The U.S. Census Bureau reported that in 2015 the proportion of adult Americans, ages 25 and older, who have a bachelor's degree or higher is 0.325.† Consider the population of all adult Americans, ages 25 and over, in 2015 and define p̂ to be the proportion of people in a random sample from this population who have a bachelor's degree or higher. (a) Would p̂ based on a random sample of only 10 people from this population have a sampling distribution that is approximately normal? Explain why or why not. , the sampling distribution of p̂ based on a random sample of size 10 residents approximately normally distributed because np is 10. (b) What are the mean and standard deviation of the sampling distribution of p̂ if the sample size is 600? (Round your standard deviation to four decimal places.) mean standard deviation (c) Suppose that the sample size is n = 300 rather than n = 600. What are the values for the mean and standard deviation when n = 300? (Round your standard deviation to four decimal places.) meanstandard deviation Does the change in sample size affect the mean and standard deviation of the sampling distribution of p̂? If not, explain why not. (Select all that apply.) When the sample size decreases, the mean increases. When the sample size decreases, the mean decreases. When the sample size decreases, the mean stays the same. The sampling distribution is always centered at the population mean, regardless of sample size. When the sample size decreases, the standard deviation increases. When the sample size decreases, the standard deviation decreases. When the sample size decreases, the standard deviation stays the same. The standard deviation of the sampling distribution is always the same as the standard deviation of the population distribution, regardless of sample size.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

100%

The U.S. Census Bureau reported that in 2015 the proportion of adult Americans, ages 25 and older, who have a bachelor's degree or higher is 0.325.† Consider the population of all adult Americans, ages 25 and over, in 2015 and define p̂ to be the proportion of people in a random sample from this population who have a bachelor's degree or higher.

(a)

Would p̂ based on a random sample of only 10 people from this population have a sampling distribution that is approximately normal? Explain why or why not.

, the sampling distribution of p̂ based on a random sample of size 10 residents approximately normally distributed because np is 10.

(b)

What are the mean and standard deviation of the sampling distribution of p̂ if the sample size is 600? (Round your standard deviation to four decimal places.)

mean

standard deviation

(c)

Suppose that the sample size is

n = 300

rather than

n = 600.

What are the values for the mean and standard deviation when

n = 300?

(Round your standard deviation to four decimal places.)

meanstandard deviation

Does the change in sample size affect the mean and standard deviation of the sampling distribution of p̂? If not, explain why not. (Select all that apply.)

When the sample size decreases, the mean increases.

When the sample size decreases, the mean decreases.

When the sample size decreases, the mean stays the same. The sampling distribution is always centered at the population mean, regardless of sample size.

When the sample size decreases, the standard deviation increases.

When the sample size decreases, the standard deviation decreases.

When the sample size decreases, the standard deviation stays the same. The standard deviation of the sampling distribution is always the same as the standard deviation of the population distribution, regardless of sample size.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Expert Solution