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A simple random sample of size 
n=49 is obtained from a population that is skewed right with 
mu=86 and 
sigma=21.
(a) Describe the sampling distribution of 
bar(x).
(b) What is 
P( bar(x) > 91.25) ?
(c) What is 
P(x <= 79.85) ?
(d) What is 
P(83.3 < bar(x) < 92.9) ?
(a) Choose the correct description of the shape of the sampling distribution of 
x.
A. The distribution is approximately normal.
B. The distribution is skewed right.
C. The distribution is uniform.
D. The distribution is skewed left.
E. The shape of the distribution is unknown.
Find the mean and standard deviation of the sampling distribution of 
bar(x).

{:[mu_( bar(x))=86],[sigma_( bar(x))=21]:}
(Type integers or decimals. Do not round.)
(b) 
P( bar(x) > 91.25)= 
◻ (Round to four decimal places as needed.)
(c) 
P( bar(x) <= 79.85)= 
◻ (Round to four decimal places as needed.)
(d) 
P(83.3 < bar(x) < 92.9)= 
◻ (Round to four decimal places as needed.)

A simple random sample of size n=49 n=49 is obtained from a population that is skewed right with μ=86 \mu=86 and σ=21 \sigma=21 .\newline(a) Describe the sampling distribution of xˉ \bar{x} .\newline(b) What is P(xˉ>91.25) P(\bar{x}>91.25) ?\newline(c) What is P(x79.85) P(x \leq 79.85) ?\newline(d) What is P(83.3<xˉ<92.9) \mathrm{P}(83.3<\bar{x}<92.9) ?\newline(a) Choose the correct description of the shape of the sampling distribution of x \mathrm{x} .\newlineA. The distribution is approximately normal.\newlineB. The distribution is skewed right.\newlineC. The distribution is uniform.\newlineD. The distribution is skewed left.\newlineE. The shape of the distribution is unknown.\newlineFind the mean and standard deviation of the sampling distribution of xˉ \bar{x} .\newlineμxˉ=86σxˉ=21 \begin{array}{l} \mu_{\bar{x}}=86 \\ \sigma_{\bar{x}}=21 \end{array} \newline(Type integers or decimals. Do not round.)\newline(b) P(xˉ>91.25)= P(\bar{x}>91.25)= μ=86 \mu=86 00 (Round to four decimal places as needed.)\newline(c) μ=86 \mu=86 11 μ=86 \mu=86 00 (Round to four decimal places as needed.)\newline(d) μ=86 \mu=86 33 μ=86 \mu=86 00 (Round to four decimal places as needed.)

Full solution

Q. A simple random sample of size n=49 n=49 is obtained from a population that is skewed right with μ=86 \mu=86 and σ=21 \sigma=21 .\newline(a) Describe the sampling distribution of xˉ \bar{x} .\newline(b) What is P(xˉ>91.25) P(\bar{x}>91.25) ?\newline(c) What is P(x79.85) P(x \leq 79.85) ?\newline(d) What is P(83.3<xˉ<92.9) \mathrm{P}(83.3<\bar{x}<92.9) ?\newline(a) Choose the correct description of the shape of the sampling distribution of x \mathrm{x} .\newlineA. The distribution is approximately normal.\newlineB. The distribution is skewed right.\newlineC. The distribution is uniform.\newlineD. The distribution is skewed left.\newlineE. The shape of the distribution is unknown.\newlineFind the mean and standard deviation of the sampling distribution of xˉ \bar{x} .\newlineμxˉ=86σxˉ=21 \begin{array}{l} \mu_{\bar{x}}=86 \\ \sigma_{\bar{x}}=21 \end{array} \newline(Type integers or decimals. Do not round.)\newline(b) P(xˉ>91.25)= P(\bar{x}>91.25)= μ=86 \mu=86 00 (Round to four decimal places as needed.)\newline(c) μ=86 \mu=86 11 μ=86 \mu=86 00 (Round to four decimal places as needed.)\newline(d) μ=86 \mu=86 33 μ=86 \mu=86 00 (Round to four decimal places as needed.)
  1. Calculate Standard Deviation: Calculate the standard deviation of the sampling distribution of xˉ\bar{x} using the formula σxˉ=σn\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}, where σ=21\sigma = 21 and n=49n = 49.
  2. Describe Sampling Distribution Shape: Answer part (a) by choosing the correct description of the shape of the sampling distribution of xˉ\bar{x}. Given the large sample size (n=4949) and the Central Limit Theorem, the distribution of xˉ\bar{x} will be approximately normal regardless of the original population's skew.
  3. Calculate Probability for > 9191.2525: For part (b), calculate P(xˉ>91.25)P(\bar{x} > 91.25) using the standard normal distribution since the sampling distribution of xˉ\bar{x} is approximately normal. First, find the z-score for 9191.2525.
  4. Calculate Probability for <= 7979.8585: For part (c), calculate P(xˉ79.85)P(\bar{x} \leq 79.85) using the standard normal distribution. First, find the z-score for 7979.8585.
  5. Calculate Probability for 8383.33 < x < 9292.99: For part (d), calculate P(83.3<xˉ<92.9)P(83.3 < \bar{x} < 92.9) using the standard normal distribution. Find the z-scores for 8383.33 and 9292.99.

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