STA 2023
Introduction to Statistics I, Course Outline
Spring, 2002
WEEK
TOPICS
1. Introduction (1.1  1.4, 1.6)*; Omit (1.5); Omit (2.1); Measures of central tendency (2.32.4).
2. Relative frequency distributions and histograms (2.2); Measures of variability (2.42.5); Interpret
ing the standard deviation, rare events and statistical inference, percentiles, an approximation to
s (2.62.7); Stem and leaf displays (2.2).
3. MLK Birthday – Holiday;
Quiz 1
; Boxplots, Outliers, Scatter diagrams (2.82.9); Sample spaces,
simple events, events, and the probability of an event (3.1);
4. Unions and intersections (3.2); Complementary events (3.3); Mutually exclusive events, the Addi
tive Rule (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); Table of
the standard normal distribution (ztable); Normally distributed random variables (5.3); Omit
(5.45.6).
8. Sampling distributions, properties of estimators (6.16.2); 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).
9. SPRING BREAK!!!
10. Large sample confidence interval for a population proportion (7.3); Determining the sample size
(7.4); Hypothesis testing (general considerations) (8.1); Large sample hypothesis tests for a popu
lation mean (8.2).
11. Large sample hypothesis tests for a population mean (8.2); Observed significance levels (8.3); Large
sample hypothesis tests for a population proportion (8.5).
12. Review for Exam 2 (time permitting);
EXAM 2
; Small sample inferences about a population
mean (7.2, 8.4); Omit (8.68.7).
13. Small sample observed significance levels (8.4); Inferences concerning the difference in two popu
lation means (9.1)
14. Design and analysis of the paired difference experiment (9.2);
Quiz 4
; Comparing two population
proportions (9.3); Omit (9.49.5).
15. Deterministic and probabilistic models (11.1); Least squares estimates for slope and intercept
(11.2); Understanding the simple linear regression model (11.3); Estimating the variance in simple
linear regression (11.3); Hypothesis tests about the slope.
16. More on simple linear regression; Review (if time is available).
*Numbers in parentheses indicate chapter and section numbers.
For example, (1.2) represents
Chapter 1, Section 2.
1
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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
 Ripol
 Statistics, Histograms, Normal Distribution, sample hypothesis tests

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