Question 1

A sample that does not provide a good representation of the population from which it was collected is referred to as a (n) sample.

Accepted Answer

The answer of A sample that does not provide a...

Question 2

The amount of tea leaves in a can from a production line is normally distributed with $\mu = 110$ grams and $\sigma = 25$ grams.A sample of 25 cans is to be selected.So, 95% of all sample meanswill be greater than how many grams?

Accepted Answer

The answer of The amount of tea leaves in a...

Question 3

A study at a college in the west coast reveals that, historically, 45% of the students are minority students.If a random sample of size 75 is selected, the probability is that more than half of the students in the sample will be minority students.

Accepted Answer

0.1920 usi

Question 4

For sample size 1, the sampling distribution of the mean will be normally distributed

Accepted Answer

A) regardless of the shape of the population. 
B) only if the shape of the population is symmetrical. 
C) only if the population values are positive. 
D) only if the population is normally distributed. 
A) regardless of the shape of the population. 
B) only if the shape of the population is symmetrical. 
C) only if the population values are positive. 
D) only if the population is normally distributed.

Question 5

The Central Limit Theorem is considered powerful in statistics because it works for any population distribution provided the sample size is sufficiently large and the population mean, and standard deviation are known.

Accepted Answer

A) True 
 B)False

Question 6

The standard error of the mean for a sample of 100 is 30.To cut the standard error of the mean to15, we would

Accepted Answer

A) increase the sample size to 200. 
B) increase the sample size to 400. 
C) decrease the sample size to 50. 
D) decrease the sample to 25. 
A) increase the sample size to 200. 
B) increase the sample size to 400. 
C) decrease the sample size to 50. 
D) decrease the sample to 25.

Question 7

If the amount of gasoline purchased per car at a large service station has a population mean of 15 gallons and a population standard deviation of 4 gallons and a random sample of 4 cars is selected, there is approximately a 68.26% chance that the sample mean will be between 13 and 17 gallons.

Accepted Answer

A) True 
 B)False

Question 8

The amount of tea leaves in a can from a production line is normally distributed with $\mu = 110$ grams and $\sigma = 25$ grams.A sample of 25 cans is to be selected.What is the probability that thesample mean will be less than 100 grams?

Accepted Answer

The answer of The amount of tea leaves in a...

Question 9

Suppose $\mu$ = 50 and $\sigma$ = 10 for a population.In a sample where n = 100 is randomly taken, 90% of all possible sample means will fall between 49 and 51.

Accepted Answer

A) True 
 B)False

Question 10

The amount of bleach a machine pours into bottles has a mean of 36 oz.with a standard deviation of 0.15 oz.Suppose we take a random sample of 36 bottles filled by this machine.The probability that the mean of the sample is between 35.95 and 35.98 oz.is .

Accepted Answer

The answer of The amount of bleach a machine pours...

Question 11

A sampling distribution is defined as the probability distribution of possible sample sizes that can be observed from a given population.

Accepted Answer

A) True 
 B)False

Question 12

The amount of time required for an oil and filter change on an automobile is normally distributed with a mean of 45 minutes and a standard deviation of 10 minutes.A random sample of 16 cars is selected.What is the standard error of the mean?

Accepted Answer

The answer of The amount of time required for an...

Question 13

A study at a college in the west coast reveals that, historically, 45% of the students are minority students.If random samples of size 75 are selected, 95% of the samples will have more than% of minority students.

Accepted Answer

The answer of A study at a college in the...

Question 14

SCENARIO 7-6
Online customer service is a key element to successful online retailing.According to a marketing survey, 37.5% of online customers take advantage of the online customer service.Random samples of 200 customers are selected.
-Referring to Scenario 7-6, 95% of the samples that proportion symmetrically around the population proportion will have between % and % of the customers who take advantage of online customer service.

Accepted Answer

The answer of SCENARIO 7-6
Online customer service is a key...

Question 15

For air travelers, one of the biggest complaints is of the waiting time between when the airplane taxis away from the terminal until the flight takes off.This waiting time is known to have a right skewed distribution with a mean of 10 minutes and a standard deviation of 8 minutes.Suppose100 flights have been randomly sampled.Describe the sampling distribution of the mean waiting time between when the airplane taxis away from the terminal until the flight takes off for these100 flights.

