Students should always bring their own disks to the lab and get in the habit of saving everything on to their own disk. Data files are in the bchance/Math 37 Data folder in the Faculty Data Folder. Students can save their own version of the file, but can't make changes to existing files.

New in this edition: Some labs have been updated or replaced. New labs are denoted by "first run" or "new data set" if only the data set was altered.

Lab 1: Introduction to Netscape

Step them through the computer commands to introduce them to the Power Macs. Have them view the course page in Netscape and fill out and submit the questionnaire. If time, start them with Microsoft Word. Instructions for subscribing to listserv for the course.

Lab 2 - How Many Drops? (Full) new

Materials: pennies, water, medicine droppers, additives

Students design their own one-factor experiment to measure the number of water drops that can fit on the head of a penny. Context is in terms of surface tension. Students are responsible for constructing the study protocol and informally discussing the results

Materials: "fan.mtw" should be on the computers

Concepts: Descriptive Statistics, Outliers (inc 1.5 IQR), Histograms, Granularity, Mean vs. Median and response to skewness and outliers.

Lab 4 - How's Your Heart? (Full)

Materials: Will collect data as partners before the lab and turn in mean and standard deviation calculations before lab (is a form to use in the lab manual), instructor will create "class heart rate.mtw" (15 sec, 30 sec, gender). New focus is on three types of variability: measurement error, natural variability, and variability due to an identifiable factor.

Concepts: Mean, Range, Standard Deviation, Graphs, Types of Variability

Lab 5 - Standard Normal Distributions

Materials: Standard Distributions program is on the computers.

Students should bring their textbooks to lab this week for Table A.

Concepts: Standard Normal calculations, including area above, below, between, finding X from Z and Z from X, probabilities, Empirical Rule.

Lab 6 - Where's the Goat? (Monte Hall Problem)

Materials: Where's the Goat program should be on the computers.

Concepts: Probability as long run relative frequency, compare simulated results to calculated probabilities (via equally likely outcomes or probability trees and/or addition and multiplication rules).

Lab 7 - Sampling Distributions new instructions

Materials: Sampling Distributions program is on the computers.

Concepts: Sampling distributions (mean and variability) of sample mean for various sample sizes and population distributions, CLT.

Take pretest and then work through the problems to review their answers.

Lab 8 - Coke vs. Pepsi (Full)

Materials: Will collect data as class before the lab (soda.mtw)

(Supply soda, crackers, dixie cups)

Should have already covered the Binomial distribution

Concepts: Sampling Distributions via Simulation, Is observation rare?, Normal Approximation to the Binomial

Lab 9 - What do you mean you're confident?

Materials: finger.mtw

Concepts: Confidence Level and Significance Level via simulation of repeated samples. Can supplement with CI portion of Sampling Distribution program.

New visual pictures of lines macro

Warn students to collect the data for Lab 10 ahead of time

Lab 10 - The Low Price Leader (Full)

Materials: Shopping.mtw contains a sample shopping list

Concepts: Paired t test, Normal Probability Plot

New product list

Lab 11 - Who's on First Baseline?

Materials: as.mtw and giants.mtw

Students pick a team and compare 1997 and 1998 attendance and weekend vs. weekday attendance. Need to define "weekend". New - updated data

Concepts: Two sample t test, assumptions, robustness

Lab 12 - Brick! New instructions

Materials: nbafg.mtw

Concepts: Simple Linear regression, assumptions, prediction, sampling distribution of regression coefficients.

Extension: transformations

Instructions to write report to commissioner.

Regression problems - Are instructions for 3 specific problems here. Concepts include diagnostics, outliers, transformations, association vs. causation.

Materials: Will collect data ahead of time (supply M&M bags, assuming 6 colors) and put into M&M data.mtw, mnms.mtb should be on the disk.

Concepts: Chi-square value (goodness of fit), simulation

Lab 14 - Bears in Space (Full)

Materials: Will collect data in lab or class. Need launchers (popsicle sticks, rubber bands, dowels), gummy bears, wood board, tape measures. Students need to bring their text books (supply more as well).

Concepts: Two-Factor Experimental Design, Interaction (plot), ANOVA

Final Lab Period - Time for projects etc.

---------------- Additional Materials in Manual-------