Question 1

If there are three standards in education, primary, secondary and tertiary:

Accepted Answer

A) There is one value to code. 
B) There are two values to code. 
C) There are three values to code. 
D) There are four values to code. 
A) There is one value to code. 
B) There are two values to code. 
C) There are three values to code. 
D) There are four values to code. C

Question 2

The effect is called:

Accepted Answer

A) The dependent variable. 
B) The independent variable. 
C) The intervening variable. 
D) The dichotomous variable. 
A) The dependent variable. 
B) The independent variable. 
C) The intervening variable. 
D) The dichotomous variable. A

Question 3

The range is:

Accepted Answer

A) A measure of central tendency. 
B) The most commonly occurring value in a range of values. 
C) The middle value in a range of values. 
D) The minimum and maximum value in a range of data. 
A) A measure of central tendency. 
B) The most commonly occurring value in a range of values. 
C) The middle value in a range of values. 
D) The minimum and maximum value in a range of data. D

Question 4

The mean, mode and median are:

Accepted Answer

A) Measures of central tendency. 
B) Measures of dispersion. 
C) Measures of distance. 
D) Measures of height. 
A) Measures of central tendency. 
B) Measures of dispersion. 
C) Measures of distance. 
D) Measures of height.

Question 5

The intervening variable is:

Accepted Answer

A) The dependent variable. 
B) The independent variable. 
C) The dichotomous variable. 
D) The means by which the independent variable affects the dependent variable. 
A) The dependent variable. 
B) The independent variable. 
C) The dichotomous variable. 
D) The means by which the independent variable affects the dependent variable.

Question 6

Inferential statistics are used in:

Accepted Answer

A) Inference. They are used to infer, based on the study of a sample of a population, what the entire population might think, or do. 
B) Description. They are used to describe data. 
C) Measuring central tendency. 
D) Measuring dispersion. 
A) Inference. They are used to infer, based on the study of a sample of a population, what the entire population might think, or do. 
B) Description. They are used to describe data. 
C) Measuring central tendency. 
D) Measuring dispersion.

Question 7

The mode is:

Accepted Answer

A) The arithmetic average. 
B) The most commonly occurring value in a range of values. 
C) The middle value in a range of values. 
D) The last value in a range of values. 
A) The arithmetic average. 
B) The most commonly occurring value in a range of values. 
C) The middle value in a range of values. 
D) The last value in a range of values.

Question 8

Inferential statistics are used to infer, based on the study of a sample of the population, what the entire population might think or do.

Accepted Answer

A) True 
 B)False

Question 9

The researcher presents a synopsis of their data analysis in the data analysis chapter, the key findings, the key data, and the key interpretation they have made in relation to the data.

Accepted Answer

A) True 
 B)False

Question 10

Descriptive statistics are used:

Accepted Answer

A) In inference. 
B) In probability testing. 
C) In hypothesis testing. 
D) To describe data. 
A) In inference. 
B) In probability testing. 
C) In hypothesis testing. 
D) To describe data.

Question 11

T tests, ANOVA, correlation tests, simple linear regression, multiple linear regression are all examples of inferential statistics.

Accepted Answer

A) True 
 B)False

Question 12

Quantitative data is numerical data and quantitative data analysis is the analysis of quantitative data using statistical methods.

Accepted Answer

A) True 
 B)False

Question 13

When a researcher engages in quantitative analysis using inferential statistics, the sampling method used becomes critical. Probability sampling methods must be used.

Accepted Answer

A) True 
 B)False

Question 14

In true experiments, the independent variable is manipulated to test whether or not it has an effect on the dependent variable.

Accepted Answer

A) True 
 B)False

Question 15

Large scale quantitative data sets can be analysed using a computer software package such as SPSS.

Accepted Answer

A) True 
 B)False

Question 16

Experimental design is the methodology used when conducting survey research.

Accepted Answer

A) True 
 B)False

Question 17

The researcher presents the analytical framework in:

Accepted Answer

A) The introduction to the research project. 
B) The literature review. 
C) The research methodology chapter or section. 
D) In the data analysis chapter or section. 
A) The introduction to the research project. 
B) The literature review. 
C) The research methodology chapter or section. 
D) In the data analysis chapter or section.

