Weekly Calendar:
Classes 1-5
Unit 5. Probability Distribution Functions and the Normal Distribution
Objectives |
· Recognize and understand discrete probability distribution functions, in general. · State the properties of a normal probability distribution. · Use the Empirical Rule to find probabilities related to normal distributions. · Use technology to determine probabilities associated with normal distributions and interpret the probabilities. · Find and interpret z-scores related to normal distributions. |
Reference: Chapters 4 and 6 of Introductory Statistics- OpenStax
Section 4.1. Probability Distribution Function (PDF) for a Discrete Random Variable
Section 6.1. The Standard Normal Distribution
Section 6.2. Using the Normal Distribution
Classes 6-9
Unit 6. The Central Limit Theorem
Objectives |
· Apply and interpret the central limit theorem for sample proportions. · Apply and interpret the central limit theorem for sample means. |
Reference: Chapter 7 of Introductory Statistics- OpenStax
Section 7.1. The Central Limit Theorem for Sample Means
Section 7.3. Using the Central Limit Theorem
Reference: See Attachment
Section 7.4 – Population and Sample Proportion
Classes 10-21
Unit 7. Confidence Intervals
Objectives |
· Find, interpret and use confidence intervals for a single population mean. · Find, interpret and use confidence intervals for a single population proportion. · Discriminate between problems applying the normal and the Student’s t distributions. · Calculate the sample size required to estimate a population mean and a population proportion given a desired confidence level and margin of error. · Use confidence intervals to compare two population means. · Use confidence intervals to compare two population proportions. |
Reference: Chapter 8 of Introductory Statistics- OpenStax
Section 8.1. A Single Population Mean using the Normal Distribution
Section 8.2. A Single Population Mean using the Student t Distribution
Section 8.3. A Population Proportion
Reference: OpenIntro Statistics
5.3.1 Confidence interval for a difference of means
6.2.2 Confidence intervals for p1-p2
Classes 22-30
Unit 8. Hypothesis Testing With One Sample
Objectives |
· Conduct and interpret hypothesis tests for a single population mean, unknown. · Conduct and interpret hypothesis tests for a single population proportion. · Understand the meaning of a p-value and how it is used. · Understand the meaning of significance level and how it is used. · Differentiate between Type I and Type II Errors. |
Reference: Chapter 8 of Introductory Statistics- OpenStax
Section 9.1. Null and Alternative Hypotheses
Section 9.2. Outcomes and the Type I and Type II Errors
Section 9.3. Distribution Needed for Hypothesis Testing
Section 9.4. Rare Events, the Sample, Decision and Conclusion
Section 9.5. Additional Information and Full Hypothesis Test
Classes 31-36
Unit 9. Hypothesis Testing With Two Samples
Objectives |
· Classify hypothesis tests by type. · Conduct and interpret hypothesis tests for two population means, unknown. · Conduct and interpret hypothesis tests for two population proportions. |
Reference: Chapter 9 of Introductory Statistics- OpenStax
Section 10.1. Two Population Means with Unknown Standard Deviations
Section 10.3. Comparing Two Independent Population Proportions
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