Accepted Answer

A) Distribution is right skewed with mean = 10 minutes and standard error = 0.8 minutes. 
B) Distribution is right skewed with mean = 10 minutes and standard error = 8 minutes. 
C) Distribution is approximately normal with mean = 10 minutes and standard error = 0.8 minutes. 
D) Distribution is approximately normal with mean = 10 minutes and standard error = 8 minutes. 
A) Distribution is right skewed with mean = 10 minutes and standard error = 0.8 minutes. 
B) Distribution is right skewed with mean = 10 minutes and standard error = 8 minutes. 
C) Distribution is approximately normal with mean = 10 minutes and standard error = 0.8 minutes. 
D) Distribution is approximately normal with mean = 10 minutes and standard error = 8 minutes.

Question 16

SCENARIO 7-1
The time spent studying by students in the week before final exams follows a normal distribution with a standard deviation of 8 hours.A random sample of 4 students was taken to estimate the mean study time for the population of all students.
-Referring to Scenario 7-1, what is the probability that the sample mean exceeds the population mean by more than 2 hours?

Accepted Answer

The answer of SCENARIO 7-1
The time spent studying by students...

Question 17

If the population distribution is skewed, in most cases the sampling distribution of the mean can be approximated by the normal distribution if the samples contain at least 30 observations.

Accepted Answer

A) True 
 B)False

Question 18

If the population distribution is unknown, in most cases the sampling distribution of the mean can be approximated by the normal distribution if the samples contain at least 30 observations.

Accepted Answer

A) True 
 B)False

Question 19

Which of the following is true about the sampling distribution of the sample mean?

Accepted Answer

A) The mean of the sampling distribution is always $\mu$ . 
B) The standard deviation of the sampling distribution is always $\sigma$ . 
C) The shape of the sampling distribution is always approximately normal. 
D) All the above are true. 
A) The mean of the sampling distribution is always $\mu$ . 
B) The standard deviation of the sampling distribution is always $\sigma$ . 
C) The shape of the sampling distribution is always approximately normal. 
D) All the above are true.

Question 20

As the sample size increases, the effect of an extreme value on the sample mean becomes smaller.

Accepted Answer

A) True 
 B)False

A sample that does not provide a good representation of the population from which it was collected is referred to as a (n) sample.

The amount of tea leaves in a can from a production line is normally distributed with $\mu = 110$ grams and $\sigma = 25$ grams.A sample of 25 cans is to be selected.So, 95% of all sample meanswill be greater than how many grams?

A study at a college in the west coast reveals that, historically, 45% of the students are minority students.If a random sample of size 75 is selected, the probability is that more than half of the students in the sample will be minority students.

For sample size 1, the sampling distribution of the mean will be normally distributed

The Central Limit Theorem is considered powerful in statistics because it works for any population distribution provided the sample size is sufficiently large and the population mean, and standard deviation are known.

The standard error of the mean for a sample of 100 is 30.To cut the standard error of the mean to15, we would

If the amount of gasoline purchased per car at a large service station has a population mean of 15 gallons and a population standard deviation of 4 gallons and a random sample of 4 cars is selected, there is approximately a 68.26% chance that the sample mean will be between 13 and 17 gallons.

The amount of tea leaves in a can from a production line is normally distributed with $\mu = 110$ grams and $\sigma = 25$ grams.A sample of 25 cans is to be selected.What is the probability that thesample mean will be less than 100 grams?

Suppose $\mu$ = 50 and $\sigma$ = 10 for a population.In a sample where n = 100 is randomly taken, 90% of all possible sample means will fall between 49 and 51.

The amount of bleach a machine pours into bottles has a mean of 36 oz.with a standard deviation of 0.15 oz.Suppose we take a random sample of 36 bottles filled by this machine.The probability that the mean of the sample is between 35.95 and 35.98 oz.is .

A sampling distribution is defined as the probability distribution of possible sample sizes that can be observed from a given population.

The amount of time required for an oil and filter change on an automobile is normally distributed with a mean of 45 minutes and a standard deviation of 10 minutes.A random sample of 16 cars is selected.What is the standard error of the mean?

A study at a college in the west coast reveals that, historically, 45% of the students are minority students.If random samples of size 75 are selected, 95% of the samples will have more than% of minority students.

