Question 1

Random sampling is not an assumption in the use of inferential statistics.

Accepted Answer

A) True 
 B)False

Question 2

Dr. Callahan wrote in her report that the findings for her study were statistically significant. What did she mean?

Accepted Answer

A)  The results she observed from her research were most likely not due to chance 
B)  The results of her research indicated that the alternate hypothesis was proven in this case 
C)  The statistical analysis indicated that the null hypothesis will be completely inappropriate in all future studies 
D)  The results she observed from her research were most likely due to chance 
A)  The results she observed from her research were most likely not due to chance 
B)  The results of her research indicated that the alternate hypothesis was proven in this case 
C)  The statistical analysis indicated that the null hypothesis will be completely inappropriate in all future studies 
D)  The results she observed from her research were most likely due to chance

Question 3

Describe the purpose and process of hypothesis testing.

Accepted Answer

Hypothesis testing is concerned with how

Question 4

State how to decrease the probability of Type I and Type II errors.

Accepted Answer

To decrease the probability of Type I an

Question 5

Draw the hypothesis-testing decision matrix and explain the contents.

Accepted Answer

The hypothesis-testing decision matrix i

Question 6

Which of the following is the null hypothesis for testing the difference between two means for statistical significance?

Accepted Answer

A)  H0: µGRE-V = 476 
B)  H0: µM = µF 
C)  H0: βYX1X2 = 0 
D)  H0: ρXY = 0 
A)  H0: µGRE-V = 476 
B)  H0: µM = µF 
C)  H0: βYX1X2 = 0 
D)  H0: ρXY = 0

Question 7

When a researcher wants to investigate the differences between two independent groups he can analyze the data using techniques. He can use the t Test for independent samples and:

Accepted Answer

A)  One-way analysis of variance 
B)  t test for correlation coefficients 
C)  Chi-square test for a contingency table 
D)  t test for regression coefficients 
A)  One-way analysis of variance 
B)  t test for correlation coefficients 
C)  Chi-square test for a contingency table 
D)  t test for regression coefficients

Question 8

Jean has conducted a study with an experimental and control group. She conducted an analysis of variance and found that there was a significant difference between the groups. How will she conduct post hoc tests?

Accepted Answer

A)  She will use the Bonferroni procedure 
B)  She will look at the two group means and see which group scored higher 
C)  She will calculate a correlation coefficient between the two groups 
D)  She will conduct a independent samples t test 
A)  She will use the Bonferroni procedure 
B)  She will look at the two group means and see which group scored higher 
C)  She will calculate a correlation coefficient between the two groups 
D)  She will conduct a independent samples t test

Question 9

If a research finding is statistically significant, what else should you determine?

Accepted Answer

A)  The strength of significance 
B)  The practical significance 
C)  The probability value 
D)  The alpha level 
A)  The strength of significance 
B)  The practical significance 
C)  The probability value 
D)  The alpha level

Question 10

Explain the difference between the null hypothesis and the alternative hypothesis.

Accepted Answer

In the context of statistical hypothesis

Question 11

During significance testing, Dr. Gray looked at his data to see if the relationship between his independent and dependent variables was large enough to be meaningful. In doing so, he was investigating:

Accepted Answer

A)  Statistical significance 
B)  Practical significance 
C)  Probability significance 
D)  Effect size significance 
A)  Statistical significance 
B)  Practical significance 
C)  Probability significance 
D)  Effect size significance

Question 12

Which of the following steps occurs first in hypothesis testing?

Accepted Answer

A)  Obtain the probability value 
B)  Determine practical significance 
C)  Set the significance level 
D)  Compare the probability value with the significance level 
A)  Obtain the probability value 
B)  Determine practical significance 
C)  Set the significance level 
D)  Compare the probability value with the significance level

Question 13

Increasing the sample size in a research study will _________ the study's power.

Accepted Answer

A)  decrease 
B)  not impact 
C)  increase 
D)  be unrelated to 
A)  decrease 
B)  not impact 
C)  increase 
D)  be unrelated to

Question 14

Which of the following symbols stands for the population mean?

Accepted Answer

A)  ρ 
B)  μ 
C)  SD 
D)  σ 
A)  ρ 
B)  μ 
C)  SD 
D)  σ

Question 15

An index (e.g., a mean or a correlation) calculated with sample data is called a ______ whereas an index calculated with the complete set of population data (i.e., everyone in the population) is called a _______.

