Question 1

When we use the .05 level of significance,

Accepted Answer

A)  we will be right 5% of the time 
B)  we will be wrong 5% of the time 
C)  we will reject true null hypotheses 5% of the time 
D)  we will retain false null hypotheses 5% of the time 
A)  we will be right 5% of the time 
B)  we will be wrong 5% of the time 
C)  we will reject true null hypotheses 5% of the time 
D)  we will retain false null hypotheses 5% of the time

Question 2

If   
 and 
   
 and the critical values of z are 
   
 when 
   
 and 
   
 when 
   
 what would we do if our calculated value of z were +1.80?

Accepted Answer

A)  retain   
 at 
   
 but reject it at 
   
B)  retain   
 at   
 
 and retain it at 
   
C)  reject   
 at 
   
 but retain it at 
   
D)  reject   
 at   
 
 and reject it at 
   
A)  retain   
 at 
   
 but reject it at 
   
B)  retain   
 at   
 
 and retain it at 
   
C)  reject   
 at 
   
 but retain it at 
   
D)  reject   
 at   
 
 and reject it at

Question 3

Translate each of the following statements into symbolic form involving a p-value:
(a)  "The results did not reach significance at the .05 level."
(b)"The sample mean fell significantly below 50 at the .01 level."
(c)"The results were significant at the .001 level."
(d)"The difference between the sample mean and the hypothesized value of 100 barely missed significance at the .10 level."

Accepted Answer

(a)
@#IMG-DLM&

(b

Question 4

Which of the following sets of values allows us to calculate t required to test a null hypothesis about a mean?

Accepted Answer

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

Question 5

The task in a particular concept-formation experiment is to discover, through trial and error, the correct sequence in which to press a row of buttons. It is determined from the nature of the task that the average score obtained by random guessing alone would be 20 correct out of a standard series of trials. The following are the scores for a sample of volunteer college students: 31, 24, 21, 25, 32. You wish to determine whether such subjects do better, on the average, than expected by just guessing.(a)Set up 
   
 and 
   
(b)Determine the critical value(s) of 
   
(c) Perform the statistical test.?
(d) Draw final conclusions.

Accepted Answer

(a)  
 @#IMG-DLM& 
 (b) 
 @#IMG-DLM& (c) 
 @#IMG-DLM& 
 @#IMG-DLM& 
re

Question 6

The region of rejection is determined by

Accepted Answer

A)  the level of significance 
B)  the nature of the alternative hypothesis 
C)  both of the above 
D)  neither of the above 
A)  the level of significance 
B)  the nature of the alternative hypothesis 
C)  both of the above 
D)  neither of the above

Question 7

The t distribution model is designed to correct for errors introduced when

Accepted Answer

A)  the population standard deviation is estimated from the sample 
B)  sampling is not random 
C)  sampling is without replacement 
D)  the distribution of sample means is skewed 
A)  the population standard deviation is estimated from the sample 
B)  sampling is not random 
C)  sampling is without replacement 
D)  the distribution of sample means is skewed

Question 8

When the criterion is the 5% significance level and the decision is to retain the null hypothesis, this implies that

Accepted Answer

A)  the null hypothesis is true 
B)  the null hypothesis is probable true 
C)  the probability is .95 that the null hypothesis is true 
D)  the null hypothesis could be true, but so could a number of other null hypotheses 
A)  the null hypothesis is true 
B)  the null hypothesis is probable true 
C)  the probability is .95 that the null hypothesis is true 
D)  the null hypothesis could be true, but so could a number of other null hypotheses

Question 9

If the outcome of a test is significant at the .01 level, it

Accepted Answer

A)  will also be significant at the .05 level 
B)  will not be significant at the .05 level 
C)  may be significant at the .05 level 
D)  will probably not be significant at the .05 level 
A)  will also be significant at the .05 level 
B)  will not be significant at the .05 level 
C)  may be significant at the .05 level 
D)  will probably not be significant at the .05 level

Question 10

For inference about means, we need to know the value of the standard deviation of the population of scores. We estimate its value by calculating

Accepted Answer

A)    
B)    
C)  either of the above 
D)  neither of the above 
A)    
B)    
C)  either of the above 
D)  neither of the above

Question 11

When   
 is assigned a very small value,

Accepted Answer

A)  we can be more certain of our conclusions, whatever the circumstances 
B)  there is greater risk of rejecting the null hypothesis when it is true 
C)  we should use a two-tailed test 
D)  we may overlook a real difference more easily than otherwise 
A)  we can be more certain of our conclusions, whatever the circumstances 
B)  there is greater risk of rejecting the null hypothesis when it is true 
C)  we should use a two-tailed test 
D)  we may overlook a real difference more easily than otherwise

Question 12

For the following sample of three scores: 2, 4, 6, the best estimate of the population standard deviation is

Accepted Answer

A)  2 
B)    
C)  4 
D)    
A)  2 
B)    
C)  4 
D)

Question 13

Which of the following has the characteristic of a null hypothesis?

