Question 1

Which factor will not affect the width of a confidence interval constructed to estimate the difference between two population means?

Accepted Answer

A)    
B)  the size of SX and SY 
C)  the size of nX and nY 
D)  the level of confidence 
A)    
B)  the size of SX and SY 
C)  the size of nX and nY 
D)  the level of confidence

Question 2

The directors of a charitable organization wish to compare the effectiveness of two programs for training their phone solicitors. Thirty-one volunteers are randomly divided into two groups. Group A is trained using method A and Group B using method B. The following are the results for this year's fund drive (in dollars per volunteer):

Accepted Answer

The answer of The directors of a charitable organization wish...

Question 3

The rule for constructing a confidence interval of the population mean is

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)

Question 4

A confidence interval for   
 is highly preferable to a point estimate when

Accepted Answer

A)  n is small 
B)  n is large 
C)  r is small 
D)    is large 
A)  n is small 
B)  n is large 
C)  r is small 
D)    is large

Question 5

Which statement is true?

Accepted Answer

A)  Any problem in hypothesis testing could be handled through estimation 
B)  Any problem in estimation could be handled through hypothesis testing 
C)  Hypothesis testing and estimation are mutually interchangeable 
D)  Hypothesis testing and estimation are never interchangeable 
A)  Any problem in hypothesis testing could be handled through estimation 
B)  Any problem in estimation could be handled through hypothesis testing 
C)  Hypothesis testing and estimation are mutually interchangeable 
D)  Hypothesis testing and estimation are never interchangeable

Question 6

We construct a 90% confidence interval for P, the population proportion of freshmen able to pass a proposed English placement exam. The sample interval runs from .43 to .49. This tells us that

Accepted Answer

A)  there is a 90% probability that P falls between .43 and .49 
B)  there is a 90% probability that an interval so constructed will include P 
C)  90% of the time P will fall between .43 and .49 
D)  90% of intervals so constructed will fall between .43 and .49 
A)  there is a 90% probability that P falls between .43 and .49 
B)  there is a 90% probability that an interval so constructed will include P 
C)  90% of the time P will fall between .43 and .49 
D)  90% of intervals so constructed will fall between .43 and .49

Question 7

For a random sample of 100 cases,   
 and
   
. The 95% confidence interval for 
   
 would run approximately from

Accepted Answer

A)  143 to 157 
B)  131 to 169 
C)  147 to 153 
D)  138 to 162 
A)  143 to 157 
B)  131 to 169 
C)  147 to 153 
D)  138 to 162

Question 8

A 95% confidence interval for   
 runs from -2 to +6. From this we can infer that

Accepted Answer

A)    is probably greater than   
B)    is probably greater than   
C)  there may be no difference at all between   and   
D)  the difference between   and   is not very large in any case 
A)    is probably greater than   
B)    is probably greater than   
C)  there may be no difference at all between   and   
D)  the difference between   and   is not very large in any case

Which factor will not affect the width of a confidence interval constructed to estimate the difference between two population means?

The rule for constructing a confidence interval of the population mean is

A confidence interval for is highly preferable to a point estimate when

Which statement is true?

We construct a 90% confidence interval for P, the population proportion of freshmen able to pass a proposed English placement exam. The sample interval runs from .43 to .49. This tells us that

For a random sample of 100 cases, and . The 95% confidence interval for would run approximately from

A 95% confidence interval for runs from -2 to +6. From this we can infer that

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

Random Sampling and Sampling Distributions

Introduction to Statistical Inference: Testing Hypotheses About Single Means Z and T

Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power

Testing Hypotheses About the Difference Between Two Independent Groups

Testing for a Difference

Inference About Correlation Coefficients

Testing for Differences Among Three or More Groups: One-Way Analysis of Variance and Some Alternatives

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

Filters

Exam 17: An Alternative to Hypothesis Testing: Confidence Intervals

Which factor will not affect the width of a confidence interval constructed to estimate the difference between two population means?

The rule for constructing a confidence interval of the population mean is

A confidence interval for is highly preferable to a point estimate when

Which statement is true?

We construct a 90% confidence interval for P, the population proportion of freshmen able to pass a proposed English placement exam. The sample interval runs from .43 to .49. This tells us that

For a random sample of 100 cases, and . The 95% confidence interval for would run approximately from

A 95% confidence interval for runs from -2 to +6. From this we can infer that

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

Random Sampling and Sampling Distributions

Introduction to Statistical Inference: Testing Hypotheses About Single Means Z and T

Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power

Testing Hypotheses About the Difference Between Two Independent Groups

Testing for a Difference

Inference About Correlation Coefficients

Testing for Differences Among Three or More Groups: One-Way Analysis of Variance and Some Alternatives

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

Filters