Lessons

All smartboard lessons are posted. See instructor or fellow classmates for other notes.

Chapter 1 Lessons:

ch 1.1 and 1.2

ch 1.3 experiments

Abuses of Statistics

Chapter 2 Lessons:

ch 2.1 and 2.2

Ch 2.3 graphing data

ch 2.4 Measures of central tendency

ch 2.5 Measures of dispersion

ch 2.6 Measures of dispersion

ch 2.7 box-plots

Excel Lessons:

graphing lesson day 1

Graphing lesson #2: How to create Scatterplot lecture and determine correlation

Data Analysis lecture

Chapter 3 Lessons:

ch 3.1 lesson

ch 3.1 and 3.2

ch 3.3: Addition rule

ch 3.4 multiplication method

ch 3.5 conditional probability

ch 3.7: Permutations and Combinations

 Chapter 4 lessons:

ch 4.1 discrete vs continuous

ch 4.2 standard deviation and means

ch 4.3 binomials probability distributions

ch 4.4 short cut method

ch 4.5 poisson distribution

Ch 5 Lessons

 ch 5.1 and 5.2 Standard Normal Distributions

ch 5.3 Finding Probabilities of Normal Distributions

ch 5.4 Finding Values

ch 5.5 Central Limit Theorem

ch 5.6 binomial probabilities

Chapter 6 lessons:

ch 6.2 population means for large samples

ch 6.3 population means for small samples

ch 6.4 fiding n

6.5 population proportions

ch 6.6 Chi squared

 chapter 7 lessons:

ch 7.2 Null Hypothesis

ch 7.3 large samples

ch 7.4 small samples

ch 7.5 proportions

ch 7.6 standard deviations

ch 8 lessons:

ch 8.2 2 sample means

ch 8.3 matched pairs

ch 8.4 Two proportions

Ch 8.5 variances

ch 8.6 small independent samples

Chapter 9 Lessons:

ch 9.2 correlation

ch 9.3 regression