The Trial Blending Space is for evaluation purposes only.
This comprehensive course contains 13 sections with 74 self-grading lessons, including final assessments. The first section is available to try for free.
This is the final assessment for Sampling and Data. (Available when you subscribe.)
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The full course includes all 74 lessons, including 13 Final Assessments with Instructor Answer Keys.
Subscribe to unlock the rest of this course in the Blending Space: The Blending Space is your own exclusive teaching space where you can blend all of your resources with a ready-to-use comprehensive course. Use your course right away, or customize it to your needs.
The Blending Space features:
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2.1. Display Data2.2. Measures of the Location of the Data2.3. Measures of the Center of the Data2.4. Sigma Notation and Calculating the Arithmetic Mean2.5. Geometric Mean2.6. Skewness and the Mean, Median, and Mode2.7. Measures of the Spread of the DataFinal Assessment
3.1. Terminology3.2. Independent and Mutually Exclusive Events3.3. Two Basic Rules of Probability3.4. Contingency Tables and Probability Trees3.5. Venn DiagramsFinal Assessment
4.1. Hypergeometric Distribution4.2. Binomial Distribution4.3. Geometric Distribution4.4. Poisson DistributionFinal Assessment
5.1. Properties of Continuous Probability Density Functions5.2. The Uniform Distribution5.3. The Exponential DistributionFinal Assessment
6.1. The Standard Normal Distribution6.2. Using the Normal Distribution6.3. Estimating the Binomial with the Normal DistributionFinal Assessment
7.1. The Central Limit Theorem for Sample Means7.2. Using the Central Limit Theorem7.3. The Central Limit Theorem for Proportions7.4. Finite Population Correction FactorFinal Assessment
8.1. A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size8.2. A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case8.3. A Confidence Interval for A Population Proportion8.4. Calculating the Sample Size n: Continuous and Binary Random VariablesFinal Assessment
9.1. Null and Alternative Hypotheses9.2. Outcomes and the Type I and Type II Errors9.3. Distribution Needed for Hypothesis Testing9.4. Full Hypothesis Test ExamplesFinal Assessment
10.1. Comparing Two Independent Population Means10.2. Cohen's Standards for Small, Medium, and Large Effect Sizes10.3. Test for Differences in Means: Assuming Equal Population Variances10.4. Comparing Two Independent Population Proportions10.5. Two Population Means with Known Standard Deviations10.6. Matched or Paired SamplesFinal Assessment
11.1. Facts About the Chi-Square Distribution11.2. Test of a Single Variance11.3. Goodness-of-Fit Test11.4. Test of Independence11.5. Test for Homogeneity11.6. Comparison of the Chi-Square TestsFinal Assessment
13.1. The Correlation Coefficient r13.2. Testing the Significance of the Correlation Coefficient13.3. Linear Equations13.4. The Regression Equation13.5. Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation13.6. Predicting with a Regression Equation13.7. How to Use Microsoft Excel® for Regression AnalysisFinal Assessment
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