Next:
Practicalities
 
Index
Introductory Statistics
Statistics 60/160, Psychology 10
Practicalities
Logistics
Location:
change of room
Instructors
Email
Office Hours - In Sequoia Hall
Textbook
Approximate Class Schedule
Prerequisites
Exams and Assignments
Feedback after Monday 11/6/00
Homeworks
Homework 1
Solutions to Quiz 1
Homework 2
Soultions to HW 2
Solutions to Quiz 2
Homework 3
Solutions to Quiz 3
Homework 4
Homework 5
Solutions to Quiz 4
Solutions to Quiz 5
Homework 6
Lecture summaries
Introductions
First day: logistics,presentation 9/27/00
Statistical Thinking 9/28/00
Design of Experiments
The Salk polio vaccine trial.
About Placebos
Observational studies
Simpson's paradox
Section on Design of Experiments 10/3/00
Data description
Types of variables
Categorical, qualitative : binary, more than 2 categories.
Stem and leaf
Frequency tables
Histogram
Not Pie-charts
Example:Census data, last digit of age
Choosing the number of bins
Central Tendancy
Mean
Median
Mode
Measures of spread
Root mean square
Standard deviation
Empirical Rule
Bivariate Data
Scatterplots
Correlation
Antje's slides about regression
Reminder:Lines
SD line
Regression
Regression Effect and Regression Fallacy
RMS Error
Regression Line
What are the chances in Random Experiments?
Sample space
What are fair games
Probabilities for the two dice
Conditional Probability
Independence
De Méré's problem
Mutually Exclusive events
More explorations
Binomial Formula
Law of Averages
Box Models
Chance Error
Standard Error
Histograms for probability
Normal Approximation
Sampling
Choosing a good sample
Chance errors in sampling-Chapter 20
How does the size of a sample affect the SE? -Chapter 20
The correction factor-Chapter 20
How does the population size affect the sample size-Chapter 20
The accuracy of percentages -Chap.21
Confidence Intervals
Shingchang's section on confidence intervals
Sampling Distribution for Averages
Theoretical -probability
Statistical context
Confidence interval for the average
Statistics and their SE's
Nourredine's examples
Hypothesis Testing
Context
Large Sample Inference for a Single Sample Mean
t-test, chapter 26, sectrion 6, page 491
Type I error, type II error
Testing differences between two populations
Comparing two large sample means
Resources
General links
By topic used in class
Index
Susan Holmes
2000-11-28