Question 1

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

Accepted Answer

A) True 
 B)False

Question 2

As the size of the sample is increased, the standard deviation of the sampling distribution of the sample mean for a normally distributed population will stay the same.

Accepted Answer

A) True 
 B)False

Question 3

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 less than 36.03 is __________.

Accepted Answer

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

Question 4

For sample size 16, the sampling distribution of the mean will be approximately normally distributed

Accepted Answer

A) regardless of the shape of the population. 
B) if the shape of the population is symmetrical. 
C) if the sample standard deviation is known. 
D) if the sample is normally distributed. 
A) regardless of the shape of the population. 
B) if the shape of the population is symmetrical. 
C) if the sample standard deviation is known. 
D) if the sample is normally distributed.

Question 5

The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.A sample of 25 cans is to be selected.So, the middle 70% of all sample means will fall between what two values?

Accepted Answer

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

Question 6

The owner of a fish market has an assistant who has determined that the weights of catfish are normally distributed, with mean of 3.2 pounds and standard deviation of 0.8 pound.If a sample of 64 fish yields a mean of 3.4 pounds, what is probability of obtaining a sample mean this large or larger?

Accepted Answer

A) 0.0001 
B) 0.0013 
C) 0.0228 
D) 0.4987 
A) 0.0001 
B) 0.0013 
C) 0.0228 
D) 0.4987

Question 7

Which of the following is (are)true regarding the finite population correction fpc)?

Accepted Answer

A) The numerator is less than the denominator giving a correction value > 1.   
B) The numerator is less than the denominator giving a correction value   
C) Using the fpc, the standard error becomes smaller when corrected. 
D) b and c 
A) The numerator is less than the denominator giving a correction value > 1.   
B) The numerator is less than the denominator giving a correction value   
C) Using the fpc, the standard error becomes smaller when corrected. 
D) b and c

Question 8

SCENARIO 7-4 According to a survey, only 15% of customers who visited the web site of a major retail store made a purchase.Random samples of size 50 are selected.
-Referring to Scenario 7-4, the mean of all the sample proportions of customers who will make a purchase after visiting the web site is _______.

Accepted Answer

The answer of SCENARIO 7-4 According to a survey, only...

Question 9

Sampling distributions describe the distribution of

Accepted Answer

A) parameters. 
B) statistics. 
C) both parameters and statistics. 
D) neither parameters nor statistics. 
A) parameters. 
B) statistics. 
C) both parameters and statistics. 
D) neither parameters nor statistics.

Question 10

The sample mean is an unbiased estimate of the population mean.

Accepted Answer

A) True 
 B)False

Question 11

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 12

For sample sizes greater than 30, the sampling distribution of the mean will be approximately 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 standard deviation of the samples are known. 
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 standard deviation of the samples are known. 
D) only if the population is normally distributed.

Question 13

Which of the following statements gives the best reason for using the finite population correction in computing the standard error of a sample mean or proportion?

Accepted Answer

A) We are sampling from a finite population. 
B)    
C) It is used when sampling w/o replacement from more than 5% of the population because the central limit theorem does not hold and the standard error of the estimate
(sample mean or proportion)will be too large. 
D) It adjusts for the sample size being relatively large to that of the population. 
A) We are sampling from a finite population. 
B)    
C) It is used when sampling w/o replacement from more than 5% of the population because the central limit theorem does not hold and the standard error of the estimate
(sample mean or proportion)will be too large. 
D) It adjusts for the sample size being relatively large to that of the population.

Question 14

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 differs from the population mean by less than 2 hours?

Accepted Answer

0.3829 usi

Question 15

At a computer manufacturing company, the actual size of a computer chip is normally distributed with a mean of 1 centimeter and a standard deviation of 0.1 centimeter.A random sample of 12 computer chips is taken.What is the standard error for the sample mean?

Accepted Answer

A) 0.029 
B) 0.050 
C) 0.091 
D) 0.120 
A) 0.029 
B) 0.050 
C) 0.091 
D) 0.120

Question 16

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 it is assumed that the distribution of the amount of gasoline purchased per car is symmetric, there is approximately a 68.26% chance that a random sample of 16 cars will have a sample mean between 14 and 16 gallons.

Accepted Answer

A) True 
 B)False

Question 17

At a computer manufacturing company, the actual size of a computer chip is normally distributed with a mean of 1 centimeter and a standard deviation of 0.1 centimeter.A random sample of 12 computer chips is taken.What is the probability that the sample mean will be below 0.95 centimeters?

Accepted Answer

0.0416 usi

Question 18

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 19

The owner of a fish market has an assistant who has determined that the weights of catfish are normally distributed, with mean of 3.2 pounds and standard deviation of 0.8 pound.If a sample of 25 fish yields a mean of 3.6 pounds, what is the Z-score for this observation?

