Podcast
Questions and Answers
Which type of statistics describes what the data look like, how broadly they are spread, and how closely two or more variables within the data are associated with one another?
Which type of statistics describes what the data look like, how broadly they are spread, and how closely two or more variables within the data are associated with one another?
- Inferential statistics
- Nominal statistics
- Parameter statistics
- Descriptive statistics (correct)
What characteristic distinguishes a normal distribution?
What characteristic distinguishes a normal distribution?
- It has a randomly fluctuating shape
- Its highest point is at one of its ends
- The data are not predictable
- It is vertically symmetrical (correct)
What is the defining feature of nominal data?
What is the defining feature of nominal data?
- They are continuous variables
- They have separate, non-ranked categories (correct)
- They have equal intervals and true zero point
- They have sequenced categories with equal units of measurement
Which type of variables involve an infinite number of possible values?
Which type of variables involve an infinite number of possible values?
What does inferential statistics allow us to do?
What does inferential statistics allow us to do?
What is the purpose of organizing data before analysis?
What is the purpose of organizing data before analysis?
What is one of the uses of electronic spreadsheets for organizing and analyzing data?
What is one of the uses of electronic spreadsheets for organizing and analyzing data?
Why should every researcher be able to provide a clear, logical rationale for the procedure used to organize data?
Why should every researcher be able to provide a clear, logical rationale for the procedure used to organize data?
In what ways can data be organized for analysis?
In what ways can data be organized for analysis?
What are statistics used for in relation to numerical data?
What are statistics used for in relation to numerical data?
What is the purpose of organizing data before analysis?
What is the purpose of organizing data before analysis?
What characteristic distinguishes a normal distribution?
What characteristic distinguishes a normal distribution?
What is the defining feature of nominal data?
What is the defining feature of nominal data?
What does inferential statistics allow us to do?
What does inferential statistics allow us to do?
Which type of variables involve an infinite number of possible values?
Which type of variables involve an infinite number of possible values?
Which type of data involves equal intervals and a true zero point?
Which type of data involves equal intervals and a true zero point?
What type of distribution is horizontally symmetrical with its highest point at the midpoint?
What type of distribution is horizontally symmetrical with its highest point at the midpoint?
Which type of statistics allows us to draw inferences about large populations by collecting data on relatively small samples?
Which type of statistics allows us to draw inferences about large populations by collecting data on relatively small samples?
What distinguishes ratio data from interval data?
What distinguishes ratio data from interval data?
What distinguishes a skewed distribution from a normal distribution?
What distinguishes a skewed distribution from a normal distribution?
Study Notes
Types of Statistics
- Descriptive statistics describe what the data look like, how broadly they are spread, and how closely two or more variables are associated with one another.
Normal Distribution
- A normal distribution is characterized by symmetry around the mean, with the highest point at the midpoint.
Data Types
- Nominal data are defined by having no inherent order or hierarchy.
- Interval data have equal intervals, but no true zero point.
- Ratio data have equal intervals and a true zero point.
- Continuous variables involve an infinite number of possible values.
Inferential Statistics
- Inferential statistics allow us to draw inferences about large populations by collecting data on relatively small samples.
Data Organization
- Organizing data before analysis helps to identify patterns, relationships, and errors.
- Data can be organized by sorting, grouping, or categorizing.
- Electronic spreadsheets are a useful tool for organizing and analyzing data.
- Every researcher should be able to provide a clear, logical rationale for the procedure used to organize data.
Skewed Distribution
- A skewed distribution is asymmetrical, distinguishing it from a normal distribution.
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Description
Test your understanding of analyzing quantitative data, organizing data sets, and computational procedures in statistics with this quiz based on Practical Research: Planning and Design Twelfth Edition Chapter 11.
