Question 1

Confidence limits are defined as _________.

Accepted Answer

A)  the highest and lowest score in the sample set of scores 
B)  the values that lie outside of the confidence interval 
C)  the values that bound the confidence interval 
D)  the values that lie within the confidence interval 
A)  the highest and lowest score in the sample set of scores 
B)  the values that lie outside of the confidence interval 
C)  the values that bound the confidence interval 
D)  the values that lie within the confidence interval

Question 2

The 95% confidence interval arrived at from a particular experiment is 72-79. This means that _________.

Accepted Answer

A)  the probability is 0.95 that µ falls between 72-79 
B)  the probability is 0.95 that the interval 72-79 contains   
C)  the probability is 0.95 that the interval 72-79 contains µ 
D)  a and c 
A)  the probability is 0.95 that µ falls between 72-79 
B)  the probability is 0.95 that the interval 72-79 contains   
C)  the probability is 0.95 that the interval 72-79 contains µ 
D)  a and c

Question 3

measures both the size of effect and the direction of the effect.

Accepted Answer

A) True 
 B)False

Question 4

For a given N , the interval that bounds the population mean at the 99% confidence level is _________ that which bounds the population mean at the 95% confidence level.

Accepted Answer

A)  equal to 
B)  greater than 
C)  less than 
D)  can t be determined without knowing   
A)  equal to 
B)  greater than 
C)  less than 
D)  can t be determined without knowing

Question 5

The t distribution is a family of curves that vary with the degrees of freedom.

Accepted Answer

A) True 
 B)False

Question 6

The larger the sample size the more likely   is close to .

Accepted Answer

A) True 
 B)False

Question 7

For a two-tailed test, if | t obt | ≥ | t crit |, reject H 0.

Accepted Answer

A) True 
 B)False

Question 8

Define sampling distribution of t .

Accepted Answer

The sampling distribution of the statist

Question 9

If r = 0.84 and N = 5, the value of t obt for the test of the significance of r is _________.

Accepted Answer

A)  1.96 
B)  2.40 
C)  2.68 
D)  3.46 
A)  1.96 
B)  2.40 
C)  2.68 
D)  3.46

Question 10

If we have to estimate s , we should use the z test.

Accepted Answer

A) True 
 B)False

Question 11

The sample mean is an example of _________.

Accepted Answer

A)  interval estimation 
B)  point estimation 
C)  confidence point 
D)  confidence numbers 
A)  interval estimation 
B)  point estimation 
C)  confidence point 
D)  confidence numbers

Question 12

The degrees of freedom for the t test for single samples are _________.

Accepted Answer

A)  N 
B)  N - 1 
C)  N - 2 
D)  depends on alpha 
A)  N 
B)  N - 1 
C)  N - 2 
D)  depends on alpha

Question 13

The 95% confidence interval is defined as _________.

Accepted Answer

A)  an interval such that we are 95% confident that the population value lies within the interval 
B)  an interval such that the probability is 0.95 that the interval contains the population value 
C)  an interval such that we can reject H 0 at á = 0.05 
D)  a and b 
A)  an interval such that we are 95% confident that the population value lies within the interval 
B)  an interval such that the probability is 0.95 that the interval contains the population value 
C)  an interval such that we can reject H 0 at á = 0.05 
D)  a and b

Question 14

You believe that sleep affects memory. Having collected data on a large number of subjects who are getting ordinary sleep, you know that the mean digit span of this population is 5.6 digits. To test your hypothesis you measure the digit span of 15 volunteers randomly selected from the population, after depriving them of one night's sleep. The results show = 4.1 and s = 1.4.

Accepted Answer

The answer of You believe that sleep affects memory. Having...

Question 15

In a correlated groups experiment, if we must estimate the population standard deviation to determine the significance of the sample results, the appropriate statistical test is _________.

