Question 1

In a 95 percent confidence interval:

Accepted Answer

A) The 95 percent is the confidence level. 
B) Shows that there is a 95 percent probability that the true population mean falls somewhere between plus and minus 1.96 standard errors of the sample mean. 
C) There is a .05 probability of the confidence interval being wrong. 
D) All of these. 
A) The 95 percent is the confidence level. 
B) Shows that there is a 95 percent probability that the true population mean falls somewhere between plus and minus 1.96 standard errors of the sample mean. 
C) There is a .05 probability of the confidence interval being wrong. 
D) All of these. D

Question 2

Suppose a survey is conducted of all of the licensed therapists in Illinois regarding their attitudes about evidence-based practice.If the survey seeks to generalize about therapists' attitudes nationwide, then for this study the survey participants comprise a:

Accepted Answer

A) Population. 
B) Sample. 
C) Both a population and a sample 
D) Neither a population nor a sample 
A) Population. 
B) Sample. 
C) Both a population and a sample 
D) Neither a population nor a sample B

Question 3

The term parameter

Accepted Answer

A) Applies only to sample statistics. 
B) Is synonymous with the term perimeter. 
C) Is used instead of the term statistic when referring to a summary statistic for an entire population. 
D) Can be used interchangeably with the term statistic regardless of whether we are referring to a sample or a population. 
A) Applies only to sample statistics. 
B) Is synonymous with the term perimeter. 
C) Is used instead of the term statistic when referring to a summary statistic for an entire population. 
D) Can be used interchangeably with the term statistic regardless of whether we are referring to a sample or a population. C

Question 4

Theoretical sampling distributions enable us to estimate our likely degree of sampling error.

Accepted Answer

A) True 
 B)False

Question 5

Suppose you flipped a coin three times.The probability of getting three heads would be:

Accepted Answer

A) .167 
B) 125. 
C) ½ times 1/3 times 1/4 
D) ½ times ¼ times 1/8 
A) .167 
B) 125. 
C) ½ times 1/3 times 1/4 
D) ½ times ¼ times 1/8

Question 6

The standard error equals the standard deviation of the sample divided by the square root of the sample size.

Accepted Answer

A) True 
 B)False

Question 7

According to the central limit theorem:

Accepted Answer

A) As the size of the sample increases, the theoretical sampling distribution based on that sample size will become more skewed. 
B) As the size of the sample increases, its mean will become increasingly closer to the population mean. 
C) As the size of the sample increases, its mean will become farther away from the population mean 
D) None of these are correct. 
A) As the size of the sample increases, the theoretical sampling distribution based on that sample size will become more skewed. 
B) As the size of the sample increases, its mean will become increasingly closer to the population mean. 
C) As the size of the sample increases, its mean will become farther away from the population mean 
D) None of these are correct.

Question 8

As sample size increases:

Accepted Answer

A) The probability of flukes in random selection or random assignment increases. 
B) The probability of flukes in random selection or random assignment decreases. 
C) Sampling error increases. 
D) Sampling error is unaffected 
A) The probability of flukes in random selection or random assignment increases. 
B) The probability of flukes in random selection or random assignment decreases. 
C) Sampling error increases. 
D) Sampling error is unaffected

Question 9

If your caseload is comprised of 10 clients, and your agency's total caseload contains 100 clients, and your agency director chooses one client at random to serve as a consumer representative on your agency's board, then the probability that one of your clients will be chosen is.05.

Accepted Answer

A) True 
 B)False

Question 10

If the sample size is 4000, and the standard deviation of the sample is 200, then the standard error is:

Accepted Answer

A) 1 
B) 20 
C) 200 
D) 2 
A) 1 
B) 20 
C) 200 
D) 2

Question 11

Inferential statistics can be used to generalize from sample statistics to population parameters.

Accepted Answer

A) True 
 B)False

Question 12

If the sample mean equals 100, and the standard error equals 5, then we can be 95 percent confident that the population mean falls somewhere between 95 and 105.

Accepted Answer

A) True 
 B)False

Question 13

The term parameter is used instead of statistic when referring to a summary statistic for an entire population.

Accepted Answer

A) True 
 B)False

Question 14

The term chance refers to sampling errors that inevitably occur in random sampling.

Accepted Answer

A) True 
 B)False

Question 15

The term chance:

Accepted Answer

A) Refers to sampling errors that result from biased sampling procedures. 
B) Refers to sampling errors that inevitably occur in random sampling. 
C) Refers to errors that are avoided when random sampling is used. 
D) None of these are true. 
A) Refers to sampling errors that result from biased sampling procedures. 
B) Refers to sampling errors that inevitably occur in random sampling. 
C) Refers to errors that are avoided when random sampling is used. 
D) None of these are true.

Question 16

As sample size increases, the probability of flukes in random selection or random assignment increases.

Accepted Answer

A) True 
 B)False

Question 17

The standard error:

Accepted Answer

A) Equals the standard deviation of the sample divided by the square root of the sample size. 
B) Equals the standard deviation of the population divided by the standard deviation of the sample. 
C) Equals the standard deviation of the sample multiplied by the square root of the sample size. 
D) Equals the standard deviation of the sample divided by the sample size. 
A) Equals the standard deviation of the sample divided by the square root of the sample size. 
B) Equals the standard deviation of the population divided by the standard deviation of the sample. 
C) Equals the standard deviation of the sample multiplied by the square root of the sample size. 
D) Equals the standard deviation of the sample divided by the sample size.

Question 18

Suppose your agency serves 100 clients, and 40 of them are African Americans.The probability of selecting two African Americans on your first two random picks would be:

Accepted Answer

A) .16. 
B) .20 
C) .40 times 39/99 
D) .80 
A) .16. 
B) .20 
C) .40 times 39/99 
D) .80

Question 19

Inferential statistics:

Accepted Answer

A) Are limited to descriptively summarizing a study's data. 
B) Pertain to a study's sample, only, and not to any larger population. 
C) Can be used to assess the probability that differences between groups can be attributed to sampling error. 
D) Assess the likelihood that two groups are equivalent. 
A) Are limited to descriptively summarizing a study's data. 
B) Pertain to a study's sample, only, and not to any larger population. 
C) Can be used to assess the probability that differences between groups can be attributed to sampling error. 
D) Assess the likelihood that two groups are equivalent.

Question 20

If the probability that Jack will be assigned to the experimental group is .50, and the probability that Jill will be assigned to the experimental group is also .50, then the probability that both Jack and Jill will be assigned to the experimental group is .50.

Accepted Answer

A) True 
 B)False

In a 95 percent confidence interval:

Suppose a survey is conducted of all of the licensed therapists in Illinois regarding their attitudes about evidence-based practice.If the survey seeks to generalize about therapists' attitudes nationwide, then for this study the survey participants comprise a:

The term parameter

Theoretical sampling distributions enable us to estimate our likely degree of sampling error.

Suppose you flipped a coin three times.The probability of getting three heads would be:

The standard error equals the standard deviation of the sample divided by the square root of the sample size.

According to the central limit theorem:

As sample size increases:

If your caseload is comprised of 10 clients, and your agency's total caseload contains 100 clients, and your agency director chooses one client at random to serve as a consumer representative on your agency's board, then the probability that one of your clients will be chosen is.05.

If the sample size is 4000, and the standard deviation of the sample is 200, then the standard error is:

Inferential statistics can be used to generalize from sample statistics to population parameters.

If the sample mean equals 100, and the standard error equals 5, then we can be 95 percent confident that the population mean falls somewhere between 95 and 105.

The term parameter is used instead of statistic when referring to a summary statistic for an entire population.

The term chance refers to sampling errors that inevitably occur in random sampling.

The term chance:

As sample size increases, the probability of flukes in random selection or random assignment increases.

The standard error:

Suppose your agency serves 100 clients, and 40 of them are African Americans.The probability of selecting two African Americans on your first two random picks would be:

Inferential statistics:

If the probability that Jack will be assigned to the experimental group is .50, and the probability that Jill will be assigned to the experimental group is also .50, then the probability that both Jack and Jill will be assigned to the experimental group is .50.

Why Study Statistics

Use of Statistics in Evidence-Based Practice

Review of Key Research Methodology Concepts and Terms

Frequency Distributions

Graphs and Charts

Measures of Central Tendency

Measures of Dispersion

Types of Distributions

Z-Scores, Percentiles and Effect Size

Hypothesis Testing and Statistical Significance

Type I and Type Ii Errors

Interpreting the Strength and Importance of Relationships

The T-Test

Analysis of Variance

Cross Tabulation and Chi-Square

Correlation

Regression Analysis

Applications to Single-System Evaluation Designs

Filters

Exam 10: Probability and Sampling Distributions

In a 95 percent confidence interval:

Suppose a survey is conducted of all of the licensed therapists in Illinois regarding their attitudes about evidence-based practice.If the survey seeks to generalize about therapists' attitudes nationwide, then for this study the survey participants comprise a:

The term parameter

Theoretical sampling distributions enable us to estimate our likely degree of sampling error.

Suppose you flipped a coin three times.The probability of getting three heads would be:

The standard error equals the standard deviation of the sample divided by the square root of the sample size.

According to the central limit theorem:

As sample size increases:

If your caseload is comprised of 10 clients, and your agency's total caseload contains 100 clients, and your agency director chooses one client at random to serve as a consumer representative on your agency's board, then the probability that one of your clients will be chosen is.05.

If the sample size is 4000, and the standard deviation of the sample is 200, then the standard error is:

Inferential statistics can be used to generalize from sample statistics to population parameters.

If the sample mean equals 100, and the standard error equals 5, then we can be 95 percent confident that the population mean falls somewhere between 95 and 105.

The term parameter is used instead of statistic when referring to a summary statistic for an entire population.

The term chance refers to sampling errors that inevitably occur in random sampling.

The term chance:

As sample size increases, the probability of flukes in random selection or random assignment increases.

The standard error:

Suppose your agency serves 100 clients, and 40 of them are African Americans.The probability of selecting two African Americans on your first two random picks would be:

Inferential statistics:

If the probability that Jack will be assigned to the experimental group is .50, and the probability that Jill will be assigned to the experimental group is also .50, then the probability that both Jack and Jill will be assigned to the experimental group is .50.

Why Study Statistics

Use of Statistics in Evidence-Based Practice

Review of Key Research Methodology Concepts and Terms

Frequency Distributions

Graphs and Charts

Measures of Central Tendency

Measures of Dispersion

Types of Distributions

Z-Scores, Percentiles and Effect Size

Hypothesis Testing and Statistical Significance

Type I and Type Ii Errors

Interpreting the Strength and Importance of Relationships

The T-Test

Analysis of Variance

Cross Tabulation and Chi-Square

Correlation

Regression Analysis

Applications to Single-System Evaluation Designs

Filters