Last statistics class -- project presentations

To start we will discuss the last bit of the ANOVA analyses from last week.

We will then move to the project presentations. Please have your analyses and graphs organized for display. We'll project the results on the screen (assuming your computer can connect to the projector) and you can walk us through what you found.

With any remaining time we will discuss the structure and implementation of this year's class.

For May 29--ANOVA

Keep working to finish up the OLI course :)

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• talk about projects
• try out hypothesis testing for ANOVA

For May 22....if you've kept up, this is the last bit of OLI!!

Here's what to aim to complete in OLI this week....drum roll, please:

Screens 251-261...YAY, it's a wrap, you finished.
Unit 4, Module 14: Inference for Relationships continued

Case C--> C....this is chi-square

Case Q--> Q...this is regression

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• talk about projects
• try out hypothesis testing for two independent samples
• and if time, try out hypothesis testing for matched pairs

For May 15

Here's what to aim to complete in OLI this week:

Screens 243-250
Unit 4, Module 13: Inference for Relationships

ANOVA

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• finish discussing the basic concepts in hypothesis testing
• try out hypothesis testing for two independent samples

For May 8 -- remember to bring an example Ho and Ha

First, this is a reminder to think up a sample research question, to figure out the null hypothesis (Ho) and the alternative hypothesis (Ha), and to be ready to share with the class.

Here's what to aim to complete in OLI this week:

Screens 235-242
Unit 4, Module 13: Inference for Relationships

Matched Pairs

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• share your sample research questions and corresponding Ho and Ha
• continue with discussing steps 2-4 in hypothesis testing

For May 1

Here's what to aim to complete in OLI this week:

Screens 222-234
Unit 4, Module 12: Hypothesis Testing

Type I and Type II Errors (screens 222-223, optional)

Unit 4, Module 13: Inference for Relationships

Two Independent Samples

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• continue discussing concepts related to confidence interval
• discuss hypothesis testing and devise examples which we could possibly test

For April 24 -- bring your simulation for estimate of # of German tanks

Here's what to aim to complete in OLI this week:

Screens 212-221
Unit 4, Module 12: Hypothesis Testing

Hypothesis Testing for the Population Mean

Wrap-up

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• consider the results of the German tank simulations from last class and compare to other possible statistics

For Apr 10

Sorry for the late notice....of course you know to continue moving head with your studies :)

Here's what to aim to complete in OLI this week:

Screens 192-211
Unit 4, Module 12: Hypothesis Testing

Overview 
Hypothesis Testing for the Population Proportion p

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• work in groups to design a point estimate of the number of German tanks produced

If you were not in class last week, here is an introduction to the German tank problem:

As written in a 1947 research article: "In early 1943 the Economic Warfare Division of the American Embassy in London started to analyze markings and serial numbers obtained from captured German equipment in order to obtain estimates of German war production and strength. ... The first product to be so analyzed was tires, and after this tanks, trucks, guns, flying bombs, and rockets were studied. Aircraft markings were not studied by the Economic Warfare Division, since, by previous agreement, the British Air Ministry bore the responsibility for all estimates on aircraft production. The uses of the intelligence derived from the markings were varied. At times it helped decide the target systems of the air forces; on other occasions it gave indications of German strength in weapons such as tanks and rockets. After the war official statistics on German war production became available, so that it is now possible to evaluate the accuracy of the estimates which were made. Part II presents a summary scatter diagram of the estimates and official data along with a more detailed treatment of certain estimates."

The markings used in the analysis of tanks were serial numbers from captured equipment. These serial numbers provided a sample that was very small, but reliable. The statisticians made one assumption: that the Germans had logically numbered their tanks in the order in which they were produced. (This deduction turned out to be right.) It was enough to enable the statisticians to make an estimate of the total number of tanks that had been produced up to any given moment.  The records of the Speer Ministry, which was in charge of Germany's war production, were recovered after the war.  Special studies made after the war discovered that the British and U.S. estimates of German production were more accurate and timely than Germany's own estimates.

