Exam 7: Statistics and Parameters
Exam 1: Introduction to Statistics24 Questions
Exam 2: Percentages, Graphs and Measures of Central Tendency69 Questions
Exam 3: Measures of Variability99 Questions
Exam 4: The Normal Curve and Z Score115 Questions
Exam 5: Z Scores, T Scores and Other Normal Curve Transformations110 Questions
Exam 6: Probability76 Questions
Exam 7: Statistics and Parameters92 Questions
Exam 8: Parameter Estimates129 Questions
Exam 9: The Fundamentals of Research Methodology173 Questions
Exam 10: The Hypothesis of Difference130 Questions
Exam 11: The Hypothesis of Association: Correlation131 Questions
Exam 12: Analysis of Variance108 Questions
Exam 13: Nominal Categorical Data and the Chi Square89 Questions
Exam 14: Regression Analysis122 Questions
Exam 15: Repeated-Measures and Matched-Subjects Designs Interval Data113 Questions
Exam 16: Non-Parametrics Revisited: the Ordinal Case113 Questions
Exam 17: Tests and Measurements69 Questions
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The problem with the Gallup poll of 1948 (when Dewey was predicted to beat Truman) was that
(Multiple Choice)
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The Central Limit Theorem states that the sampling distribution of means is
(Multiple Choice)
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With a known population mean of 10 and a known standard error of the mean of 1.47, what is the probability of selecting at random a sample whose mean is 8.50 or less?
(Short Answer)
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The z test assumes that the sampling distribution of means is normal.
(True/False)
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The z test draws a comparison between the sample means and the known population mean.
(True/False)
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One measure of the overall sampling error in the entire distribution of sample means is the
(Multiple Choice)
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When a group is selected from a population on the basis of sharing the same percentages of trait characteristics as are known to exist in the population, then the group so selected would constitute
(Multiple Choice)
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When graphing the sampling distribution of means, the various sample means are represented on
(Multiple Choice)
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When sampling error is constant and in one direction, the sampling must be biased.
(True/False)
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The standard deviation of the population of individual scores is 22.50. A given random sample of 100 scores produces a mean of 210. Calculate the standard error of the mean.
(Short Answer)
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When all possible samples have been randomly selected from a single population, the standard deviation of the resulting distribution of means is called
(Multiple Choice)
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Omega University has a total student enrollment of 6000, and all 6000 students were tested for IQ. The mean IQ for the group was 115. This value of 115 constitutes a
(Multiple Choice)
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The standard deviation of the population of individual adult male weight scores is 25 pounds. A random sample of adult males produces a mean of 180 pounds.
a. Calculate the standard error of the mean.
b. Test the hypothesis, via the z test, that this sample could still be representative of a population whose mean is known to be 170 pounds.
(Short Answer)
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If the names of all the students at Omega University were placed in a fishbowl, and the researcher selected out 10% of the names, the resulting sample would be
(Multiple Choice)
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If Omega University had a total student enrollment of 600, and 5999 of these students were selected for testing, the group being test would constitute
(Multiple Choice)
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The Central Limit theorem only applies when the distribution of individual sample scores is normal.
(True/False)
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The standard deviation of the population of adult female spine lengths is .92 inches. A random sample of 40 women was selected and the mean spine length was found to be 26 inches.
a. Calculate the standard error of the mean.
b. Use the z test to determine whether this sample could be representative of a the general population of women whose mean spine length is known to be 24 inches.
(Short Answer)
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