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

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
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
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
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
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 5

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

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online