Question 1

Statistics are used in quantitative data analysis for two purposes:

Accepted Answer

A)  Description and interpretation. 
B)  Conclusion and theorisation. 
C)  description, using descriptive statistics, and prediction, using inferential statistics. 
D)  Mathamatical manipulation and decision making. 
A)  Description and interpretation. 
B)  Conclusion and theorisation. 
C)  description, using descriptive statistics, and prediction, using inferential statistics. 
D)  Mathamatical manipulation and decision making.

Question 2

A dichotomous variable has:

Accepted Answer

A)  One value. 
B)  Two values. 
C)  Three values. 
D)  Four values. 
A)  One value. 
B)  Two values. 
C)  Three values. 
D)  Four values.

Question 3

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 4

The analytical framework is:

Accepted Answer

A)  The first framework in the four frameworks approach to research. 
B)  The second framework in the four frameworks approach to research. 
C)  The third framework in the four frameworks approach to research. 
D)  The fourth framework in the four frameworks approach to research. 
A)  The first framework in the four frameworks approach to research. 
B)  The second framework in the four frameworks approach to research. 
C)  The third framework in the four frameworks approach to research. 
D)  The fourth framework in the four frameworks approach to research.

Question 5

Summarising statistics are:

Accepted Answer

A)  Examples of descriptive statistics. 
B)  Examples of inferential statistics. 
C)  Examples of probability testing. 
D)  Examples of hypothesis testing. 
A)  Examples of descriptive statistics. 
B)  Examples of inferential statistics. 
C)  Examples of probability testing. 
D)  Examples of hypothesis testing.

Question 6

In quantitative data analysis the unit of measurement is the variable.

Accepted Answer

A) True 
 B)False

Question 7

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 8

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.

Question 9

CADA, as well as facilitating data analysis, also served as a tool for managing 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

Hypothesis testing is commonly used in research in:

Accepted Answer

A)  Probability sampling. 
B)  Measuring central tendency. 
C)  Measuring dispersion. 
D)  Drawing inferences about a population based on statistical analysis of data drawn from a sample of that population. 
A)  Probability sampling. 
B)  Measuring central tendency. 
C)  Measuring dispersion. 
D)  Drawing inferences about a population based on statistical analysis of data drawn from a sample of that population.

Question 12

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

Accepted Answer

A) True 
 B)False

Question 13

Each variable in the data gathered can be described using:

Accepted Answer

A)  Inferential statistics. 
B)  Descriptive statistics. 
C)  Probability testing. 
D)  Hypothesis testing. 
A)  Inferential statistics. 
B)  Descriptive statistics. 
C)  Probability testing. 
D)  Hypothesis testing.

Statistics are used in quantitative data analysis for two purposes:

A dichotomous variable has:

The mode is:

The analytical framework is:

Summarising statistics are:

In quantitative data analysis the unit of measurement is the variable.

Inferential statistics are used in:

The range is:

CADA, as well as facilitating data analysis, also served as a tool for managing data.

Descriptive statistics are used:

Hypothesis testing is commonly used in research in:

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

Each variable in the data gathered can be described using:

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

Statistics are used in quantitative data analysis for two purposes:

A dichotomous variable has:

The mode is:

The analytical framework is:

Summarising statistics are:

In quantitative data analysis the unit of measurement is the variable.

Inferential statistics are used in:

The range is:

CADA, as well as facilitating data analysis, also served as a tool for managing data.

Descriptive statistics are used:

Hypothesis testing is commonly used in research in:

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

Each variable in the data gathered can be described using:

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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