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PSH STATS 202 EXAM 1 Cheat Sheet (DRAFT) by

this will go over everything from variables all the way to graphs needed to succeed on exam 1

This is a draft cheat sheet. It is a work in progress and is not finished yet.

What are...

Variables
Types of Variables
Ways to Measure Variables
Popula­tions
Samples
Infere­ntial Stats
Descri­ptive Stats
Sampling Errors
Datum
Correl­ation Studies
Experi­ments
Causual Relati­onships
Quasi Experi­mental Studies
Statis­tical Notation
Order of Operations
Discrete
Continuous
The Differ­ences Between Discrete and Continuous
Frequency Distri­bution
Tables Vs. Graphs
Table Examples
Graph Examples
Regular Frequency Distri­butions
Percen­tiles Vs. Percentile Ranks
Interp­ola­tions
 

Summary

Variables can be measured in different ways
There are two main types of variables: discrete and continuous
Discrete variables have distinct values, while continuous variables can take on any value within a range
Sampling is a way to study a population by examining a smaller group called a sample
Infere­ntial statistics use sample data to make predic­tions about a population
Descri­ptive statistics summarize and describe data
Sampling errors can occur when the sample does not accurately represent the population
Correl­ation studies examine the relati­onship between two variables
Experi­ments are used to establish causal relati­onships
Quasi-­exp­eri­mental studies are similar to experi­ments but lack random assignment
Statis­tical notation is used to represent mathem­atical formulas and calcul­ations
Order of operations is important in performing calcul­ations
Frequency distri­butions show the number of times each value occurs in a dataset
Tables and graphs can be used to display frequency distri­butions
Percen­tiles and percentile ranks are used to compare individual scores to a distri­bution
Interp­ola­tions estimate values between known data points