Data: information about the characteristics of a group of individuals. Categorical variable: describes a particular characteristic which can be divided into categories. Quantitativ... Data: information about the characteristics of a group of individuals. Categorical variable: describes a particular characteristic which can be divided into categories. Quantitative variable: describes a characteristic which has a numerical value that can be counted or measured. Population: an entire collection of individuals about which we want to draw conclusions. Bias: is a term used to describe statistics that don't provide an accurate representation of the population. Census: the collection of information from the whole population. Parameter: a numerical quantity measuring some aspect of a population. Sample: a group of individuals selected from a population. Survey: the collection of information from a sample. Statistic: a quantity calculated from data gathered from a sample, usually used to estimate a population parameter.
Understand the Problem
The provided text defines several key terms related to statistics and data collection, such as data, categorical variable, quantitative variable, population, bias, census, parameter, sample, survey, and statistic. This information serves as a foundational understanding of different concepts in statistical analysis.
Answer
Categorical variables describe groups; quantitative variables involve numerical values.
Categorical variables describe characteristics that can be divided into groups, such as gender or race, while quantitative variables involve numerical values that can be measured or counted, such as age or height.
Answer for screen readers
Categorical variables describe characteristics that can be divided into groups, such as gender or race, while quantitative variables involve numerical values that can be measured or counted, such as age or height.
More Information
Quantitative variables can be further subdivided into discrete (counts) and continuous (measured) variables.
Tips
A common mistake is confusing discrete quantitative data with categorical data due to their similar listing format. Remember that discrete data represents countable quantities.
Sources
- 11A-BC Sampling and Types of Data - lyonmath.weebly.com
- Types of Variables, Descriptive Statistics, and Sample Size - NCBI - ncbi.nlm.nih.gov
- What is the difference between quantitative and categorical variables? - scribbr.com
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