Chapter 13 Flashcards

0
Q

Analysis of variance

A

A statistical significance test for determining whether two or more means are significantly different. F is the ratio of systematic variance to error variance.

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1
Q

Alpha Level

A

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).

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2
Q

Confidence interval

A

An interval of values within which there is a given level of confidence (e.g., 95%) where the population value lies.

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3
Q

Degrees of Freedom

A

A concept used in tests statistical significance; the number of observations that are free to vary to produce a known outcome.

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4
Q

Error Variance

A

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.

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5
Q

Inferential Statistics

A

Statistics designed to determine whether results based on sample data are generalized to a population.

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6
Q

Null Hypothesis

A

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.

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7
Q

Power

A

The probability of correctly rejecting the null hypothesis.

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8
Q

Probablity

A

THe likelihood that a given event ( among a specific set of events) will occur.

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9
Q

Research Hypothesis

A

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.

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10
Q

Sampling Distribution

A

Theoretical distribution of the frequency of all possible outcomes of a study conducted with a given sample size.

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11
Q

Statistical Signifigance

A

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.

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12
Q

Systematic Variance

A

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.

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13
Q

T test

A

A statistical Signifigance test used to compare differences between means.

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14
Q

Type 1 error

A

An incorrect decision to reject the null hypothesis when it is true.

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15
Q

Type II error

A

An incorrect decision to accept the null hypothesis when it is false.