If the population distribution is skewed, in most cases the sampling distribution of the mean can be approximated by the normal distribution if the samples contain at least 30 observations.

If the population distribution is unknown, in most cases the sampling distribution of the mean can be approximated by the normal distribution if the samples contain at least 30 observations.

Which of the following is true about the sampling distribution of the sample mean?

As the sample size increases, the effect of an extreme value on the sample mean becomes smaller.

Defining and Collecting Data

Organizing and Visualizing Variables

Numerical Descriptive Measures

Basic Probability

Discrete Probability Distributions

The Normal Distribution

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Two-Sample Tests

Chi-Square Tests

Simple Linear Regression

Multiple Regression

Business Analytics

Filters

Exam 7: Sampling Distributions

A sample that does not provide a good representation of the population from which it was collected is referred to as a (n) sample.

The amount of tea leaves in a can from a production line is normally distributed with μ=110\mu = 110μ=110 grams and σ=25\sigma = 25σ=25 grams.A sample of 25 cans is to be selected.So, 95% of all sample meanswill be greater than how many grams?

A study at a college in the west coast reveals that, historically, 45% of the students are minority students.If a random sample of size 75 is selected, the probability is that more than half of the students in the sample will be minority students.

For sample size 1, the sampling distribution of the mean will be normally distributed

The Central Limit Theorem is considered powerful in statistics because it works for any population distribution provided the sample size is sufficiently large and the population mean, and standard deviation are known.

The standard error of the mean for a sample of 100 is 30.To cut the standard error of the mean to15, we would

If the amount of gasoline purchased per car at a large service station has a population mean of 15 gallons and a population standard deviation of 4 gallons and a random sample of 4 cars is selected, there is approximately a 68.26% chance that the sample mean will be between 13 and 17 gallons.

The amount of tea leaves in a can from a production line is normally distributed with μ=110\mu = 110μ=110 grams and σ=25\sigma = 25σ=25 grams.A sample of 25 cans is to be selected.What is the probability that thesample mean will be less than 100 grams?

Suppose μ\muμ = 50 and σ\sigmaσ = 10 for a population.In a sample where n = 100 is randomly taken, 90% of all possible sample means will fall between 49 and 51.

The amount of bleach a machine pours into bottles has a mean of 36 oz.with a standard deviation of 0.15 oz.Suppose we take a random sample of 36 bottles filled by this machine.The probability that the mean of the sample is between 35.95 and 35.98 oz.is .

A sampling distribution is defined as the probability distribution of possible sample sizes that can be observed from a given population.

The amount of time required for an oil and filter change on an automobile is normally distributed with a mean of 45 minutes and a standard deviation of 10 minutes.A random sample of 16 cars is selected.What is the standard error of the mean?

A study at a college in the west coast reveals that, historically, 45% of the students are minority students.If random samples of size 75 are selected, 95% of the samples will have more than% of minority students.

If the population distribution is skewed, in most cases the sampling distribution of the mean can be approximated by the normal distribution if the samples contain at least 30 observations.

If the population distribution is unknown, in most cases the sampling distribution of the mean can be approximated by the normal distribution if the samples contain at least 30 observations.

Which of the following is true about the sampling distribution of the sample mean?

As the sample size increases, the effect of an extreme value on the sample mean becomes smaller.

Defining and Collecting Data

Organizing and Visualizing Variables

Numerical Descriptive Measures

Basic Probability

Discrete Probability Distributions

The Normal Distribution

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Two-Sample Tests

Chi-Square Tests

Simple Linear Regression

Multiple Regression

Business Analytics

Filters

The amount of tea leaves in a can from a production line is normally distributed with $\mu = 110$ grams and $\sigma = 25$ grams.A sample of 25 cans is to be selected.So, 95% of all sample meanswill be greater than how many grams?

The amount of tea leaves in a can from a production line is normally distributed with $\mu = 110$ grams and $\sigma = 25$ grams.A sample of 25 cans is to be selected.What is the probability that thesample mean will be less than 100 grams?

Suppose $\mu$ = 50 and $\sigma$ = 10 for a population.In a sample where n = 100 is randomly taken, 90% of all possible sample means will fall between 49 and 51.