Accepted Answer

A)  t test 
B)  sign test 
C)  z test 
D)  none of these 
A)  t test 
B)  sign test 
C)  z test 
D)  none of these

Question 16

At a = 0.05 there is more area in the critical region of rejection for the t distribution than for the z distribution.

Accepted Answer

A) True 
 B)False

Question 17

For the t test of the significance of the correlation coefficient, the statistic of interest is   .

Accepted Answer

A) True 
 B)False

Question 18

determines the confidence interval for the population mean.

Accepted Answer

A) True 
 B)False

Question 19

The sampling distribution of t differs from the sampling distribution of z in that _________.

Accepted Answer

A)  there is only one sampling distribution of z (the normal distribution) for all N , while there are many sampling distributions for t , depending on sample size. 
B)  the sampling distribution of z is more narrow, except when N equals infinity. 
C)  the means of the two distributions are different 
D)  all of these 
E)  a and b 
A)  there is only one sampling distribution of z (the normal distribution) for all N , while there are many sampling distributions for t , depending on sample size. 
B)  the sampling distribution of z is more narrow, except when N equals infinity. 
C)  the means of the two distributions are different 
D)  all of these 
E)  a and b

Question 20

For the distribution of   to be normally distributed, the distribution of X must be normally distributed.

Accepted Answer

A) True 
 B)False

Confidence limits are defined as _________.

The 95% confidence interval arrived at from a particular experiment is 72-79. This means that _________.

measures both the size of effect and the direction of the effect.

For a given N , the interval that bounds the population mean at the 99% confidence level is _________ that which bounds the population mean at the 95% confidence level.

The t distribution is a family of curves that vary with the degrees of freedom.

The larger the sample size the more likely is close to .

For a two-tailed test, if | t obt | ≥ | t crit |, reject H ₀.

Define sampling distribution of t .

If r = 0.84 and N = 5, the value of t obt for the test of the significance of r is _________.

If we have to estimate s , we should use the z test.

The sample mean is an example of _________.

The degrees of freedom for the t test for single samples are _________.

The 95% confidence interval is defined as _________.

In a correlated groups experiment, if we must estimate the population standard deviation to determine the significance of the sample results, the appropriate statistical test is _________.

At a = 0.05 there is more area in the critical region of rejection for the t distribution than for the z distribution.

For the t test of the significance of the correlation coefficient, the statistic of interest is .

determines the confidence interval for the population mean.

The sampling distribution of t differs from the sampling distribution of z in that _________.

For the distribution of to be normally distributed, the distribution of X must be normally distributed.

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Correlation

Linear Regression

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters

Exam 13: Students T Test for Single Samples

Confidence limits are defined as _________.

The 95% confidence interval arrived at from a particular experiment is 72-79. This means that _________.

measures both the size of effect and the direction of the effect.

For a given N , the interval that bounds the population mean at the 99% confidence level is _________ that which bounds the population mean at the 95% confidence level.

The t distribution is a family of curves that vary with the degrees of freedom.

The larger the sample size the more likely is close to .

For a two-tailed test, if | t obt | ≥ | t crit |, reject H 0.

Define sampling distribution of t .

If r = 0.84 and N = 5, the value of t obt for the test of the significance of r is _________.

If we have to estimate s , we should use the z test.

The sample mean is an example of _________.

The degrees of freedom for the t test for single samples are _________.

The 95% confidence interval is defined as _________.

In a correlated groups experiment, if we must estimate the population standard deviation to determine the significance of the sample results, the appropriate statistical test is _________.

At a = 0.05 there is more area in the critical region of rejection for the t distribution than for the z distribution.

For the t test of the significance of the correlation coefficient, the statistic of interest is .

determines the confidence interval for the population mean.

The sampling distribution of t differs from the sampling distribution of z in that _________.

For the distribution of to be normally distributed, the distribution of X must be normally distributed.

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Correlation

Linear Regression

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters

For a two-tailed test, if | t obt | ≥ | t crit |, reject H ₀.