Accepted Answer

A)  Statistic, Parameter 
B)  Parameter, Statistic 
C)  Sample, Population 
D)  Population, Sample 
A)  Statistic, Parameter 
B)  Parameter, Statistic 
C)  Sample, Population 
D)  Population, Sample

Question 16

Which of the following is the null hypothesis for testing a regression coefficient for statistical significance?

Accepted Answer

A)  H0: µGRE-V = 476 
B)  H0: µM = µF 
C)  H0: βYX1.X2 = 0 
D)  H0: ρXY = 0 
A)  H0: µGRE-V = 476 
B)  H0: µM = µF 
C)  H0: βYX1.X2 = 0 
D)  H0: ρXY = 0

Question 17

The _____ is defined as the probability or your finding or a more extreme finding under the assumption that the null hypothesis is true.

Accepted Answer

A)  Alternative hypothesis 
B)  Null hypothesis 
C)  Probability value 
D)  Significance level 
A)  Alternative hypothesis 
B)  Null hypothesis 
C)  Probability value 
D)  Significance level

Question 18

A researcher has calculated the 95% confidence interval. What does that mean?

Accepted Answer

A)  The process she used captures the true population statistic 95% of the time in the long run 
B)  She can be "95% confident" that her interval will include the population parameter 
C)  She can be "5% confident" that her interval will includes the population parameter 
D)  She can reject the null hypothesis. 
A)  The process she used captures the true population statistic 95% of the time in the long run 
B)  She can be "95% confident" that her interval will include the population parameter 
C)  She can be "5% confident" that her interval will includes the population parameter 
D)  She can reject the null hypothesis.

Question 19

Which of the following symbols represents a population parameter?

Accepted Answer

A)  SD 
B)  σ 
C)  r 
D)  0 
A)  SD 
B)  σ 
C)  r 
D)  0

Question 20

Compare and contrast point estimation and interval estimation.

Accepted Answer

Point estimation and interval estimation

Exam 19: Inferential Statistics

Random sampling is not an assumption in the use of inferential statistics.

Dr. Callahan wrote in her report that the findings for her study were statistically significant. What did she mean?

Describe the purpose and process of hypothesis testing.

State how to decrease the probability of Type I and Type II errors.

Draw the hypothesis-testing decision matrix and explain the contents.

Which of the following is the null hypothesis for testing the difference between two means for statistical significance?

When a researcher wants to investigate the differences between two independent groups he can analyze the data using techniques. He can use the t Test for independent samples and:

Jean has conducted a study with an experimental and control group. She conducted an analysis of variance and found that there was a significant difference between the groups. How will she conduct post hoc tests?

If a research finding is statistically significant, what else should you determine?

Explain the difference between the null hypothesis and the alternative hypothesis.

During significance testing, Dr. Gray looked at his data to see if the relationship between his independent and dependent variables was large enough to be meaningful. In doing so, he was investigating:

Which of the following steps occurs first in hypothesis testing?

Increasing the sample size in a research study will _________ the study's power.

Which of the following symbols stands for the population mean?

An index (e.g., a mean or a correlation) calculated with sample data is called a ______ whereas an index calculated with the complete set of population data (i.e., everyone in the population) is called a _______.

Which of the following is the null hypothesis for testing a regression coefficient for statistical significance?

The _____ is defined as the probability or your finding or a more extreme finding under the assumption that the null hypothesis is true.

A researcher has calculated the 95% confidence interval. What does that mean?

Which of the following symbols represents a population parameter?

Compare and contrast point estimation and interval estimation.

Introduction to Educational Research

Quantitative, Qualitative, and Mixed Research

Action Research for Lifelong Learning

How to Review the Literature and Develop Research Questions

How to Write a Research Proposal

Research Ethics

Standardized Measurement and Assessment

How to Construct a Questionnaire

Methods of Data Collection

Sampling in Quantitative, Qualitative, and Mixed Research

Validity of Research Results in Quantitative, Qualitative, and Mixed Research

Experimental Research: Weak and Strong Designs

Experimental Research: Quasi and Single-Case Designs

Nonexperimental Quantitative Research

Narrative Inquiry and Case Study Research

Phenomenology, Ethnography, and Grounded Theory

Mixed Research

Descriptive Statistics

Data Analysis in Qualitative and Mixed Research

How to Prepare a Research Report and Use Apa Style Guidelines

Filters

An index (e.g., a mean or a correlation) calculated with sample data is called a whereas an index calculated with the complete set of population data (i.e., everyone in the population) is called a _.