deviation ofo = 8. a. If the population distribution is normal, what is the probability of obtaining a sample mean greater than M = 32 for a sample ofn b. If the population distribution is positively skewed, what is the probability of obtaining a sample mean greater than M = 32 for a sample of n = 4? c. If the population distribution is normal, what is the probability of obtaining a sample mean greater than M = 32 for a sample of n = 64? 4?

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**Question 16: Understanding Probability in Different Distributions**

A population has a mean (\(\mu\)) of 30 and a standard deviation (\(\sigma\)) of 8. Consider the following scenarios:

a. **Normal Distribution with Small Sample Size:**
   - If the population distribution is normal, what is the probability of obtaining a sample mean greater than \(M = 32\) for a sample of \(n = 4\)?

b. **Positively Skewed Distribution with Small Sample Size:**
   - If the population distribution is positively skewed, what is the probability of obtaining a sample mean greater than \(M = 32\) for a sample of \(n = 4\)?

c. **Normal Distribution with Large Sample Size:**
   - If the population distribution is normal, what is the probability of obtaining a sample mean greater than \(M = 32\) for a sample of \(n = 64\)?

d. **Positively Skewed Distribution with Large Sample Size:**
   - If the population distribution is positively skewed, what is the probability of obtaining a sample mean greater than \(M = 32\) for a sample of \(n = 64\)?

Explore how the characteristics of the distribution and the sample size influence the probability of obtaining a specific sample mean.
Transcribed Image Text:**Question 16: Understanding Probability in Different Distributions** A population has a mean (\(\mu\)) of 30 and a standard deviation (\(\sigma\)) of 8. Consider the following scenarios: a. **Normal Distribution with Small Sample Size:** - If the population distribution is normal, what is the probability of obtaining a sample mean greater than \(M = 32\) for a sample of \(n = 4\)? b. **Positively Skewed Distribution with Small Sample Size:** - If the population distribution is positively skewed, what is the probability of obtaining a sample mean greater than \(M = 32\) for a sample of \(n = 4\)? c. **Normal Distribution with Large Sample Size:** - If the population distribution is normal, what is the probability of obtaining a sample mean greater than \(M = 32\) for a sample of \(n = 64\)? d. **Positively Skewed Distribution with Large Sample Size:** - If the population distribution is positively skewed, what is the probability of obtaining a sample mean greater than \(M = 32\) for a sample of \(n = 64\)? Explore how the characteristics of the distribution and the sample size influence the probability of obtaining a specific sample mean.
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