Exam 7: Statistics and Parameters

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The z test assumes knowledge of the two population parameters, the mean and the standard deviation.

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Each point on the abscissa of the distribution of sample means represents

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The standard deviation of the population of adult female height scores is 3 inches. A random sample of 50 women yields a mean height of 64 inches. Calculate the standard error of the mean. 95

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The probability of obtaining a random sample mean which is lower than the population mean is

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The z test assumes that the sample's standard deviation equals the standard error of the mean.

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If 10 Omega University students were selected out of the total population of 6000, and median IQ for this small group equaled 118, then this value of 118 would constitute a

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The mean of the entire distribution of sample means represents

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The sampling distribution of means assumes normality only when

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The standard deviation of the population of individually measured adult male spine lengths is 1.02 inches. A random sample of 25 men is selected and the mean spine length was recorded at 30 inches. a. Calculate the standard error of the mean. b. Test the hypothesis that this sample could be representative of the general population of adult males whose mean spine length is known to be 28 inches.

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A researcher in the area of IQ wishes to measure a sample of children using the WISC III. The standard deviation on the WISC-III is 15. How large a sample should be selected if the researcher wishes to be .95 accurate to within 3 IQ points?

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The probability estimates provided by inferential statistics are only necessary when

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Predicting the characteristics of an entire group, after having measured a small group, is the major goal of

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The z test assumes that

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The major error in inferential statistics is to commit the "sampling error".

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When the standard deviation of the entire distribution of random sample means had been calculated, the resulting value is called

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True population may never be infinite.

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With a known population mean of 68 and a known standard error of the mean of 2.58, what is the probability of selecting at random a sample whose mean is 70 or greater?

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The sum total of all registered voters in Canada represents

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For the z test, the null hypothesis states that the sample and parameter means are equal.

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When the sampling distribution of means is randomly selected from an entire population of individual scores, the highest and lowest individual scores

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