wacsylsp01a

# wacsylsp01a - STA 2023 Introduction to Statistics I Course...

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STA 2023 Introduction to Statistics I, Course Outline Spring, 2001 WEEK TOPICS 1. Introduction (1.1 - 1.4, 1.6)*; Omit (1.5); Omit (2.1); Relative frequency distributions and his- tograms (2.2); Measures of central tendency and variability (2.3-2.5). 2. MLK Birthday – Holiday; Interpreting standard deviation, rare events and statistical inference, percentiles, an approximation to s (2.6-2.7). 3. Boxplots, Outliers, Scatter diagrams (2.8-2.9); Sample spaces, simple events, events, and the prob- ability of an event (3.1); Quiz 1 ; Unions and intersections (3.2); Mutually exclusive events, the Additive Rule (3.4); Complementary events (3.3). 4. Conditional probability (3.5); The Multiplicative Rule, Independence (3.6); Omit (3.7-3.8). 5. Random variables and probability distributions (4.1-4.2); Quiz 2 ; Expected value and variance of discrete random variables (4.3). 6. Review for Exam 1 (time permitting); EXAM 1 ; Binomial random variables, Mean and variance of the binomial distribution (4.4). 7. Binomial tables (4.4); Omit (4.5-4.6); Continuous random variables (5.1); Omit (5.2); Normally distributed random variables (5.3), table of the standard normal distribution (z-table). 8. Normally distributed random variables (5.3); Omit (5.4-5.6); Sampling distributions, properties of estimators (6.1-6.2). 9. SPRING BREAK!!! 10. The sampling distribution of the sample mean, the Central Limit Theorem (6.3); Quiz 3 ; Large sample conﬁdence interval for a population mean (7.1). 11. Large sample conﬁdence interval for a population proportion (7.3); Determining the sample size (7.4); Hypothesis testing (general considerations) (8.1). 12. Review for Exam 2 (time permitting); EXAM 2 ; Large sample hypothesis tests for a population mean (8.2). 13. Large sample hypothesis tests for a population proportion (8.5); Observed signiﬁcance levels (8.3). 14. Small sample inferences about a population mean (7.2, 8.4); Omit (8.6-8.7); Quiz 4 ; Large sample inferences concerning the diFerence in two population means (9.1). 15. Small sample inferences about a diFerence in two population means (9.1); Design and analysis of the paired diFerence experiment (9.2); Omit (9.3-9.5). 16. Simple linear regression (11.1-11.2); Review (if time is available). *Numbers in parentheses indicate chapter and section numbers. ±or example, (1.2) represents Chapter 1, Section 2. 1

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1 COURSE OBJECTIVES: Inference, in the form of estimates, decisions, and predictions, plays a vital role in everyday life and in organized research. In many cases, a knowledge of statistics will allow a quantitative assessment of the risk involved with each inference and, hence, improve the basic knowledge of inference-making procedures for undergraduates with diverse academic backgrounds. STA 2023 is designed as both a terminal course for those not likely to be intimately involved in research in their academic ﬁelds, and as an introductory course for those who are. REQUIRED TEXT
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wacsylsp01a - STA 2023 Introduction to Statistics I Course...

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