Chapter 7 Quiz

. When preparing your dataset for quantitative analysis, it is important to limit your dataset so only those observations that are contained within your _____ remain in it.

Research Group

Sample

Frequency

Research Population

. Which of the following is true concerning the standard deviation of a distribution?

A small standard deviation indicates a narrow clustering of values around a mean

A small standard deviation indicates a larger spread of values around the mean

A large standard deviation indicates a narrow clustering of values around the mean

A large standard deviation means that a lot of people answered a particular question.

. When a distribution is skewed,

The data does not lean towards one end of a distribution

The distribution is not symmetrical

The data is spoiled and cannot be used

The mode cannot be identified

. Frequency distributions must be used for variables with what type of measurement?

Ordinal

Nominal

Interval

Ratio

. Descriptive statistics investigate

The amount of variation within each variable

Relationships among variables

Whether coefficients are significant

If a pie chart is more appropriate than a bar chart

. Quantitative data presented in a spreadsheet with information organized into rows and columns is called a

Codebook

Distribution

Book

Dataset

. If the data for a variable is normally distributed then

then roughly 50% of the observations for the variable should fall within one standard deviation on either side of the mean

then none of the observations for the variable should fall within one standard deviation on either side of the mean

then roughly 68% of the observations for the variable should fall within one standard deviation on either side of the mean

then 100% of the observations for the variable should fall within one standard deviation on either side of the mean

. Data means

Knowledge

Information

Access

Research

. Which of the following is an example of a summary statistic?

Minimum value

Significance level

Correlation coefficient

Inverse coefficient

. The study of information to produce a result or conclusion is known as

Data comprehension

Data measurement

Data research

Data analysis

. What is the standard deviation?

The value that appears the most in a dataset

A measure for how the values in a variable are dispersed around the variable's mean

The lowest value in a dataset

The highest value in a dataset

. Which of the following is an example of changing a nominal variable into a binary variable?

Splitting political affiliation into Democrat, Republican, and Independent

Transforming political affiliation into a scale, 1 being Democrat and 10 being Republican

Splitting political affiliation into Democrat and Republican

Isolating only the Democrat category

. Which of the following lists the percentages of each code contained in a variable?

Data analysis

Frequency distribution

Regression analysis

Univariate analysis

. The mode is:

The value that appears the most in a dataset

The average of all of the values in a dataset

The lowest value in a dataset

The standard deviation

. What is the best description of binary variable?

A measurement in which observations are placed into discrete categories

A type of variable with nominal measurement that contains only two categories

A nominal variable

A type of measurement whose ordering of values has meaning for understanding variation in a variable.

. The following variable has what type of measurement?
No right to vote 1
I would not vote 2
I would cast a blank ballot 3
None 4
Other 5

Ordinal

Binary

Nominal

Ratio

. What is a good example of an ordinal variable?

party affiliation

biological sex

year born

life satisfaction on a scale from 1 to 10

. What type of descriptive statistics is most appropriate for an ordinal variable with less than five categories?

the average

a frequency distribution

summary statistics

it is not possible to generate descriptive statistics for this type of variable

. What type of descriptive statistics is most appropriate for an ordinal variable with five or more categories?

a frequency distribution

summary statistics

the mode

data analysis

. Why is it important to understand the different types of measurement important?

because the measurement level of a variable influences what can be done with it quantitatively

because some variables are better than others

because knowing the extent of variation in each variable is important.

because researchers should only use certain types of variables

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