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A simple random sample of size 
n=10 is obtained from a population with 
mu=63 and 
sigma=15.
(a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities involving the sample mean? Assuming that this condition is true, describe the sampling distribution of 
bar(x).
(b) Assuming the normal model can be used, determine 
P(x < 66.4).
(c) Assuming the normal model can be used, determine 
P(x >= 64.2).
(a) What must be true regarding the distribution of the population?
A. The sampling distribution must be assumed to be normal.
B. Since the sample size is large enough, the population distribution doe need to be normal.
C. The population must be normally distributed and the sample size must be large.
D. The population must be normally distributed.
Assuming the normal model can be used, describe the sampling distribution 
bar(x). Choose the correct answer below.
A. Normal, with 
mu_( bar(x))=63 and 
sigma_( bar(x))=15
B. Normal, with 
mu_( bar(x))=63 and 
sigma_( bar(x))=(10)/(sqrt15)
C. Normal, with 
mu_( bar(x))=63 and 
sigma_( bar(x))=(15)/(sqrt10)
(b) 
P( bar(x) < 66.4)= 
◻ (Round to four decimal places as needed.)

A simple random sample of size n=10 n=10 is obtained from a population with μ=63 \mu=63 and σ=15 \sigma=15 .\newline(a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities involving the sample mean? Assuming that this condition is true, describe the sampling distribution of xˉ \bar{x} .\newline(b) Assuming the normal model can be used, determine P(x<66.4) P(x<66.4) .\newline(c) Assuming the normal model can be used, determine P(x64.2) P(x \geq 64.2) .\newline(a) What must be true regarding the distribution of the population?\newlineA. The sampling distribution must be assumed to be normal.\newlineB. Since the sample size is large enough, the population distribution doe need to be normal.\newlineC. The population must be normally distributed and the sample size must be large.\newlineD. The population must be normally distributed.\newlineAssuming the normal model can be used, describe the sampling distribution xˉ \bar{x} . Choose the correct answer below.\newlineA. Normal, with μxˉ=63 \mu_{\bar{x}}=63 and σxˉ=15 \sigma_{\bar{x}}=15 \newlineB. Normal, with μxˉ=63 \mu_{\bar{x}}=63 and μ=63 \mu=63 00\newlineC. Normal, with μxˉ=63 \mu_{\bar{x}}=63 and μ=63 \mu=63 22\newline(b) μ=63 \mu=63 33 μ=63 \mu=63 44 (Round to four decimal places as needed.)

Full solution

Q. A simple random sample of size n=10 n=10 is obtained from a population with μ=63 \mu=63 and σ=15 \sigma=15 .\newline(a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities involving the sample mean? Assuming that this condition is true, describe the sampling distribution of xˉ \bar{x} .\newline(b) Assuming the normal model can be used, determine P(x<66.4) P(x<66.4) .\newline(c) Assuming the normal model can be used, determine P(x64.2) P(x \geq 64.2) .\newline(a) What must be true regarding the distribution of the population?\newlineA. The sampling distribution must be assumed to be normal.\newlineB. Since the sample size is large enough, the population distribution doe need to be normal.\newlineC. The population must be normally distributed and the sample size must be large.\newlineD. The population must be normally distributed.\newlineAssuming the normal model can be used, describe the sampling distribution xˉ \bar{x} . Choose the correct answer below.\newlineA. Normal, with μxˉ=63 \mu_{\bar{x}}=63 and σxˉ=15 \sigma_{\bar{x}}=15 \newlineB. Normal, with μxˉ=63 \mu_{\bar{x}}=63 and μ=63 \mu=63 00\newlineC. Normal, with μxˉ=63 \mu_{\bar{x}}=63 and μ=63 \mu=63 22\newline(b) μ=63 \mu=63 33 μ=63 \mu=63 44 (Round to four decimal places as needed.)
  1. Determine Population Distribution: Determine if the population distribution allows for the use of the normal model.
  2. Identify Correct Statement: Identify the correct statement about the population distribution.
  3. Describe Sampling Distribution: Describe the sampling distribution of the sample mean (xˉ\bar{x}).
  4. Calculate Probability: Calculate P(xˉ<66.4)P(\bar{x} < 66.4) using the normal distribution.

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