The flashcards below were created by user
Spuente
on FreezingBlue Flashcards.

Statistics
The science of collecting, organizing, summarizing' and analyzing information in order to draw conclusions, or answer questions. Provides a measure of confidence in any conclusion.

Population
An entire group of individuals being studied

Individual
Person or object that make up a population that is being studied

Sample
A subset of the population being studied

Statistic
The numerical summary of a sample

Descriptive Statistics
Consist of Organizing and Summarizing data

Inferential Statistics
Uses methods that take a result from a sample, extend it to the population, and measure the reliability of the result

Parameter
A numerical summary of a population

Variable
The characteristic of the individual to be measured or observed.

Random Sampling
The process of using chance to select individuals from a population to be included in the sample

Simple Random Sampling
A sample of size n from a population of size N is obtained through simple random sampling, if every possible sample of size n has a equally likely chance of occuring

Bias
If the result of the sample are not representative of the population

Sampling Error
Error that results from using a sample to estimate information about a population. This type of error occurs BC a sample gives incomplete information about a population

Frequency Distribution
Lists each category of data and the number of occurrence for each category of data

Histogram
Constructed by drawing rectangles for each class of data. The height of each rectangle is the frequency or relative frequency of the class. The width of each rectangle is the same and the rectangles touch

Variance
Based on the deviation about the mean (Measure of deviations are meant to describe how spread out data are)

Standard Deviation
A measure of variation of values about the mean. It is a type of average deviation of values from the mean.

Zscore
Standardized value the number of standard deviation that a given value,x, is above or below the mean.

