answer part (a) if the sample size is 16 instead of 36? Why or why not? a. What is the shape of the sampling distribution? uniform bimodal normal skewed What is the mean of the sampling distribution? = 82 (Simplify your answer.) What is the standard deviation of the sampling distribution? o; = 2 (Simplify your answer.) X
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