Question 1

The standard error of the mean for a sample of 100 is 30.In order to cut the standard error of the mean to 15,we would

Accepted Answer

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

Question 2

One key requirement of sampling in inferential statistics is that

Accepted Answer

A) the sample size must be proportional to the population size. 
B) the members of the sample must be selected systematically. 
C) the sample size must be determined in advance. 
D) the sample must include representation of all major groups within the population. 
A) the sample size must be proportional to the population size. 
B) the members of the sample must be selected systematically. 
C) the sample size must be determined in advance. 
D) the sample must include representation of all major groups within the population.

Question 3

The standard error of the population proportion will become larger

Accepted Answer

A) as population proportion approaches 0. 
B) as population proportion approaches 0.50. 
C) as the sample size increases. 
D) as population proportion approaches 1.00. 
A) as population proportion approaches 0. 
B) as population proportion approaches 0.50. 
C) as the sample size increases. 
D) as population proportion approaches 1.00.

Question 4

Instruction 7-5
The manager of the customer service division of a major consumer electronics company is interested in determining whether the customers who have purchased a DVD player made by the company over the past 12 months are satisfied with their products.
-Referring to Instruction 7-5,the manager decides to ask a sample of customers,who have bought a DVD player made by the company and filed a complaint over the past year,to fill in a survey about whether they are satisfied with the product.This method will most likely suffer from

Accepted Answer

A) non-probability sampling. 
B) measurement error. 
C) non-response error. 
D) coverage error. 
A) non-probability sampling. 
B) measurement error. 
C) non-response error. 
D) coverage error.

Question 5

Instruction 7-6
According to an article,19% of the entire Australian population have high-speed access to the Internet.Random samples of size 200 are selected from the Australian population.
-Referring to Instruction 7-6,the standard error of all the sample proportions is ________.

Accepted Answer

The answer of Instruction 7-6
According to an article,19% of the...

Question 6

A study at a university in New South Wales reveals that,historically,45% of their students are minority students.If random samples of size 75 are selected,80% of the samples will have less than ________% of minority students.

Accepted Answer

The answer of A study at a university in New...

Question 7

An unbiased estimator will have a value,on average across samples,equal to the population parameter value.

Accepted Answer

A) True 
 B)False

Question 8

The question: "Have you used any form of illicit drugs over the past 2 months?" will most likely result in measurement error if the question is answered.

Accepted Answer

A) True 
 B)False

Question 9

In inferential statistics,the sampling distribution of the sample mean represents ________.

Accepted Answer

the distribution of

Question 10

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

Accepted Answer

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

Question 11

Suppose μ = 50 and σ = 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 12

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

Accepted Answer

A) True 
 B)False

Question 13

A population frame for a survey contains a listing of 72,345 names.Using a table of random numbers,how many digits will the code numbers for each member of your population contain?

Accepted Answer

A) 4 
B) 5 
C) 6 
D) 3 
A) 4 
B) 5 
C) 6 
D) 3

Question 14

The amount of bleach a machine pours into bottles has a mean of 1080 grams with a standard deviation of 4.5 grams.Suppose we take a random sample of 36 bottles filled by this machine.The sampling distribution of the sample mean will be approximately normal only if the population sampled is normal.

Accepted Answer

A) True 
 B)False

Question 15

If the amount of petrol purchased per car at a large petrol station has a population mean of $15 and a population standard deviation of $4 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.

Accepted Answer

A) True 
 B)False

Question 16

A manufacturer of power tools claims that the average 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 probability that the sample mean will be less than 82 minutes is ________.

Accepted Answer

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

Question 17

The lecturer of a business statistics class wanted to find out the average amount of time per week her students spent studying for the class.She divided the fifty students on her class list into ten groups starting from the first student on the roster.The first student was randomly selected from the first group.Then every tenth student was selected from the remaining students.This is an example of a cluster sample.

Accepted Answer

A) True 
 B)False

Question 18

Which of the following types of samples can you use if you want to make valid statistical inferences from a sample to a population?

Accepted Answer

A) A probability sample. 
B) A quota sample. 
C) A convenience sample. 
D) A judgement sample. 
A) A probability sample. 
B) A quota sample. 
C) A convenience sample. 
D) A judgement sample.

Question 19

A telemarketer set the company's computerised dialling system to contact every 25th person listed in the local telephone directory.What sampling method was used?

Accepted Answer

A) Simple random sample. 
B) Systematic sample. 
C) Stratified sample. 
D) Cluster sample. 
A) Simple random sample. 
B) Systematic sample. 
C) Stratified sample. 
D) Cluster sample.

