Statistics 110A

Course Outline


 
Theme Reading ActivStats Key Concept
Experimental Design

(3 sessions)

10.1-10.3
Chapter 11
Difference between Obs. and Controlled Studies
Summarizing Data -- graphics

(1) 

chpts 1.2-1.5 Chpts. 2 and 3 Variation of a variable
Summarizing Data -numeric

(1) 

2.1-2.3,2.6-2.7 Chapts. 4 Exploratory analysis
Two-variable relation summaries and correlation

(1)

p.114-119, 121-127 (weak) 7.2,8.1(esp. "cor. and rltnshp strength"),

8.2,8.3

z-scores, types of relationships
Intro to Regression

(2)

3.1,3.5

(book is weak)

9.3 (maybe 9.4) How to create and interpret LS regression lines 
Empirical Expected Values and Simulations

(1.5)

4.1-4.2, 4.3? What is an expected value?

5-step Model

Why "empirical"?

Basic Concepts of Theoretical Probability

(1)

5.5, 5.6 13.1 Definitions, (what is probability?), equally likely outcomes, combining events
Theoretical Probability: multiple events

(1)

14.1,5.9 &

14.3

13.2,14 Conditional prob., independence, mutually exclusive events
Empirical Probability
(1)
5.1-5.4 13.2 Compare empirical probabilities with what you think of as probability.
Bayes Theorem and sampling without replacement

(1)

5.7 know how and when to use Bayes Theorem
Intro to Hypothesis Testing

(1)

6.1-6.3 19.1 Sample vs. Population
Empirical Chi-square testing (1) 7.1-7.4
The Probability Model

(.5)

see handouts 15 Random variables continuous and discrete
Discrete Distributions

(1.5)

8.1-8.3, 14.2 Binomial, uniform, 

poisson, hypergeometric Counting.

Continuous Distributions

(2)

8.4-8.9 Uniform, Normal, applications of normal

Chi-Square

Theoretical Expectations and Variance (1) 14.4 15.1 How to calculate, 

\short-cuts

Measurements

(1)

9.1-9.6 2.2 measurement error, bias,
Intro to Inference

(1)

10.4 15.2 Parameters, Statistics, Standard error
Confidence Intervals

(2)

11.1-11.3 17
CLT

(1)

11.4 16.2
CI for population mean, proportion(1) 11.5-11.6
Other CIs 11.7

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