For Tues, Dec 4

Here's what you should try to get done in OLI before next Tues:

Screens 62 - 78 (including Mod 3: Checkpoint 1, and Mod 4: Checkpoint 1)

Unit 1: Summary (EDA) Unit 2, Producing Data: Introduction Mod 3: Sampling Sampling  Wrap-Up - checkpoint Mod 4: Designing Studies Introduction Identifying Study Design Causation and Observational Studies  ---- checkpoint 1

Sampling Causation and experiments

In class on Tuesday, we will begin with a discussion of statistics in the big wide world. Bring to class any uses of statistics which you come across in your daily life, so we can discuss how the statistic(s) is being used.

Lastly, we will discuss some of the concepts related to sampling and study design.

Alison

For Tues, Nov 27

Here's what you should try to get done in OLI before next Tues:

Module 2: Screens 48 - 61 (up through checkpoint 2)

Unit 1, Mod 2: Examining Relationships Case Q-Q: Linear Relationships Causation Wrap-Up (Relationships) - StatTutor Exercise (Body_Image.xls) & Checkpoint 2

Linear relationships (calculate correlation) Linear relationships (calculate & plot regression line) StatTutor: College and high school GPAs (Question 1) Male and female body image (Question 2) Seat location and academic performance (Question 3)

In class on Tuesday, we will begin with a discussion of statistics in the big wide world. Bring to class any uses of statistics which you come across in your daily life, so we can discuss how the statistic(s) is being used.

Next we will discuss some of the concepts related to scatterplots, correlations, linear regression, and causation.

We'll also take a look at the scatterplot of m&m weight and count of m&m's, and consider whether calculating a correlation and a linear regression equation makes sense.

Alison

For Nov 20

Here's what you should try to get done in OLI before next Tues:

Module 2: Screens 34 - 47 (up through checkpoint 1)

Unit 1, Module 2: Examining Relationships Role-Type Classification Case I One Categorical & One Quantitative Variable Case II Two Categorical Variables - Calculate Two-Way Table Case III Two Quantitative Variables: Scatterplots - Create a Scatterplot

Case II: Two-way table Case III: Scatterplot

In class on Tuesday, we will begin with a discussion of statistics in the big wide world. Bring to class any uses of statistics which you come across in your daily life, so we can discuss how the statistic(s) is being used.

We'll also take a look at interpretations of two-way tables, as these are more tricky than they seem.

We'll spend the rest of the time exploring the M&M data. Feel free to bring some graphs and analyses of the data for us to explore.

Alison