Question 20

If the expectation of a sampling distribution is located at the parameter it is estimating,then we call that sampling distribution

Accepted Answer

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

The standard error of the mean for a sample of 100 is 30.In order to cut the standard error of the mean to 15,we would

One key requirement of sampling in inferential statistics is that

The standard error of the population proportion will become larger

Instruction 7-6 According to an article,19% of the entire Australian population have high-speed access to the Internet.Random samples of size 200 are selected from the Australian population. -Referring to Instruction 7-6,the standard error of all the sample proportions is ________.

A study at a university in New South Wales reveals that,historically,45% of their students are minority students.If random samples of size 75 are selected,80% of the samples will have less than ________% of minority students.

An unbiased estimator will have a value,on average across samples,equal to the population parameter value.

The question: "Have you used any form of illicit drugs over the past 2 months?" will most likely result in measurement error if the question is answered.

In inferential statistics,the sampling distribution of the sample mean represents ________.

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

Suppose μ = 50 and σ= 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 sample proportion is an unbiased estimate of the population proportion.

A population frame for a survey contains a listing of 72,345 names.Using a table of random numbers,how many digits will the code numbers for each member of your population contain?

The amount of bleach a machine pours into bottles has a mean of 1080 grams with a standard deviation of 4.5 grams.Suppose we take a random sample of 36 bottles filled by this machine.The sampling distribution of the sample mean will be approximately normal only if the population sampled is normal.

If the amount of petrol purchased per car at a large petrol station has a population mean of $15 and a population standard deviation of $4 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.

Which of the following types of samples can you use if you want to make valid statistical inferences from a sample to a population?

A telemarketer set the company's computerised dialling system to contact every 25th person listed in the local telephone directory.What sampling method was used?

If the expectation of a sampling distribution is located at the parameter it is estimating,then we call that sampling distribution

Introduction and Data Collection

Presenting Data in Tables and Charts

Numerical Descriptive Measures

Basic Probability

Some Important Discrete Probability Distributions

The Normal Distribution and Other Continuous Distributions

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Hypothesis Testing: Two Sample Tests

Analysis of Variance

Simple Linear Regression

Introduction to Multiple Regression

Time-Series Forecasting and Index Numbers

Chi-Square Tests

Multiple Regression Model Building

Decision Making

Statistical Applications in Quality and Productivity Management

Further Non-Parametric Tests

Filters

Exam 7: Sampling Distributions

The standard error of the mean for a sample of 100 is 30.In order to cut the standard error of the mean to 15,we would

One key requirement of sampling in inferential statistics is that

The standard error of the population proportion will become larger

Instruction 7-6 According to an article,19% of the entire Australian population have high-speed access to the Internet.Random samples of size 200 are selected from the Australian population. -Referring to Instruction 7-6,the standard error of all the sample proportions is ________.

A study at a university in New South Wales reveals that,historically,45% of their students are minority students.If random samples of size 75 are selected,80% of the samples will have less than ________% of minority students.

An unbiased estimator will have a value,on average across samples,equal to the population parameter value.

The question: "Have you used any form of illicit drugs over the past 2 months?" will most likely result in measurement error if the question is answered.

In inferential statistics,the sampling distribution of the sample mean represents ________.

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

Suppose μ = 50 and σ = 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 sample proportion is an unbiased estimate of the population proportion.

A population frame for a survey contains a listing of 72,345 names.Using a table of random numbers,how many digits will the code numbers for each member of your population contain?

The amount of bleach a machine pours into bottles has a mean of 1080 grams with a standard deviation of 4.5 grams.Suppose we take a random sample of 36 bottles filled by this machine.The sampling distribution of the sample mean will be approximately normal only if the population sampled is normal.

If the amount of petrol purchased per car at a large petrol station has a population mean of $15 and a population standard deviation of $4 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.

Which of the following types of samples can you use if you want to make valid statistical inferences from a sample to a population?

A telemarketer set the company's computerised dialling system to contact every 25th person listed in the local telephone directory.What sampling method was used?

If the expectation of a sampling distribution is located at the parameter it is estimating,then we call that sampling distribution

Introduction and Data Collection

Presenting Data in Tables and Charts

Numerical Descriptive Measures

Basic Probability

Some Important Discrete Probability Distributions

The Normal Distribution and Other Continuous Distributions

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Hypothesis Testing: Two Sample Tests

Analysis of Variance

Simple Linear Regression

Introduction to Multiple Regression

Time-Series Forecasting and Index Numbers

Chi-Square Tests

Multiple Regression Model Building

Decision Making

Statistical Applications in Quality and Productivity Management

Further Non-Parametric Tests

Filters

Suppose μ = 50 and σ= 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.