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Q. What type of research method is good at generating data about an entire population quizlet?
Surveys are good for generating data about an entire population.
Table of Contents
- Q. What type of research method is good at generating data about an entire population quizlet?
- Q. What can applying the sociological imagination tell us about unemployment and homelessness?
- Q. Is age group a categorical variable?
- Q. Is age a categorical or numerical?
- Q. How do you know if a variable is categorical or numerical?
- Q. What graphs do you use for categorical data?
- Q. Can a dot plot be used for categorical data?
Q. What can applying the sociological imagination tell us about unemployment and homelessness?
Families are a key to understanding how individuals develop. What can applying the sociological imagination tell us about unemployment and homelessness? Unemployment and homelessness can be due to changing social forces beyond an individuals control.
Q. Is age group a categorical variable?
Categorical variables represent types of data which may be divided into groups. Examples of categorical variables are race, sex, age group, and educational level.
Q. Is age a categorical or numerical?
In statistics, there are broadly 2 types of variables: Numerical variables: Numbers which should be treated as they usually are in mathematics. For example, age and weight would be considered numerical variables, while phone number and ZIP code would not be considered numerical variables.
Q. How do you know if a variable is categorical or numerical?
For categorical variables, the set of permitted values is usually fixed, and rarely changes, if at all. In contrast, for numeric variable, the set of values can change, for example, when you receive a new record for the same dataset. Numeric variables can potentially have values that are not round integers.
Q. What graphs do you use for categorical data?
To graph categorical data, one uses bar charts and pie charts.
Q. Can a dot plot be used for categorical data?
Dot plots can be used for univariate data; that is, data with only one variable that is being measured. Dot plots are useful when the variable is categorical or quantitative. Categorical variables are variables that can be organized into categories, like types of sports, ice cream flavors, and days of the week.
