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CH 5, 6, 7, & 8

Quiz yourself by thinking what should be in each of the black spaces below before clicking on it to display the answer.
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Question
Answer
show An original, untransformed observation or measurement.  
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show A standardized score with a sign that indicates direction from the mean (+ above µ and – below µ), and a numerical value equal to the distance from the mean measured in standard deviation.  
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show A transformation that changes raw scores (X values) into z-scores.  
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show A score that has been transformed into a standard from.  
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show An entire distribution that has been transformed to create predetermined values for µ and Theta  
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Z=   show
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ZO =   show
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X =   show
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Probability   show
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show A part of the whole usually expressed as a fraction  
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Random sample   show
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Sampling with replacement   show
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Independent events   show
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show A symmetrical, bell-shaped distribution with proportions corresponding to those listed in the unit normal table.  
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Unit normal table   show
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Percentile   show
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show The percentage of a distribution that falls below a specific score.  
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show the distribution of probabilities, for each possible outcome, for a series of observations of a dichotomous variable.  
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(A)p =   show
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show X – pn / √npq  
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show pn  
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show √npq  
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show The set of sample means from all the possible random samples for a specific sample size (n) from a specific population  
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Sampling distribution   show
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Expected value of M   show
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Standard error of M   show
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show A mathematical theorem that specifies the characteristics of the distribution of sample means.  
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Om=   show
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Z =   show
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show A statistical procedure that uses data from a sample to test a hypothesis about a population  
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show The null hypothesis states that there is no effect, no difference, or no relationship.  
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show The alternative hypothesis states that there is an effect, there is a difference, or there is a relationship.  
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show A type I error is rejecting a true null hypothesis. You have concluded that a treatment does have an effect when actually it does not.  
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show A type II error is failing to reject a false null hypothesis. The test fails to detect a real treatment effect.  
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show Alpha is a probability value that defines the very unlikely outcomes if the mull hypothesis is true. Alpha also is the probability of committing a Type I error.  
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show The level of significance is the alpha level, which measures the probability of a Type I error.  
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show The critical region consists of outcomes that are very unlikely to be obtained if the null hypothesis is true. The term very unlikely is defined by (alpha) a.  
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Test statistic   show
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Beta (ß)   show
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show A directional test is a hypothesis test that includes a directional prediction in the statement of the hypotheses and place the critical region entirely in one tail of the distribution.  
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Effect size   show
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Power   show
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show a  
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Type II Error) p   show
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Cohen’s d   show
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