Algebra 2 Unit 1 Quiz Review

Quantitive Data

Numerical Data that can be counted or measured

Bivariate Data

Represented by two varoables that look at the relationship between them

The Data Cycle

Formulate Questions →Collect or acquire data →Organize and represent data →Analyze and communicate results

Independent Variable

A variable (X) who’s variation does no depend on that of another

Dependent Variable

A variable (Y) who’s variation depends on that of another

Statistical Question

A question that can be answered by collecting data and whose data answer may vary depending on the sample the data is collected from

Research

Using secondary sources to find existing data

Surveys

Questionnaires/interviews asking people to directly about their experiences, attitudes or opinions

Observations

Made by watching members of the sample and nothing particular characteristics

Scientific Experiments

Creating a cause and effect relationship between variables

Sampling Bias

A flawed sampling process that produces an unrepresentative sample

Observer Bias

A tendency for observers to see what they expect to see

Measurement Bias

Inaccurate measurement where the data consistently over/under estimates the true value of the event

Corelation Coeffcient (r)

A statistic that describes both the strength and direction of a linear correlation, r is only for lines

Correlation

A relationship between 2 variables

Causation

A relationship between 2 variables where one event causes another

Above .5

Strong

Below .5

Weak

Linear

Increases or decreases in a constant manner, changes by a constant number

Exponential

Grows or deccays rapidly and then levels off, changes by a constant percentage

Quadratic

Changes direction smoothly and has a minimum or maximum

Linear Equation

y~mx+b

Exponential Equation

y~ab^x

Quadratic Equation

y= ax² + bx + c