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Type 1 Error

Ratio Data

Type 2 Error

Types of Univariate Research

Ordinal Data

Bell Shaped Curve

Interval Data

Nominal Data

Correlational Research

Dependent Variable

Independent Variable

Failing to reject the null hypothesis when, in fact, it is false. A “missed opportunity”

When you say the null hypothesis is false when it is actually true. “False Alarm!”

Equal intervals between data in a set. Examples: temperature; GRE scores; IQ scores.

number is used to label or identify. Examples: jersey number; male/female; social security number

Aims to demonstrate/measure relationships (not experimental)

1. Characterize the study sample 2. Characterize a problem or phenomenon 3. Document incidence/prevalence 4. Establish norms 5. Document developmental phenomena 6. Document case studies

number used to convey rank. Examples: winner of race; top-40; class ranks.

variable being manipulated by the experimenter

variable that changes as a result of manipulation

constant intervals with an absolute zero. Examples: height; weight; Kelvin scale.