Question 1

Statistics are used in quantitative data analysis for two purposes, description, using descriptive statistics, and prediction, using inferential statistics.

Accepted Answer

A) True 
 B)False

Question 2

Basic quantitative data analysis can be carried out by simply adding up of summarising the numbers in a data set.

Accepted Answer

A) True 
 B)False

Question 3

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

Accepted Answer

A) True 
 B)False

Question 4

Statistical inference uses data from a sample population:

Accepted Answer

A) To describe the sample population. 
B) To describe the sample and the population. 
C) To examine the way in which a frequency is distributed. 
D) To draw conclusions (or inferences) about the population from which the sample was drawn. 
A) To describe the sample population. 
B) To describe the sample and the population. 
C) To examine the way in which a frequency is distributed. 
D) To draw conclusions (or inferences) about the population from which the sample was drawn.

Question 5

The standard deviation measures:

Accepted Answer

A) The spread of data about the mean. 
B) The mean. 
C) The mode. 
D) The median. 
A) The spread of data about the mean. 
B) The mean. 
C) The mode. 
D) The median.

Question 6

The assumed cause is:

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.

Question 7

More complex quantitative data analysis can be carried out using a calculator or a spreadsheet, for example an Excel spreadsheet.

Accepted Answer

A) True 
 B)False

Question 8

Gender is a variable. In general, it 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 9

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 10

What are primary sources of data?

Accepted Answer

Primary sources of data are direct sourc

Question 11

A good way of learning how to present data is to examine how other researchers' present data. You do this be reading the published works of other researchers; a good source is the journal articles in scholarly journals.

Accepted Answer

A) True 
 B)False

Question 12

The mean 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 13

A variable is a characteristic with more than one value.

Accepted Answer

A) True 
 B)False

Statistics are used in quantitative data analysis for two purposes, description, using descriptive statistics, and prediction, using inferential statistics.

Basic quantitative data analysis can be carried out by simply adding up of summarising the numbers in a data set.

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

Statistical inference uses data from a sample population:

The standard deviation measures:

The assumed cause is:

More complex quantitative data analysis can be carried out using a calculator or a spreadsheet, for example an Excel spreadsheet.

Gender is a variable. In general, it has:

The analytical framework is:

What are primary sources of data?

A good way of learning how to present data is to examine how other researchers' present data. You do this be reading the published works of other researchers; a good source is the journal articles in scholarly journals.

The mean is:

A variable is a characteristic with more than one value.

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, description, using descriptive statistics, and prediction, using inferential statistics.

Basic quantitative data analysis can be carried out by simply adding up of summarising the numbers in a data set.

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

Statistical inference uses data from a sample population:

The standard deviation measures:

The assumed cause is:

More complex quantitative data analysis can be carried out using a calculator or a spreadsheet, for example an Excel spreadsheet.

Gender is a variable. In general, it has:

The analytical framework is:

What are primary sources of data?

A good way of learning how to present data is to examine how other researchers' present data. You do this be reading the published works of other researchers; a good source is the journal articles in scholarly journals.

The mean is:

A variable is a characteristic with more than one value.

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