For April 3

Here's what to aim to complete in OLI by Thurs, :

Screens 188-191
Unit 4, Module 11: Estimation

Interval Estimation -- confidence interval for the population proportion

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• review concepts related to sampling distributions and point estimation
• begin work on the German tank problem

For Mar 27...keep working to catch up :)

Here's what to aim to complete in OLI by Thurs, :

Screens 179-187
Unit 4, Module 11: Estimation

Interval Estimation -- confidence interval for the population mean

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• review concepts related to sampling distributions
• investigate the sample distribution for each of the colors in our m&m data

For Mar 20

Here's what to aim to complete in OLI by Thurs, :

Screens 175-178
Unit 4, Module 11: Estimation

Point Estimation

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• finish reviewing concepts related to the Normal distribution
• study our m&m data to see if any of the variables might be Normally distributed, and then consider what we can do to confirm this. 
• If Normal, we will standardize a few values.

For Mar 13......and keep on catching up!!

Here's what to aim to complete in OLI by Thurs, :

Screens 170-174
Unit 3, Summary (Probability)
Unit 4, Inference

Introduction

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• calculate the mean (expected value) in the coins, dice, cards activity
• review concepts related to continuous variables, and in particular the Normal distribution.

For Mar 6...and if you're behind, spend some extra time catching up :)

Here's what to aim to complete in OLI by Thurs, :

Screens 166-169
Unit 3, Mod 9: Sampling Distributions

Behavior of Sample Mean

Wrap-up

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• continue with reviewing concepts related to random variables (module 8)
• do a few random variable problems together
• begin the coins, dice, cards activity

For Feb 27

Here's what to aim to complete in OLI by Thurs:

Screens 160-165
Unit 3, Mod 9: Sampling Distributions

Intro to Sampling Distributions

Parameters vs. Statistics

Behavior of Sample Proportion

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• finish reviewing concepts with conditional probability (module 7)
• begin reviewing concepts related to random variables (module 8)
• finish work on conditional probabilities with m&ms lab

For Feb 20

Here's what to aim to complete in OLI by Thurs:

Screens 148-159
Unit 3, Mod 8: Random Variables

Continuous random variables 

--Normal random variables

--Standard Normal table

--Applications

--Normal Approximation to the Binomial

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• continue with reviewing the concepts related to conditional probability
• work on conditional probabilities with m&ms lab

For Feb 13

Here's what to aim to complete in OLI by Thurs:

Screens 141-147
Unit 3, Mod 8: Random Variables

Discrete random variables - Binomial random variables

Introduction to continuous random variables

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• continue with reviewing the concepts related to conditional probability
• work on conditional probabilities with m&ms lab

For Thurs, Feb 6

Here's what to aim to complete in OLI by Thurs:

Screens 133-140
Unit 3, Mod 8: Random Variables

Discrete random variables - mean and variance

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• review the concepts related to conditional probability
• work on some group problem solving

For Thurs, Jan 30

Here's what to aim to complete in OLI by Thurs:

Screens 124-132
Unit 3, Mod 8: Random Variables

Discrete random variables - Probability distribution

In class on Thurs, we will

• talk about stats we've noticed in the big wide world
• carry on with reviewing probability concepts
• have some more "random" fun

For Thurs, Jan 23

Here's what to aim to complete in OLI by Thurs:

Screens 118-123
Unit 3, Mod 7: Conditional Probability and Independence

The general multiplication rule
Probability trees

Wrap-up

In class on Thurs, we will 

• finish up your simulation of pure guessing on a 5-question T/F test and discuss results 
• talk about stats we've noticed in the big wide world
• carry on with reviewing probability concepts
• have some "random" fun

For Thurs, Jan 16

Here's what to aim to complete in OLI by Thurs:

Screens 112-117
Unit 3, Mod 7: Conditional Probability and Independence

Conditional Probability - Investigate Conditional Probability and Complement Rule
Independence - Checking the Independence of Two Events

In class on Thurs, we will continue with our discussion of probability concepts and if we have time do an activity related to guessing on a test.

Reminder: Identify a random experiment for discussion in class. Identify the sample space and outcomes, and name a relevant event.