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### 15 Cards in this Set

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 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 One-tailed 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 Two-tailed 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. z-test parametric procedure used in a one-sample 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.