The Trial Blending Space is for evaluation purposes only.
This comprehensive course contains 13 sections with 71 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 71 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:
Learn more about this course on BLENDING EDUCATION
2.1. Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs2.2. Histograms, Frequency Polygons, and Time Series Graphs2.3. Measures of the Location of the Data2.4. Box Plots2.5. Measures of the Center of the Data2.6. 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 Tables3.5. Tree and Venn DiagramsFinal Assessment
4.1. Probability Distribution Function (PDF) for a Discrete Random Variable4.2. Mean or Expected Value and Standard Deviation4.3. Binomial Distribution4.4. Geometric Distribution4.5. Hypergeometric Distribution4.6. Poisson DistributionFinal Assessment
5.1. Continuous Probability Functions5.2. The Uniform Distribution5.3. The Exponential DistributionFinal Assessment
6.1. The Standard Normal Distribution6.2. Using the Normal DistributionFinal Assessment
7.1. The Central Limit Theorem for Sample Means (Averages)7.2. The Central Limit Theorem for Sums7.3. Using the Central Limit TheoremFinal Assessment
8.1. A Single Population Mean using the Normal Distribution8.2. A Single Population Mean using the Student t Distribution8.3. A Population ProportionFinal Assessment
9.1. Null and Alternative Hypotheses9.2. Outcomes and the Type I and Type II Errors9.3. Distribution Needed for Hypothesis Testing9.4. Rare Events, the Sample, Decision and Conclusion9.5. Additional Information and Full Hypothesis Test ExamplesFinal Assessment
10.1. Two Population Means with Unknown Standard Deviations10.2. Two Population Means with Known Standard Deviations10.3. Comparing Two Independent Population Proportions10.4. Matched or Paired SamplesFinal Assessment
11.1. Facts About the Chi-Square Distribution11.2. Goodness-of-Fit Test11.3. Test of Independence11.4. Test for Homogeneity11.5. Comparison of the Chi-Square Tests11.6. Test of a Single VarianceFinal Assessment
12.1. Linear Equations12.2. Scatter Plots12.3. The Regression Equation12.4. Testing the Significance of the Correlation Coefficient12.5. Prediction12.6. OutliersFinal Assessment
13.1. One-Way ANOVA13.2. The F Distribution and the F-Ratio13.3. Facts About the F Distribution13.4. Test of Two VariancesFinal Assessment
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