Accepted Answer

A)    
B)    
C)    
D)  all of the above 
A)    
B)    
C)    
D)  all of the above

Question 14

Which of the following is a parameter?

Accepted Answer

A)    
B)    
C)  r 
D)  S 
A)    
B)    
C)  r 
D)  S

Question 15

We should probably use a higher value of   
 than usual when

Accepted Answer

A)  n is small 
B)  we want to be quite confident that the null hypothesis should be rejected when we do so 
C)  we want to retain for further consideration a possible (if not proven) difference 
D)  the test is directional 
A)  n is small 
B)  we want to be quite confident that the null hypothesis should be rejected when we do so 
C)  we want to retain for further consideration a possible (if not proven) difference 
D)  the test is directional

Question 16

In ordinary small sample tests of a hypothesis about a single mean, the normal curve is not an adequate model for evaluating the outcome. The factor that is responsible is that

Accepted Answer

A)    
 varies too much from sample to sample 
B)  the sampling distribution of   
 is not normal for small samples 
C)    
 is a variable 
D)    
 is biased for small samples 
A)    
 varies too much from sample to sample 
B)  the sampling distribution of   
 is not normal for small samples 
C)    
 is a variable 
D)    
 is biased for small samples

Question 17

In the following problem, locate the regions of rejection and the sample results on a rough distribution sketch; perform the test; and give final conclusions about the value of

sample: 15, 13, 12, 8, 15, 12.

Accepted Answer

@#IMG-DLM& ;
 retain

Question 18

An investigator retains all null hypotheses; some are true and some are false. What is   
?

Accepted Answer

A)  1 
B)  1/2 
C)  0 
D)  cannot be determined 
A)  1 
B)  1/2 
C)  0 
D)  cannot be determined

Question 19

In testing a hypothesis about a mean, the mean of the sampling distribution is taken to be

Accepted Answer

A)  the value stated in   
B)  the value stated in   
C)  either of the above 
D)  neither of the above 
A)  the value stated in   
B)  the value stated in   
C)  either of the above 
D)  neither of the above

Question 20

When   
is assigned a relatively large value,

Accepted Answer

A)  we can be more certain of our conclusions, whatever the circumstances 
B)  we should use a smaller n 
C)  we should use a two-tailed test 
D)  there is a greater risk of rejecting the null hypothesis when it is true 
A)  we can be more certain of our conclusions, whatever the circumstances 
B)  we should use a smaller n 
C)  we should use a two-tailed test 
D)  there is a greater risk of rejecting the null hypothesis when it is true

When we use the .05 level of significance,

If and and the critical values of z are when and when what would we do if our calculated value of z were +1.80?

Which of the following sets of values allows us to calculate t required to test a null hypothesis about a mean?

The region of rejection is determined by

The t distribution model is designed to correct for errors introduced when

When the criterion is the 5% significance level and the decision is to retain the null hypothesis, this implies that

If the outcome of a test is significant at the .01 level, it

For inference about means, we need to know the value of the standard deviation of the population of scores. We estimate its value by calculating

When is assigned a very small value,

For the following sample of three scores: 2, 4, 6, the best estimate of the population standard deviation is

Which of the following has the characteristic of a null hypothesis?

Which of the following is a parameter?

We should probably use a higher value of than usual when

In ordinary small sample tests of a hypothesis about a single mean, the normal curve is not an adequate model for evaluating the outcome. The factor that is responsible is that

In the following problem, locate the regions of rejection and the sample results on a rough distribution sketch; perform the test; and give final conclusions about the value of sample: 15, 13, 12, 8, 15, 12.

An investigator retains all null hypotheses; some are true and some are false. What is ?

In testing a hypothesis about a mean, the mean of the sampling distribution is taken to be

When is assigned a relatively large value,

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

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

An Alternative to Hypothesis Testing: Confidence Intervals

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

When we use the .05 level of significance,

If and and the critical values of z are when and when what would we do if our calculated value of z were +1.80?

Which of the following sets of values allows us to calculate t required to test a null hypothesis about a mean?

The region of rejection is determined by

The t distribution model is designed to correct for errors introduced when

When the criterion is the 5% significance level and the decision is to retain the null hypothesis, this implies that

If the outcome of a test is significant at the .01 level, it

For inference about means, we need to know the value of the standard deviation of the population of scores. We estimate its value by calculating

When is assigned a very small value,

For the following sample of three scores: 2, 4, 6, the best estimate of the population standard deviation is

Which of the following has the characteristic of a null hypothesis?

Which of the following is a parameter?

We should probably use a higher value of than usual when

In ordinary small sample tests of a hypothesis about a single mean, the normal curve is not an adequate model for evaluating the outcome. The factor that is responsible is that

In the following problem, locate the regions of rejection and the sample results on a rough distribution sketch; perform the test; and give final conclusions about the value of sample: 15, 13, 12, 8, 15, 12.

An investigator retains all null hypotheses; some are true and some are false. What is ?

In testing a hypothesis about a mean, the mean of the sampling distribution is taken to be

When is assigned a relatively large value,

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

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

An Alternative to Hypothesis Testing: Confidence Intervals

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