Accepted Answer

A) 18.750 
B) 2.500 
C) 1.875 
D) 0.750 
A) 18.750 
B) 2.500 
C) 1.875 
D) 0.750

Question 20

A manufacturer of power tools claims that the mean amount of time required to assemble their top-of-the-line table saw is 80 minutes with a standard deviation of 40 minutes. Suppose a random sample of 64 purchasers of this table saw is taken.The standard deviation of the sampling distribution of the sample mean is __________ minutes.

Accepted Answer

The answer of A manufacturer of power tools claims that...

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

As the size of the sample is increased, the standard deviation of the sampling distribution of the sample mean for a normally distributed population will stay the same.

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 less than 36.03 is __________.

For sample size 16, the sampling distribution of the mean will be approximately normally distributed

The amount of tea leaves in a can from a production line is normally distributed with grams and grams.A sample of 25 cans is to be selected.So, the middle 70% of all sample means will fall between what two values?

The owner of a fish market has an assistant who has determined that the weights of catfish are normally distributed, with mean of 3.2 pounds and standard deviation of 0.8 pound.If a sample of 64 fish yields a mean of 3.4 pounds, what is probability of obtaining a sample mean this large or larger?

Which of the following is (are)true regarding the finite population correction fpc)?

Sampling distributions describe the distribution of

The sample mean is an unbiased estimate of the population mean.

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.

For sample sizes greater than 30, the sampling distribution of the mean will be approximately normally distributed

Which of the following statements gives the best reason for using the finite population correction in computing the standard error of a sample mean or proportion?

At a computer manufacturing company, the actual size of a computer chip is normally distributed with a mean of 1 centimeter and a standard deviation of 0.1 centimeter.A random sample of 12 computer chips is taken.What is the standard error for the sample mean?

At a computer manufacturing company, the actual size of a computer chip is normally distributed with a mean of 1 centimeter and a standard deviation of 0.1 centimeter.A random sample of 12 computer chips is taken.What is the probability that the sample mean will be below 0.95 centimeters?

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 owner of a fish market has an assistant who has determined that the weights of catfish are normally distributed, with mean of 3.2 pounds and standard deviation of 0.8 pound.If a sample of 25 fish yields a mean of 3.6 pounds, what is the Z-score for this observation?

Defining and Collecting Data

Organizing and Visualizing Variables

Numerical Descriptive Measures

Basic Probability

Discrete Probability Distributions

The Normal Distributions and Other Continuous Distributions

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Two-Sample Tests

Analysis of Variance

Chi-Square and Nonparametric Tests

Simple Linear Regression

Introduction to Multiple Regression

Multiple Regression Model Building

Time-Series Forecasting

Business Analytics

A Roadmap for Analyzing Data

Statistical Applications in Quality Management Online

Decision Making Online

Understanding Statistics: Descriptive and Inferential Techniques

Filters

Exam 7: Sampling Distributions

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

As the size of the sample is increased, the standard deviation of the sampling distribution of the sample mean for a normally distributed population will stay the same.

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 less than 36.03 is __________.

For sample size 16, the sampling distribution of the mean will be approximately normally distributed

The amount of tea leaves in a can from a production line is normally distributed with grams and grams.A sample of 25 cans is to be selected.So, the middle 70% of all sample means will fall between what two values?

The owner of a fish market has an assistant who has determined that the weights of catfish are normally distributed, with mean of 3.2 pounds and standard deviation of 0.8 pound.If a sample of 64 fish yields a mean of 3.4 pounds, what is probability of obtaining a sample mean this large or larger?

Which of the following is (are)true regarding the finite population correction fpc)?

Sampling distributions describe the distribution of

The sample mean is an unbiased estimate of the population mean.

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.

For sample sizes greater than 30, the sampling distribution of the mean will be approximately normally distributed

Which of the following statements gives the best reason for using the finite population correction in computing the standard error of a sample mean or proportion?

At a computer manufacturing company, the actual size of a computer chip is normally distributed with a mean of 1 centimeter and a standard deviation of 0.1 centimeter.A random sample of 12 computer chips is taken.What is the standard error for the sample mean?

At a computer manufacturing company, the actual size of a computer chip is normally distributed with a mean of 1 centimeter and a standard deviation of 0.1 centimeter.A random sample of 12 computer chips is taken.What is the probability that the sample mean will be below 0.95 centimeters?

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 owner of a fish market has an assistant who has determined that the weights of catfish are normally distributed, with mean of 3.2 pounds and standard deviation of 0.8 pound.If a sample of 25 fish yields a mean of 3.6 pounds, what is the Z-score for this observation?

Defining and Collecting Data

Organizing and Visualizing Variables

Numerical Descriptive Measures

Basic Probability

Discrete Probability Distributions

The Normal Distributions and Other Continuous Distributions

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Two-Sample Tests

Analysis of Variance

Chi-Square and Nonparametric Tests

Simple Linear Regression

Introduction to Multiple Regression

Multiple Regression Model Building

Time-Series Forecasting

Business Analytics

A Roadmap for Analyzing Data

Statistical Applications in Quality Management Online

Decision Making Online

Understanding Statistics: Descriptive and Inferential Techniques

Filters