Question 18

What are secondary sources of data?

Accepted Answer

Secondary sources do not provide origina

Question 19

Percentages, ratios, proportions, and frequency distributions are all examples of:

Accepted Answer

A) Measures of central tendency. 
B) Measures of dispersion. 
C) Inferential statistics. 
D) Descriptive statistics. 
A) Measures of central tendency. 
B) Measures of dispersion. 
C) Inferential statistics. 
D) Descriptive statistics.

Question 20

A dichotomous variable is one that has only two values.

Accepted Answer

A) True 
 B)False

If there are three standards in education, primary, secondary and tertiary:

The effect is called:

The range is:

The mean, mode and median are:

The intervening variable is:

Inferential statistics are used in:

The mode is:

Inferential statistics are used to infer, based on the study of a sample of the population, what the entire population might think or do.

The researcher presents a synopsis of their data analysis in the data analysis chapter, the key findings, the key data, and the key interpretation they have made in relation to the data.

Descriptive statistics are used:

T tests, ANOVA, correlation tests, simple linear regression, multiple linear regression are all examples of inferential statistics.

Quantitative data is numerical data and quantitative data analysis is the analysis of quantitative data using statistical methods.

When a researcher engages in quantitative analysis using inferential statistics, the sampling method used becomes critical. Probability sampling methods must be used.

In true experiments, the independent variable is manipulated to test whether or not it has an effect on the dependent variable.

Large scale quantitative data sets can be analysed using a computer software package such as SPSS.

Experimental design is the methodology used when conducting survey research.

The researcher presents the analytical framework in:

What are secondary sources of data?

Percentages, ratios, proportions, and frequency distributions are all examples of:

A dichotomous variable is one that has only two values.

Introducing Business Research

Developing Research Skills

Understanding Research Ethics

Understanding Research Philosophy

Developing a Research Proposal

Reviewing the Literature

Understanding Research Methodology and Design

Understanding Research Methods, Populations and Sampling

Using Secondary Data and Archival Sources

Using Observation

Using Interviews and Focus Groups

Using Questionnaires and Scales

Managing Data and Introducing Data Analysis

Analysing Qualitative Data

Drawing Conclusions and Writing Research

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Exam 14: Analysing Quantitative Data

If there are three standards in education, primary, secondary and tertiary:

The effect is called:

The range is:

The mean, mode and median are:

The intervening variable is:

Inferential statistics are used in:

The mode is:

Inferential statistics are used to infer, based on the study of a sample of the population, what the entire population might think or do.

The researcher presents a synopsis of their data analysis in the data analysis chapter, the key findings, the key data, and the key interpretation they have made in relation to the data.

Descriptive statistics are used:

T tests, ANOVA, correlation tests, simple linear regression, multiple linear regression are all examples of inferential statistics.

Quantitative data is numerical data and quantitative data analysis is the analysis of quantitative data using statistical methods.

When a researcher engages in quantitative analysis using inferential statistics, the sampling method used becomes critical. Probability sampling methods must be used.

In true experiments, the independent variable is manipulated to test whether or not it has an effect on the dependent variable.

Large scale quantitative data sets can be analysed using a computer software package such as SPSS.

Experimental design is the methodology used when conducting survey research.

The researcher presents the analytical framework in:

What are secondary sources of data?

Percentages, ratios, proportions, and frequency distributions are all examples of:

A dichotomous variable is one that has only two values.

Introducing Business Research

Developing Research Skills

Understanding Research Ethics

Understanding Research Philosophy

Developing a Research Proposal

Reviewing the Literature

Understanding Research Methodology and Design

Understanding Research Methods, Populations and Sampling

Using Secondary Data and Archival Sources

Using Observation

Using Interviews and Focus Groups

Using Questionnaires and Scales

Managing Data and Introducing Data Analysis

Analysing Qualitative Data

Drawing Conclusions and Writing Research

Filters