Chapter 13 Flashcards
Analysis of variance
A statistical significance test for determining whether two or more means are significantly different. F is the ratio of systematic variance to error variance.
Alpha Level
The probability of incorrectly rejecting the null hypothesis that is used by a researcher to decide whether an outcome of a study is statistically significant ( most commonly, researchers use a probability of .05).
Confidence interval
An interval of values within which there is a given level of confidence (e.g., 95%) where the population value lies.
Degrees of Freedom
A concept used in tests statistical significance; the number of observations that are free to vary to produce a known outcome.
Error Variance
Random Variablility in a set of scores that is not the result of the independent variable. Statistically, the variability of each score from its group mean.
Inferential Statistics
Statistics designed to determine whether results based on sample data are generalized to a population.
Null Hypothesis
THe hypothesis, used for statistical purposes, that the variables under investigation are not related in the population, that any observed effect based on sample results is due to random error.
Power
The probability of correctly rejecting the null hypothesis.
Probablity
THe likelihood that a given event ( among a specific set of events) will occur.
Research Hypothesis
The hypothesis that the variables under investigation are related in the population-that the observed effect based on sample data is true in the population.
Sampling Distribution
Theoretical distribution of the frequency of all possible outcomes of a study conducted with a given sample size.
Statistical Signifigance
Rejection of the null hypothesis when an outcome has a low Probablity of occurrence (usually .05 or less) if, in fact, the null hypothesis is correct.
Systematic Variance
Variability in a set of scores that is the result of the independent variable; statistically, the variability of each group mean from the grand mean of all subjects.
T test
A statistical Signifigance test used to compare differences between means.
Type 1 error
An incorrect decision to reject the null hypothesis when it is true.