Chapter 12

Question 1

Quantitative data refers to

Answer 1

Numerical data that could usefully be quantified to help you answer your research question(s) and to meet your objectives.

Question 2

Which of these is not one of the four main reasons for missing data?

Answer 2

The analyst ignored its presence on the data form.

Question 3

Computers are essential for quantitative data analysis because:

Answer 3

Increasingly data analysis software contains algorithms that check the data for obvious errors as it is entered.

Question 4

Which of these is not a way of weighting data?

Answer 4

Applying a formula that responds to your knowledge of the data context.

Question 5

A pictogram is:

Answer 5

An illustration where each bar is replaced by a picture or series of pictures chosen to represent the data.

Question 6

A pie chart is:

Answer 6

An illustration where the data are divided into proportional segments according to the share each has of the total value of the data.

Question 7

Which one of these is not a way of measuring central tendency?

Answer 7

Regression analysis.

Question 8

Standard deviation is:

Answer 8

A way of measuring the extent of spread of quantifiable data.

Question 9

Parametric and non-parametric are:

Answer 9

Two main groups of statistical significance tests.

Question 10

The way in which this significance is tested using both non-parametric and parametric statistics can be thought of as answering one from a series of questions. Which one of the questions below is the odd one out?

Answer 10

Does it look statistically significant on the face of it?

Question 11

Testing the probability of a relationship between variables occurring by chance alone if there really was no difference in the population from which that sample was drawn is known as:

Answer 11

Significance testing.

Question 12

ANOVA is:

Answer 12

A one-way analysis of variance.

Question 13

A correlation coefficient enables you to:

Answer 13

Quantify the strength of the linear relationship between two ranked or quantifiable variables.

Question 14

The coefficient of determination (sometimes known as the regression coefficient) enables you to:

Answer 14

Assess the strength of relationship between a quantifiable dependent variable and one or more quantifiable independent variables.

Question 15

Which of the following are not a type of graph?

Answer 15

Bar, Box, Pie.