FREC 408

Power Point Presentations

Note:  All files are Adobe Reader PDF files
 
PP for Exam I
PP for Exam II
PP for Exam III
PP for Exam IV
 
Power Point File
Date
Details



Introduction to FREC 408
9/3/02
Overview of the course
Statistics, Data, and Statistical Thinking
 9/4/02
Intro to Statistics and data
Measure of Central Tendency I
 9/7/03
Describing data by using summary measures and by using graphics
Measures of Central Tendency II
 9/9/03
Describing data using the mean, median, mode
GROUP 1 EXERCISE   The answers to the first group exercise
Measures of Dispersion I
 9/14/03
Describing data using measures of variability - variance, standard deviation, range
Measures of Dispersion II
9/16/03 
Empirical Rule, z-scores; rare event approach
GROUP 2 EXERCISE
 9/22/03
The answers to the second group exercise



Probability Theory I
 9/21/03
Introduction to probability theory
Probability Theory II
 9/23/03
More on probability - additive rule; multiplicative rule; conditional probability
Probability Theory III handout
 9/30/03
Probability with Tables, Odds and Odds ratios - handout for class
Probability Theory III slides
9/30/03
Probability with Tables, Odds and Odds Ratios - Dr Ilvento's Power Points
Discrete Random Variables
 9/30/03
Discrete Random Variables
GROUP 3 EXERCISE
 10/05/03
The answers to the third group exercise
Binomial Random Variables
 10/05/03
Binomial random variables, a special group of discrete random variables
Continuous Random Variables
 10/8/03
Continuous random variables with a focus on the Normal distribution
GROUP 4 EXERCISE
 10/13/03
The answers to the fourth group exercise
Probability Problems for Exam 2
 10/16/03
Example probability problems with answers for Exam 2



Sampling Distribution of the Mean
 10/20/03
Sampling distribution of the mean; introducing the standard error; Central Limit Theorem; rare event approach to hypothesis test; intro to confidence interval
Confidence Interval for Large Sample Means and Proportions
 10/22/03
Interval estimates; construction of a confidence Interval for large sample means and proportions; introduction of a Bound of Error approach; introduction of alpha probability of error
GROUP 5 EXERCISE
 11/03/03
The answers to the fifth group exercise
Confidence Interval for Proportions and for Small Sample Means 
 10/28/03
Interval estimates for proportions; construction of a confidence Interval for small sample means using the student-t distribution; figuring the sample size required for a specified Bound of Error
Hypothesis Test I
  11/03/03
Hypothesis tests for means and proprtions; basic elements of a hypothesis test
GROUP 6 EXERCISE
  11/03/03
The answers to the sixth group exercise
Hypothesis Test II
 11/04/03
Hypothesis tests for means and proportions; small sample tests; solving for p instead of alpha; Type I and Type II errors
Difference of Means and Proportions Test I
 11/09/03
Hypothesis tests and Confidence Intervals when there are two independent samples
Difference of Means and Proportions Test II
 
Extra problems that we will work on in class, including reviewing Excel output
GROUP 7 EXERCISE
 11/17/03
The answers to the seventh group exercise
GROUP 8 EXERCISE
11/17/03



Analysis of Variance I (ANOVA I)
11/17/03
Analysis of Variance - introduction; decomposition of sum of squares, hypothesis test, how to use Excel
Analysis of Variance II (ANOVA II)
 11/23/03
Analysis of Variance continued, with Random Block Designs
GROUP 9 EXERCISE
 12/7/03
The answers to the nineth group exercise
Extra ANOVA 
 11/30/03
A two factor ANOVA on several problems, including the cock roach data



Correlation
 11/30/03
Correlation and an introduction to regression
Introduction to Regression
12/03/03 
The basic regression model using a bivariate model - a single independent variable.  We also look at the output of Excel regression. 
Hypothesis Testing in Regression
 12/07/03
Hypothesis testing of coefficients in regression
Dummy Variable Regression
 12/09/03
Dummy variable regression and its cnnection to ANOVA and a difference of means test; 
Multiple Regression
12/09/03
Multiple regression and the use of more than one independent variable