Question 1

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

Accepted Answer

Summarising statistics are a type of descriptive statistics that provide a brief overview of the data, including measures of central tendency (such as mean, median, and mode) and measures of variability (such as standard deviation and range). They describe properties of the data set without making inferences or predictions about the larger population.

Question 2

The analytical framework is:
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.

Accepted Answer

The answer of The analytical framework is:
A)The first framework in...

Question 3

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

Accepted Answer

Inferential statistics is the branch of statistics that deals with making inferences about a population based on a sample. T tests, ANOVA, correlation tests, simple linear regression, and multiple linear regression are some of the commonly used inferential statistical methods.

Question 4

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

Accepted Answer

Probability sampling methods are necessary for inferential statistics to make valid inferences about the population from the sample. These methods ensure that every member of the population has an equal chance of being selected, which reduces sampling bias and ensures that the sample is representative of the population.

Question 5

The effect is called:
A)The dependent variable.
B)The independent variable.
C)The intervening variable.
D)The dichotomous variable.

Accepted Answer

The effect is what is being measured or observed, and therefore it is the dependent variable. It is dependent on the independent variable, which is the factor being manipulated or controlled in the experiment. The intervening variable is a variable that comes between the independent and dependent variables, and the dichotomous variable is a variable that has two distinct and mutually exclusive categories. Therefore, the most appropriate choice is A) The dependent variable.

Question 6

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

Accepted Answer

The intervening variable is the means by which the independent variable affects the dependent variable. It is a variable that comes between the independent variable and the dependent variable, affecting the relationship between them. Therefore, option D is the correct choice.

Question 7

Descriptive statistics are used:
A)In inference.
B)In probability testing.
C)In hypothesis testing.
D)To describe data.

Accepted Answer

Descriptive statistics are used to summarize and describe data using measures such as mean, median, mode, and standard deviation. They do not involve making inferences or testing hypotheses.

Question 8

The assumed cause is:
A)The dependent variable.
B)The independent variable.
C)The intervening variable.
D)The dichotomous variable.

Accepted Answer

The assumed cause is known as the independent variable, as it is what is hypothesized to have an effect on the dependent variable. The dependent variable is the outcome that is being studied, and the intervening variable is a variable that may come between the independent and dependent variable and affect the relationship between them. The term "dichotomous variable" refers to a variable that has only two possible values or categories, so it is not relevant in this scenario.

Question 9

The researcher presents the analytical framework in:
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.

Accepted Answer

The answer of The researcher presents the analytical framework in:
A)The...

Question 10

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

Accepted Answer

T tests, ANOVA, correlation tests, simple linear regression, multiple linear regression are all examples of inferential statistics, not descriptive statistics. Descriptive statistics includes measures such as mean, median, mode, range, and standard deviation that summarize and describe a set of data.

Question 11

A dichotomous variable has:
A)One value.
B)Two values.
C)Three values.
D)Four values.

Accepted Answer

Dichotomous variable is a categorical variable with only two possible values or categories. Therefore, the best choice is B, which indicates two values.

Question 12

The mean is:
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.

Accepted Answer

The mean is calculated by adding all the values in a set of data and dividing by the number of values. It is the arithmetic average, and is commonly used to represent the central tendency of the data.

Question 13

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

Accepted Answer

Each level of education (primary, secondary, tertiary) represents a distinct value to code, resulting in three values in total.

Question 14

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

Inferential statistics use data from a sample to make inferences or predictions about a larger population. Therefore, the statement is true.

Question 15

In quantitative analysis the unit of measurement is:
A)The variable.
B)The research question.
C)The research statement.
D)The statistic.

Accepted Answer

In quantitative analysis, the unit of measurement refers to the specific variable being measured, such as height, weight, or time. The other options (research question, research statement, and statistic) are all elements of the research process but do not directly relate to the unit of measurement in quantitative analysis.

Question 16

A variable is a characteristic with more than one:
A)Statistic.
B)Value.
C)Variety.
D)Mathamatical equation.

Accepted Answer

A variable has more than one possible value, which can vary depending on the context in which it is used. It is not necessarily associated with a statistic, a specific variety or a mathematical equation.

Question 17

Statistics are used in quantitative data analysis for two purposes:
A)Description and interpretation.
B)Conclusion and theorisation.
C)description, using descriptive statistics, and prediction, using inferential statistics.
D)Mathamatical manipulation and decision making.

Accepted Answer

Descriptive statistics are used for describing and summarizing data while inferential statistics are used for predicting or inferring population parameters based on sample data. Both these purposes fall under the umbrella of quantitative data analysis. Therefore, option C is the best choice. Option A and B are not completely accurate as interpretation, conclusion, and theorization are all part of the same process. Option D is not specific enough as mathematical manipulation and decision making can be applied to a variety of subjects, not just statistics.

Question 18

Gender is a variable. In general, it has:
A)One value.
B)Two values.
C)Three values.
D)Four values.

Accepted Answer

Gender is typically classified as a binary variable with two values: male and female. However, it's important to note that gender can be a complex and nuanced concept that is not always captured by a simple binary classification. Some individuals identify as non-binary or genderqueer, which means they do not identify as entirely male or female. Overall, while gender is often considered a binary variable in many contexts, it is important to acknowledge and respect the diversity of gender identities that exist.

Question 19

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

This statement is true. Examining how other researchers present data by reading published works in scholarly journals is a helpful way of learning how to present data effectively.

Question 20

Each variable in the data gathered can be described using:
A)Inferential statistics.
B)Descriptive statistics.
C)Probability testing.
D)Hypothesis testing.

Accepted Answer

Descriptive statistics are used to summarize and describe the basic features of the data. This includes measures such as mean, median, mode, range, and standard deviation that provide information about the central tendency and spread of the data. Inferential statistics, probability testing, and hypothesis testing are used to make inferences and draw conclusions about a population based on a sample of data.

Quiz 14: Analysing Quantitative Data

Summarising statistics are:

The analytical framework is:

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

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

The effect is called:

The intervening variable is:

Descriptive statistics are used:

The assumed cause is:

The researcher presents the analytical framework in:

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

A dichotomous variable has:

The mean is:

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

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

In quantitative analysis the unit of measurement is:

A variable is a characteristic with more than one:

Statistics are used in quantitative data analysis for two purposes:

Gender is a variable. In general, it has:

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.

Each variable in the data gathered can be described using: