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19 Cards in this Set
- Front
- Back
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Critical Value of
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critical values are those values that are at the border of the zone of rejection of the null hypothesis
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Calculating a Confidence Interval for a Population Mean Using the t-Distribution
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Example: estimating the population mean of MBAs' average number of years on their first ob from sample data
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Univariate Hypothesis Test of Significance Using the t-Distribution
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Example: a test of hypothesis that average number of defective assemblies = 20/day
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Chi Square Test
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= observed frequency in the ith cell
= expected frequency in the ith cell d.f. =(k-1) where k= number of cells |
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Hypothesis Test of a Proportion Using Z-test
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Example: percent of the state labour force is unionized
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Hypothesis Test of a Proportion Using a t-Test
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Example: Based on a sample of 10, estiamte a proportion parameter- what percent of the state labour force that is unionize?
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Mean
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Arithmetic Average
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Deviation Score
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interval between any individual observation and the mean
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Sample Mean
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Mean of a Sample
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Population Mean
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Mean of a Population
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Average Deviation
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the average of all deviation scores
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Mean Absolute Deviation
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Mean of absolute deviations
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Mean Squared Deviation
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Mean of the squared devations
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Variances
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The sum of the squared deviations divided by d.f.
(Sample and Population) |
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Calculation of a Z-Score
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Z-score
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Standard Error of the Mean
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the standard deviation of the sampling distribution of the mean
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Calculating a Confidence Interval
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Population Mean
Population Proportion |
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Determining Sample Size for Inferences about Means
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Z= standardized value corresponding to chosen confidence level
S= Sample standard deviation or an estimate of population E= acceptable magnitude of error, plus or minus an error factor |
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Determining Sample Size for Inferences about Proportions
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Where:
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