Question 1

The standard error of the sampling distribution of the sample proportion $\tilde{ p }$ , when the sample size n = 100 and the population proportion p = 0.30, is 0.0021.

Accepted Answer

A) True 
 B)False

Question 2

NARRBEGIN: Heights of Men
Heights of Men
The heights of men in the USA are normally distributed with a mean of 68 inches and a standard deviation of 4 inches.NARREND
-{Heights of Men Narrative} What is the probability that the mean height of a random sample of 36 men is greater than 70 inches?

Accepted Answer

The answer of NARRBEGIN: Heights of Men
Heights of Men
The heights...

Question 3

Suppose that 100 items are drawn from a population of manufactured products and the weight, X, of each item is recorded. Prior experience has shown that the weight has a non-normal probability distribution with $\mu$= 8 ounces and $\sigma$ = 3 ounces. Which of the following is true about the sampling of $\bar { X }$ ?

Accepted Answer

A) Its mean is 8 ounces. 
B) Its standard error is 0.3 ounces. 
C) Its shape is approximately normal. 
D) All of these choices are true. 
A) Its mean is 8 ounces. 
B) Its standard error is 0.3 ounces. 
C) Its shape is approximately normal. 
D) All of these choices are true.

Question 4

A sample of size n is selected at random from an infinite population. As n increases, the standard error of the sample mean increases.

Accepted Answer

A) True 
 B)False

Question 5

NARRBEGIN: Retirees
Retirees
A sample of 50 retirees is drawn at random from a normal population whose mean age and standard deviation are 75 and 6 years, respectively.NARREND
-{Retirees Narrative} What is the probability that the mean age is at most 73 years?

Accepted Answer

The answer of NARRBEGIN: Retirees
Retirees
A sample of 50 retirees is...

Question 6

NARRBEGIN: Retirees
Retirees
A sample of 50 retirees is drawn at random from a normal population whose mean age and standard deviation are 75 and 6 years, respectively.NARREND
-(Retirees Narrative} Find the mean and standard error of the sampling distribution of the sample mean.

Accepted Answer

The answer of NARRBEGIN: Retirees
Retirees
A sample of 50 retirees is...

Question 7

The expected value of the sampling distribution of $\bar { X } _ { 1 } - \bar { X } _ { 2 }$ is $\mu _ { \bar { g } _ { 1 } } - \bar { x } _ { 2 } = \mu _ { 1 } - \mu _ { 2 }$ where$\mu$i is the mean of population i (i = 1, 2).

Accepted Answer

A) True 
 B)False

Question 8

If two random samples of sizes n1 and n2 are selected independently from two populations with means $\mu$1 and $\mu$2, then the mean of $\bar { X } _ { 1 } - \bar { X } _ { 2 }$ equals:

Accepted Answer

A) $\mu$1 + $\mu$2 
B) $\mu$1 -$\mu$2 
C) $\mu$1 / $\mu$2 
D) $\mu$1 $\mu$2 
A) $\mu$1 + $\mu$2 
B) $\mu$1 -$\mu$2 
C) $\mu$1 / $\mu$2 
D) $\mu$1 $\mu$2

Question 9

The continuity correction factor adds and subtracts the number ____________________ to/from x to find P(X = x).

Accepted Answer

The answer of The continuity correction factor adds and subtracts...

Question 10

NARRBEGIN: CFO's Salary
CFO's Salary
Suppose that the starting salaries of female CFO's have a positively skewed distribution with mean of $56,000 and a standard deviation of $12,000. The starting salaries of male CFO's are positively skewed with a mean of $50,000 and a standard deviation of $10,000. A random sample of 50 female CFO's and a random sample of 40 male CFO's are selected.NARREND
-{CFO's Salary Narrative} Find the standard error of the sample mean difference.

Accepted Answer

The answer of NARRBEGIN: CFO's Salary
CFO's Salary
Suppose that the starting...

Question 11

NARRBEGIN: Barack Obama
Barack Obama
Bill Clinton, the former President of the United States, believes that the proportion of voters who will vote for Barack Obama in the year 2012 presidential elections is 0.65. A sample of 500 voters is selected at random.NARREND
-Let X be a binomial random variable with n = 100 and p = 0.7. Approximate the following probabilities, using the normal distribution.
a.P(X = 75)
b.P(X $\le$ 70)
c.P(X > 70)

Accepted Answer

a.0.05
b.0

Question 12

In general, the binomial probability P(X $\le$ x) is approximated by the area under the normal curve to the left of x + .5.

