Question 1

In inferential statistics,the standard error of the sample mean assesses the uncertainty or error of estimation.

Accepted Answer

A) True 
 B)False

Question 2

A study at a college in the west coast reveals that,historically,45% of the students are minority students.The expected percentage of minority students in their next group of freshmen is
.

Accepted Answer

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

Question 3

SCENARIO 7-3
The lifetimes of a certain brand of light bulbs are known to be normally distributed with a mean of 1,600 hours and a standard deviation of 400 hours.A random sample of 64 of these light bulbs is taken.
-Referring to Scenario 7-3,the probability is 0.15 that the sample mean lifetime is more than how many hours?

Accepted Answer

1,651.82 hours using

Question 4

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 more than 3 hours?

Accepted Answer

0.4533 usi

Question 5

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 6

The Central Limit Theorem is important in statistics because

Accepted Answer

A) for a large n,it says the population is approximately normal. 
B) for any population,it says the sampling distribution of the sample mean is approximately normal,regardless of the sample size. 
C) for a large n,it says the sampling distribution of the sample mean is approximately normal,regardless of the shape of the population. 
D) for any sized sample,it says the sampling distribution of the sample mean is approximately normal. 
A) for a large n,it says the population is approximately normal. 
B) for any population,it says the sampling distribution of the sample mean is approximately normal,regardless of the sample size. 
C) for a large n,it says the sampling distribution of the sample mean is approximately normal,regardless of the shape of the population. 
D) for any sized sample,it says the sampling distribution of the sample mean is approximately normal.

Question 7

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 8

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, _____% of the samples are likely to have less than 37.5% who take advantage of online customer service.

Accepted Answer

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

Question 9

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 10

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 between 0.99 and
1.01 centimeters?

Accepted Answer

0.2710 usi

Question 11

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 12

Suppose ? = 50 and $\sigma$ = 10 for a population.In a sample where n = 100 is randomly taken,95% of all possible sample means will fall between 48.04 and 51.96.

Accepted Answer

A) True 
 B)False

Question 13

If the expected value of a sample statistic is equal to the parameter it is estimating,then we call that sample statistic

Accepted Answer

A) unbiased. 
B) minimum variance. 
C) biased. 
D) random. 
A) unbiased. 
B) minimum variance. 
C) biased. 
D) random.

Question 14

The fact that the sample means are less variable than the population data can be observed from the standard error of the mean.

Accepted Answer

A) True 
 B)False

Question 15

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,the standard error of all possible sample proportions is .

Accepted Answer

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

Question 16

SCENARIO 7-5
According to an article,19% of the entire population in a developing country has high-speed access to the Internet.Random samples of size 200 are selected from the country's population.
-Referring to Scenario 7-5,the population mean of all the sample proportions is .

Accepted Answer

The answer of SCENARIO 7-5
According to an article,19% of the...

Question 17

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 18

The standard deviation of the sampling distribution of a sample proportion is where  $\pi$ is the population proportion.

Accepted Answer

A) True 
 B)False

Question 19

SCENARIO 7-3
The lifetimes of a certain brand of light bulbs are known to be normally distributed with a mean of 1,600 hours and a standard deviation of 400 hours.A random sample of 64 of these light bulbs is taken.
-Referring to Scenario 7-3,the probability is 0.20 that the sample mean lifetime differs from the population mean lifetime by at least how many hours?

Accepted Answer

64.08 hours using Ex

Question 20

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 16 fish is taken,what would the standard error of the mean weight equal?

Accepted Answer

A) 0.003 
B) 0.050 
C) 0.200 
D) 0.800 
A) 0.003 
B) 0.050 
C) 0.200 
D) 0.800

In inferential statistics,the standard error of the sample mean assesses the uncertainty or error of estimation.

A study at a college in the west coast reveals that,historically,45% of the students are minority students.The expected percentage of minority students in their next group of freshmen is .

The Central Limit Theorem is important in statistics because

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?

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.

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 between 0.99 and 1.01 centimeters?

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

Suppose ? = 50 and $\sigma$ = 10 for a population.In a sample where n = 100 is randomly taken,95% of all possible sample means will fall between 48.04 and 51.96.

If the expected value of a sample statistic is equal to the parameter it is estimating,then we call that sample statistic

The fact that the sample means are less variable than the population data can be observed from the standard error of the mean.

SCENARIO 7-5 According to an article,19% of the entire population in a developing country has high-speed access to the Internet.Random samples of size 200 are selected from the country's population. -Referring to Scenario 7-5,the population mean of all the sample proportions is .

The standard deviation of the sampling distribution of a sample proportion is where $\pi$ is the population proportion. $The standard deviation of the sampling distribution of a sample proportion is where \pi is the population proportion.$

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 16 fish is taken,what would the standard error of the mean weight equal?

Defining and Collecting Data

Organizing and Visualizing Variables

Numerical Descriptive Measures

Basic Probability

Discrete Probability Distributions

The Normal Distribution 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

Decision Making

Getting Started: Important Things to Learn First

Binomial Distribution and Normal Approximation

Filters

Exam 7: Sampling Distributions

In inferential statistics,the standard error of the sample mean assesses the uncertainty or error of estimation.

A study at a college in the west coast reveals that,historically,45% of the students are minority students.The expected percentage of minority students in their next group of freshmen is .

The Central Limit Theorem is important in statistics because

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?

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.

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 between 0.99 and 1.01 centimeters?

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

Suppose ? = 50 and σ\sigmaσ = 10 for a population.In a sample where n = 100 is randomly taken,95% of all possible sample means will fall between 48.04 and 51.96.

If the expected value of a sample statistic is equal to the parameter it is estimating,then we call that sample statistic

The fact that the sample means are less variable than the population data can be observed from the standard error of the mean.

SCENARIO 7-5 According to an article,19% of the entire population in a developing country has high-speed access to the Internet.Random samples of size 200 are selected from the country's population. -Referring to Scenario 7-5,the population mean of all the sample proportions is .

The standard deviation of the sampling distribution of a sample proportion is where π\piπ is the population proportion.

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 16 fish is taken,what would the standard error of the mean weight equal?

Defining and Collecting Data

Organizing and Visualizing Variables

Numerical Descriptive Measures

Basic Probability

Discrete Probability Distributions

The Normal Distribution 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

Decision Making

Getting Started: Important Things to Learn First

Binomial Distribution and Normal Approximation

Filters

Suppose ? = 50 and $\sigma$ = 10 for a population.In a sample where n = 100 is randomly taken,95% of all possible sample means will fall between 48.04 and 51.96.

The standard deviation of the sampling distribution of a sample proportion is where $\pi$ is the population proportion. $The standard deviation of the sampling distribution of a sample proportion is where \pi is the population proportion.$