Show:
The Basics
Types
Characteristics
Levels of measurement
Types of sampling
100
The science of collecting, organizing, summarizing and analyzing information?
Statistics
100

A mathematical tool to study randomness

Probability

100
Variables
What are characteristics of individuals within a population called?
100

The number of times a data value occurs

Frequency

100
separating population into homogeneous groups called strata and obtaining a random sample from each strata
Stratified Sampling
200
The entire group of individuals to be studied
A Population
200
A table is mostly used in this kind of statistics
Descriptive Statistics
200
A type of variable based on attributes
qualitative variable
200

The type of variable that causes a change in another.

Explanatory variable
200
method of sampling every kth individual
Systematic Sample
300
A subset of a population
A sample
300
What statistics makes claims about the population?
Inferential Statistics
300
What is a numerical measure called in terms of variables?
Quantitative Variable
300

The ratio of the number of times a value of the data occurs in the set of all outcomes to the total number of outcomes

Relative frequency

300

Any member of the population is equally likely to be chosen in this method.

Simple random sample

400

Any individual or object to be measured

Experimental Unit

400
What is a numerical summary based on a sample?
A statistic
400
What is a variable that has an infinite number of possible values?
Continuous Variable
400

The affected variable

Response variable

400

A way of sampling by taking groups of a population and randomly selecting groups to survey.

Cluster Sample

500

A set of observations

Data

500

What is a numerical summary of the population?

A parameter

500
What is a variable in which it can be counted and is finite?
Discrete Variable
500

Additional variables that can cloud a study

Lurking variables

500

This term defines a "a sample collected from a population and some members of the population are not as likely to be chosen as others"

Sampling Bias