Accepted Answer

A) True 
 B)False

Question 13

If the sample size increases, the standard error of the mean also increases.

Accepted Answer

A) True 
 B)False

Question 14

A sample of size 25 is selected at random from a finite population. If the finite population correction factor is 0.63, then the population size is:

Accepted Answer

A) 25 
B) 66 
C) 41 
D) None of these choices. 
A) 25 
B) 66 
C) 41 
D) None of these choices.

Question 15

If two samples are selected independently from two non-normal populations, then the sampling distribution of $\bar { X } _ { 1 } - \bar { X } _ { 2 }$ is only approximately normal provided that either n1 or n2 is 30 or more.

Accepted Answer

A) True 
 B)False

Question 16

NARRBEGIN: Barack Obama
Barack Obama
Bill Clinton, the former President of the United States, believes that the proportion of voters who will vote for Barack Obama in the year 2012 presidential elections is 0.65. A sample of 500 voters is selected at random.NARREND
-{Barack Obama Narrative} Find the expected value and the standard deviation of the sample proportion $\tilde{ p }$ .

Accepted Answer

E( @#IMG-DLM& ) = 0.

Question 17

NARRBEGIN: PokerTime
Poker Time
The amount of time spent by American adults playing Poker per week is normally distributed with a mean of 4 hours and standard deviation of 1.25 hours.NARREND
-{Poker Time Narrative} Find the probability that a randomly selected American adult plays Poker for more than 5 hours per week.

Accepted Answer

The answer of NARRBEGIN: PokerTime
Poker Time
The amount of time spent...

Question 18

A sample of size 25 is selected from a population of size 75. The finite population correction needed to find the standard error of $\bar { X }$ .

Accepted Answer

A) True 
 B)False

Question 19

The standard error of the sample proportion gets larger as:

Accepted Answer

A) p approaches 0 
B) p approaches 0.50 
C) p approaches 1.00 
D) None of these choices. 
A) p approaches 0 
B) p approaches 0.50 
C) p approaches 1.00 
D) None of these choices.

Question 20

If all possible samples of size n are drawn from a population, the probability distribution of the sample mean $\bar { X }$ is called the:

Accepted Answer

A) standard error of. 
B) expected value of. 
C) sampling distribution of. 
D) normal distribution. 
A) standard error of. 
B) expected value of. 
C) sampling distribution of. 
D) normal distribution.

The standard error of the sampling distribution of the sample proportion $\tilde{ p }$ , when the sample size n = 100 and the population proportion p = 0.30, is 0.0021.

NARRBEGIN: Heights of Men Heights of Men The heights of men in the USA are normally distributed with a mean of 68 inches and a standard deviation of 4 inches.NARREND -{Heights of Men Narrative} What is the probability that the mean height of a random sample of 36 men is greater than 70 inches?

A sample of size n is selected at random from an infinite population. As n increases, the standard error of the sample mean increases.

NARRBEGIN: Retirees Retirees A sample of 50 retirees is drawn at random from a normal population whose mean age and standard deviation are 75 and 6 years, respectively.NARREND -{Retirees Narrative} What is the probability that the mean age is at most 73 years?

NARRBEGIN: Retirees Retirees A sample of 50 retirees is drawn at random from a normal population whose mean age and standard deviation are 75 and 6 years, respectively.NARREND -(Retirees Narrative} Find the mean and standard error of the sampling distribution of the sample mean.

The expected value of the sampling distribution of $\bar { X } _ { 1 } - \bar { X } _ { 2 }$ is $\mu _ { \bar { g } _ { 1 } } - \bar { x } _ { 2 } = \mu _ { 1 } - \mu _ { 2 }$ where $\mu$ _i is the mean of population i (i = 1, 2).

If two random samples of sizes n₁ and n₂ are selected independently from two populations with means $\mu$ ₁ and $\mu$ ₂, then the mean of $\bar { X } _ { 1 } - \bar { X } _ { 2 }$ equals:

The continuity correction factor adds and subtracts the number ____________________ to/from x to find P(X = x).

In general, the binomial probability P(X $\le$ x) is approximated by the area under the normal curve to the left of x + .5.

