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An introduction to statistics, focusing on individuals, variables, and data analysis. It explains the concepts of populations, samples, inferential and descriptive statistics, and variables, using a spreadsheet format as an example. Quantitative and categorical variables, their organization through graphs, and the determination of a variable's distribution.
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Statistics is the collecting, organizing and interpreting of information (data). Individuals are the objects described by a set of data.
When your data is provided as a list of information, you can identify the individuals of the story problem situation by organizing the data in a spreadsheet format.
In a spreadsheet (or table) format:
Example: A spreadsheet for employees of a company.
Name SS# Gender* Title Salary in $^ Hours worked per week^ Vaccinated for H1N
Damage Reports Filed
State born in
1 Carrera, Ricardo 111-11-1111 0 Clerk 25000 40 Y 24 FL 2 Murphy, Patrick 999-99-9999 0 Manager 45000 50 N 13 OH 3 Zion, Mary 555-55-5555 1 Manager 50000 50 Y 20 CA *For Gender, 0 = Male, 1 = Female
In a spreadsheet, consider the entries of the variable to determine which type the variable is.
We want to know the Distribution of a variable: what values does the variable have and how often do these values occur. For a quantitative variable minX is the smallest number in a list of data maxX is the largest number in the list of data Spread is a descriptive phrase, “Spread is from minX to maxX” Range is a number, Range = maxX – minX
“Frequency” is the “number of individuals”. The total number of individuals in a sample is denoted as n. “Relative Frequency” is the “percent of individuals”.