Exam 8: Parameter Estimates
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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For the following set of sample scores, find the estimated standard error of the mean: 12, 11, 9, 4, 8, 2.
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For the following set of sample scores, estimate the population mean within a .95 confidence interval: 3, 6, 5, 3, 3, 7, 7, 5, 6. 112
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Other things being equal, the higher the value of the t ratio
(Multiple Choice)
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A single-sample t ratio is only considered to be significant when
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The only t ratios which can possibly lead to a reject of the null hypothesis are those which are positive in sign.
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When there is a failure to reject Ho, one must conclude that the difference between the sample mean and the population mean is probably not due to chance.
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A researcher is interested in evaluating a certain brand of radial auto tire. Twenty tires are randomly selected from retail outlets throughout the country, and each is placed on a special machine which rotates the tires at a constant speed (equivalent to 55 miles per hour) against the friction equivalent of a 4000 pound auto being driven on a smooth highway. Each tire is run until there is no tread left. The number of miles (in thousands) were as follows: 40, 30, 32, 35, 39, 35, 31, 36, 37, 35, 34, 35, 37, 34, 36, 38, 35, 36, 35, 36.
-Setting alpha at .05, test the hypothesis that this sample of tires could represent a population whose mean was 36.50
(Short Answer)
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With extremely large sample sizes, the difference in values between the estimated population standard deviation and the true standard deviation of the sample become minimal.
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