What is the definition of a variable?

Statistics Chapter 1 Progress Quiz

Passage
•
Mathematics
•
12th Grade
•
Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A method of data collection
A type of measurement scale
A specific value in a data set
A characteristic that can assume different values
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between descriptive and inferential statistics?
Descriptive statistics summarizes data, while inferential statistics determines relationships among variables
Descriptive statistics collects data, while inferential statistics makes predictions
Descriptive statistics generalizes from samples to populations, while inferential statistics organizes data
Descriptive statistics uses probability, while inferential statistics represents data visually
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is an example of a discrete variable?
Weight
Number of children in a family
Height
Temperature
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What level of measurement classifies data into categories that can be ranked?
Nominal
Ordinal
Ratio
Interval
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between a cross-sectional study and a retrospective study?
Cross-sectional study collects data over a period of time, while retrospective study collects data at one time
Cross-sectional study collects data using records obtained from the past, while retrospective study collects data from every subject in the population
Cross-sectional study observes what has happened in the past, while retrospective study observes what is happening
Cross-sectional study tries to draw conclusions based on observations, while retrospective study manipulates variables
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the independent variable in an experimental study?
The dependent variable
The resultant variable
The treatment group
The manipulated variable
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the Hawthorne effect?
An effect on an outcome variable caused by the difference between sample and population results
An effect on an outcome variable caused by nonsampling errors
An effect on an outcome variable caused by the manipulation of variables
An effect on an outcome variable caused by the fact that subjects know they are participating in the study
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