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15 Cards in this Set
 Front
 Back
Alpha

Determines the region of rejection and the probabality of making a Type I error.


Alternative Hypothesis

(Ha) describes the population mew by the sample mean if there is a relationship.


Experimental Hypothesis

Two statements made before a study is begun, describing the predicted relationship that may or may not be demonstrated by the study.


Nonparametric Statistics

Inferential procedures that do not require stringent assumptions about the raw score population represented by the sample data.


Nonsignificant

Describes results that are considered likely to result from chance sampling error when the predicted relationship does not exist; it indicates failure to reject the null hypothesis.


Null Hypothesis

describes the population parameters that the sample data represent if the predicted relationship does not exist; symbolized by H0


Onetailed Test

increase or decrease


Parametric Statistics

Inferential procedures that require certain assumptions about the raw score population represented by the sample data; usually used with scores most appropriately described by the mean


Power

The probability that a statistical test will detect a true relationship and allow the rejection of a false null hypothesis; the probability of avoiding a Type II error


Significant

Describes results that are too unlikely to accept as resulting from chance, sampling error when the predicted relationship does not exist; it indicates rejection of the null hypothesis


Statistical Hypothesis

Two statements (H0 and Ha) that describe the population parameters the sample statistics will represent if the predicted relationship exists or does not exist


Twotailed Test

Predicts a relationship but not whether scores will increase or decrease.


Type I error

When using the alternative hypothesis, claiming there is a relationship, when, in fact, there isn't one.


Type II error

When using the null hypothesis. Claiming there is no relationship, when, in fact there is one.


ztest

parametric procedure used in a onesample experiment if (a) the population contains normally distributed, interval or ration dependent scores, and (b) the standard deviation of the population the estimated variance of a score is known.
