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 (2.32.5).
2. MLK Birthday – Holiday; Interpreting standard deviation, rare events and statistical inference,
percentiles, an approximation to s (2.62.7).
3. Boxplots, Outliers, Scatter diagrams (2.82.9); 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 (3.73.8).
5. Random variables and probability distributions (4.14.2);
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 (4.54.6); Continuous random variables (5.1); Omit (5.2); Normally
distributed random variables (5.3), table of the standard normal distribution (ztable).
8. Normally distributed random variables (5.3); Omit (5.45.6); Sampling distributions, properties of
estimators (6.16.2).
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 (8.68.7);
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 (9.39.5).
16. Simple linear regression (11.111.2); 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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View Full Document1 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 inferencemaking 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.
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 Spring '08
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 Statistics, Histograms, Normal Distribution, Small Sample Inferences

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