If the sample size increases, the standard error of the mean also increases.

A sample of size 25 is selected at random from a finite population. If the finite population correction factor is 0.63, then the population size is:

If two samples are selected independently from two non-normal populations, then the sampling distribution of $\bar { X } _ { 1 } - \bar { X } _ { 2 }$ is only approximately normal provided that either n₁ or n₂ is 30 or more.

A sample of size 25 is selected from a population of size 75. The finite population correction needed to find the standard error of $\bar { X }$ .

The standard error of the sample proportion gets larger as:

If all possible samples of size n are drawn from a population, the probability distribution of the sample mean $\bar { X }$ is called the:

What Is Statistics

Graphical Descriptive Techniques I

Graphical Descriptive Techniques II

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations

Analysis of Variance

Chi-Squared Tests Optional

Simple Linear Regression and Correlation

Multiple Regression

Filters

Exam 9: Sampling Distributions

The standard error of the sampling distribution of the sample proportion p~\tilde{ p }p~​ , when the sample size n = 100 and the population proportion p = 0.30, is 0.0021.

NARRBEGIN: Heights of Men Heights of Men The heights of men in the USA are normally distributed with a mean of 68 inches and a standard deviation of 4 inches.NARREND -{Heights of Men Narrative} What is the probability that the mean height of a random sample of 36 men is greater than 70 inches?

A sample of size n is selected at random from an infinite population. As n increases, the standard error of the sample mean increases.

NARRBEGIN: Retirees Retirees A sample of 50 retirees is drawn at random from a normal population whose mean age and standard deviation are 75 and 6 years, respectively.NARREND -{Retirees Narrative} What is the probability that the mean age is at most 73 years?

NARRBEGIN: Retirees Retirees A sample of 50 retirees is drawn at random from a normal population whose mean age and standard deviation are 75 and 6 years, respectively.NARREND -(Retirees Narrative} Find the mean and standard error of the sampling distribution of the sample mean.

If two random samples of sizes n1 and n2 are selected independently from two populations with means μ\muμ 1 and μ\muμ 2, then the mean of Xˉ1−Xˉ2\bar { X } _ { 1 } - \bar { X } _ { 2 }Xˉ1​−Xˉ2​ equals:

The continuity correction factor adds and subtracts the number ____________________ to/from x to find P(X = x).

In general, the binomial probability P(X ≤\le≤ x) is approximated by the area under the normal curve to the left of x + .5.

If the sample size increases, the standard error of the mean also increases.

A sample of size 25 is selected at random from a finite population. If the finite population correction factor is 0.63, then the population size is:

If two samples are selected independently from two non-normal populations, then the sampling distribution of Xˉ1−Xˉ2\bar { X } _ { 1 } - \bar { X } _ { 2 }Xˉ1​−Xˉ2​ is only approximately normal provided that either n1 or n2 is 30 or more.

A sample of size 25 is selected from a population of size 75. The finite population correction needed to find the standard error of Xˉ\bar { X }Xˉ .

The standard error of the sample proportion gets larger as:

If all possible samples of size n are drawn from a population, the probability distribution of the sample mean Xˉ\bar { X }Xˉ is called the:

What Is Statistics

Graphical Descriptive Techniques I

Graphical Descriptive Techniques II

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations

Analysis of Variance

Chi-Squared Tests Optional

Simple Linear Regression and Correlation

Multiple Regression

Filters

The standard error of the sampling distribution of the sample proportion $\tilde{ p }$ , when the sample size n = 100 and the population proportion p = 0.30, is 0.0021.

If two random samples of sizes n₁ and n₂ are selected independently from two populations with means $\mu$ ₁ and $\mu$ ₂, then the mean of $\bar { X } _ { 1 } - \bar { X } _ { 2 }$ equals:

In general, the binomial probability P(X $\le$ x) is approximated by the area under the normal curve to the left of x + .5.

If two samples are selected independently from two non-normal populations, then the sampling distribution of $\bar { X } _ { 1 } - \bar { X } _ { 2 }$ is only approximately normal provided that either n₁ or n₂ is 30 or more.

A sample of size 25 is selected from a population of size 75. The finite population correction needed to find the standard error of $\bar { X }$ .

If all possible samples of size n are drawn from a population, the probability distribution of the sample mean $\bar { X }$ is called the: