Question 1

Calculation of the contingency coefficient requires:

Accepted Answer

A)  calculation of the standard deviation 
B)  calculation of Chi-Square 
C)  calculation of the median 
D)  calculation of the standard error of the mean 
A)  calculation of the standard deviation 
B)  calculation of Chi-Square 
C)  calculation of the median 
D)  calculation of the standard error of the mean B

Question 2

The determination of statistical significance of a mean makes use of:

Accepted Answer

A)  the correspondence between z-scores and areas under the normal curve 
B)  the relationship between raw scores and percentile values 
C)  the calculation of the range of scores 
D)  the relationship between a frequency distribution and a frequency polygon 
A)  the correspondence between z-scores and areas under the normal curve 
B)  the relationship between raw scores and percentile values 
C)  the calculation of the range of scores 
D)  the relationship between a frequency distribution and a frequency polygon A

Question 3

An advantage of nonparametric inference tests is that they:

Accepted Answer

A)  are more sensitive than parametric tests 
B)  require the use of only a nominal scale 
C)  require a smaller sample than parametric tests 
D)  require fewer assumptions than parametric tests 
A)  are more sensitive than parametric tests 
B)  require the use of only a nominal scale 
C)  require a smaller sample than parametric tests 
D)  require fewer assumptions than parametric tests D

Question 4

Matching
-Probability

Accepted Answer

A)  Null hypothesis testing 
B)  Mean, median, and mode 
C)  Relative occurrence 
D)  ANOVA 
E)  Boundaries 
A)  Null hypothesis testing 
B)  Mean, median, and mode 
C)  Relative occurrence 
D)  ANOVA 
E)  Boundaries

Question 5

One type of null hypothesis is:

Accepted Answer

A)  an experimental hypothesis that does not imply empirical testing 
B)  a statistical hypothesis that assumes there are differences of varying sizes among the effects of different treatments 
C)  an experimental hypothesis that has been found to be inconsistent with empirical data 
D)  a statistical hypothesis that states there are no differences among the effects of treatments 
A)  an experimental hypothesis that does not imply empirical testing 
B)  a statistical hypothesis that assumes there are differences of varying sizes among the effects of different treatments 
C)  an experimental hypothesis that has been found to be inconsistent with empirical data 
D)  a statistical hypothesis that states there are no differences among the effects of treatments

Question 6

The standard deviation of a sampling distribution of means is called:

Accepted Answer

A)  the standard error of the mean 
B)  the standard error of the difference in means 
C)  the standard error of measurement 
D)  a z-score 
A)  the standard error of the mean 
B)  the standard error of the difference in means 
C)  the standard error of measurement 
D)  a z-score

Question 7

Matching
-Inferential statistics

Accepted Answer

A)  Null hypothesis testing 
B)  Mean, median, and mode 
C)  Relative occurrence 
D)  ANOVA 
E)  Boundaries 
A)  Null hypothesis testing 
B)  Mean, median, and mode 
C)  Relative occurrence 
D)  ANOVA 
E)  Boundaries

Question 8

If p <.01, a researcher would:

Accepted Answer

A)  accept the null hypothesis 
B)  reject the null hypothesis 
C)  reject the research hypothesis 
D)  none of the above 
A)  accept the null hypothesis 
B)  reject the null hypothesis 
C)  reject the research hypothesis 
D)  none of the above

Question 9

Establishing a 95% confidence interval enables a researcher to:

Accepted Answer

A)  state the values that encompass all but 95% of the sample scores 
B)  state the values that encompass 95% of the sample scores 
C)  state the values that encompass 95% of the population parameters 
D)  state the values that encompass the population parameters in 95% of such instances 
A)  state the values that encompass all but 95% of the sample scores 
B)  state the values that encompass 95% of the sample scores 
C)  state the values that encompass 95% of the population parameters 
D)  state the values that encompass the population parameters in 95% of such instances

Question 10

Which of the following inference tests is appropriate for a comparison of means of four independent groups in an experimental study?

Accepted Answer

A)  The Mann-Whitney U test 
B)  ANOVA 
C)  A t test for correlated means 
D)  A t test for independent means 
A)  The Mann-Whitney U test 
B)  ANOVA 
C)  A t test for correlated means 
D)  A t test for independent means

Question 11

Matching
-Descriptive statistics

Accepted Answer

A)  Null hypothesis testing 
B)  Mean, median, and mode 
C)  Relative occurrence 
D)  ANOVA 
E)  Boundaries 
A)  Null hypothesis testing 
B)  Mean, median, and mode 
C)  Relative occurrence 
D)  ANOVA 
E)  Boundaries

Question 12

The techniques of inferential statistics differ depending on which type of data a researcher wishes to analyze.

Accepted Answer

A) True 
 B)False

Question 13

A sample of 13 children has a mean IQ of 112 and a standard deviation of 15. Is it likely that this could be a random sample from a population whose mean is known to be 113.5?

Accepted Answer

A)  Yes, it is likely that a random sample mean could deviate that much from a population mean. 
B)  No, a random sample mean could not deviate that much from a population mean. 
C)  No, the calculations are incorrect. 
D)  The question cannot be answered on the basis of the information given. 
A)  Yes, it is likely that a random sample mean could deviate that much from a population mean. 
B)  No, a random sample mean could not deviate that much from a population mean. 
C)  No, the calculations are incorrect. 
D)  The question cannot be answered on the basis of the information given.

Question 14

An assumption basic to all inferential statistics is:

Accepted Answer

A)  the sample(s) must be randomly selected 
B)  measurements must be on an interval scale 
C)  sample size must be over 30 
D)  the null hypothesis is true 
A)  the sample(s) must be randomly selected 
B)  measurements must be on an interval scale 
C)  sample size must be over 30 
D)  the null hypothesis is true

Question 15

Which of the following inference tests is not appropriate for a comparison of two means in a causal comparative study?

Accepted Answer

A)  The Mann-Whitney U test 
B)  ANOVA 
C)  Chi-Square 
D)  A t test for independent means 
A)  The Mann-Whitney U test 
B)  ANOVA 
C)  Chi-Square 
D)  A t test for independent means

Question 16

A one-tailed test of statistical significance is appropriate when:

Accepted Answer

A)  no research hypothesis was stated 
B)  a nondirectional research hypothesis was stated 
C)  a directional research hypothesis was stated 
D)  the data show a skewed frequency polygon 
A)  no research hypothesis was stated 
B)  a nondirectional research hypothesis was stated 
C)  a directional research hypothesis was stated 
D)  the data show a skewed frequency polygon

Question 17

A hypothesis which states that the experimental group mean will be higher than the control group mean should:

Accepted Answer

A)  not use a test of statistical significance 
B)  use a one-tailed test of statistical significance 
C)  use a two-tailed test of statistical significance 
D)  use a Chi-Square test 
A)  not use a test of statistical significance 
B)  use a one-tailed test of statistical significance 
C)  use a two-tailed test of statistical significance 
D)  use a Chi-Square test

Question 18

Matching
-Parametric statistical test

Accepted Answer

A)  Null hypothesis testing 
B)  Mean, median, and mode 
C)  Relative occurrence 
D)  ANOVA 
E)  Boundaries 
A)  Null hypothesis testing 
B)  Mean, median, and mode 
C)  Relative occurrence 
D)  ANOVA 
E)  Boundaries

Question 19

Which of the following inference tests is appropriate for a comparison of rankings of two groups in a causal comparative study?

Accepted Answer

A)  The Mann-Whitney U test 
B)  ANOVA 
C)  A t test for correlated means 
D)  A t test for independent means 
A)  The Mann-Whitney U test 
B)  ANOVA 
C)  A t test for correlated means 
D)  A t test for independent means

Question 20

The inference test used when both variables are categorical is:

Accepted Answer

A)  the t test for r 
B)  the Mann-Whitney U test 
C)  Chi-Square 
D)  the Sign test 
A)  the t test for r 
B)  the Mann-Whitney U test 
C)  Chi-Square 
D)  the Sign test

Exam 11: Inferential Statistics

Calculation of the contingency coefficient requires:

The determination of statistical significance of a mean makes use of:

An advantage of nonparametric inference tests is that they:

Matching -Probability

One type of null hypothesis is:

The standard deviation of a sampling distribution of means is called:

Matching -Inferential statistics

If p <.01, a researcher would:

Establishing a 95% confidence interval enables a researcher to:

Which of the following inference tests is appropriate for a comparison of means of four independent groups in an experimental study?

Matching -Descriptive statistics

The techniques of inferential statistics differ depending on which type of data a researcher wishes to analyze.

A sample of 13 children has a mean IQ of 112 and a standard deviation of 15. Is it likely that this could be a random sample from a population whose mean is known to be 113.5?

An assumption basic to all inferential statistics is:

Which of the following inference tests is not appropriate for a comparison of two means in a causal comparative study?

A one-tailed test of statistical significance is appropriate when:

A hypothesis which states that the experimental group mean will be higher than the control group mean should:

Matching -Parametric statistical test

Which of the following inference tests is appropriate for a comparison of rankings of two groups in a causal comparative study?

The inference test used when both variables are categorical is:

The Nature of Research

The Research Problem

Locating and Reviewing the Literature

Ethics and Research

Variables and Hypotheses

Sampling

Instrumentation

Validity and Reliability

Internal Validity

Descriptive Statistics

Statistics in Perspective

Experimental Research

Single-Subject Research

Correlational Research

Causal-Comparative Research

Survey Research

The Nature of Qualitative Research

Observation and Interviewing

Content Analysis

Ethnographic Research

Historical Research

Mixed-Methods Research

Action Research

Preparing Research Proposals and Reports

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