Categorical Data and Two Way Tables Power Point

Chapter 4.3 Powerpoint


Quarter 2 Plans

November (up until Thanksgiving): Relationships between Categorical Variables (Chapter 4) & General Probability Rules and Probability Models (Chapter 6)

Nov-After Thanksgiving – Random Variables, Binomial and Geometric Distributions (Chapter 7 & 8)

Up till December (Christmas Break): Examining Relationships – Correlation and Linear Regression

3 Summative Days

Project Display and Presentations (last week of December)

January-up until Midterms: Sampling Distributions & Review

Quarter 1 Summary & Project Updates

So far, we have completed these units:

Mini Unit: Randomness & Simulations

Unit #1: Producing Data: Surveys, Observational Studies, and Experiments (Chapter 5)

Unit #2: Exploring Data: Displaying Distributions with Graphs, Describing Distributions with Numbers, Measures of Relative Standing and Density Curves, Normal Distributions

We will be spiraling back into these units frequently, because this course builds on each topic.  The more you review and study now, the less cramming you will have to do come midterm and AP exam time. 

Unit Project: Sampling and Experimental Design Group Project

With your group, please put together the following write -up for your project:

1) Investigative Question

What question did your group choose to investigate?  What design did you choose?  Why did you choose this topic and what were your predictions? What population are you looking at?

2) Methodology or Design Plan

What is your sample size and group?  What is your sampling method?  How did you use randomization?  How did you control for other variables?  Describe your design plan in detail so that it is replicable.  But be concise as well.

3) Data and Graphical Display

Provide your raw data in an organized manner.  Create at least one (but potentially more) graphical display(s) of your data.  You choose which graphical display you think will be best for this.  Make sure to label everything appropriately.

4) Analysis and Conclusion

Analyze your results.  What can you conclude from your data?  Calculate appropriate summary statistics, if applicable.  Is it what you expected?  Are your results statistically significant?

We have covered all the concepts that are relevant for this project thus far, so make sure to use this knowledge to inform your write-up.

Please provide a draft of all of this by November 23rd (the day before Thanksgiving) or earlier.  Earlier is better.  I would like a hard copy and an electronic copy if possible.  There will be no extensions for this deadline, and no more in class time.

Normal Model Power Point

Sorry for the delay.  Here is the Chapter 2 Power Point.  Click here: THE STANDARD DEVIATION AS A RULER

HW 10/11, due 10/13

Chapter 1 Practice Problems Packet #4, 5, 6, 16, 19, 23, 27

Homework (10/6 – ??)

1) Please email or submit to me on paper, the names of your group members, and a tentative list of investigative questions.  Also include whether you will implement a survey, observational study, or experiment.

DUE: October 7th, (Friday)

2) Reread Chapter 1 in your textbook.

DUE: October 7, (Monday)

3) Complete page 7-35 #1.2, 1.3, 1.4, 1.5, 1.7, 1.10, 1.27 in text, on looseleaf or graph paper.

DUE: October 10, (Monday)

4) Complete page 59-63 #1.48, 1.55

DUE: October 11th, (Tuesday)

5) Outline project design – and hand in a written design.  Include details as relevant: population of interest, sample size, sampling procedure, randomization procedure, factor, levels, treatments, actual questions if a survey, procedure of experiment, other methods of control, replication, placebo, blinding, etc…

DUE: October 11th (Tuesday)

Computer Activity






1)    Go to – enter this URL:

2)    Click on “Interpreting Graphical Displays of Distributions of Univariate Data” (the first one) – you should see this page below:

3)     Explore the three selected links below:

Interpreting Graphical Displays of Distributions of Univariate Data
  Dotplot, Stemplot, Histogram, Cumulative Frequency Plot

Rossman/Chance Applet Collection
Histograms are very useful, but care needs to be taken in constructing and interpreting them. The Histogram Bin Width java applet from the Rossman/Chance Applet Collection allows the user to vary the bin-width of the histogram.
   Rossman/Chance Applet Collection

R. Webster West’s Java Applet
This applet uses a data set from the Old Faithful geyser in Yellowstone Park. The application allows the user to vary the bin-width of the histogram to show students how the number of bins affects the shape. For larger bin widths, the bimodal nature of the Old Faithful data is no longer apparent.
   R. Webster West’s Java Applet
Gallery of Data Visualization
The Best and Worst of Statistical Graphs by Michael Friendly provides examples of good and bad statistical graphs in order to allow the user to examine the contrast between the two.
   Gallery of Data Visualization



4)     From the page you started on, back up a page and then select “Summarizing Distributions of Univariate Data.”  Explore the applets you see listed below:

Home > AP Courses and Exams > Course Home Pages > Summarizing Distributions of Univariate Data



Summarizing Distributions of Univariate Data

  Mean and Median Applet
This java applet from the Rice Virtual Lab in Statistics shows the relationship between the mean and the median for a set of data, beginning with the construction of a histogram. The user can add values to the dataset to examine the resulting effect on the mean and median.
   Mean and Median Applet

Surfin’ Sinefeld
Two flash animated statistics activities for exploring the measures of center and the measures of spread are available on this site. The investigations allow the user to choose from six DASL datasets and make changes to the datasets to see the resulting effect on the summary statistics.
   Surfin’ Sinefeld



5)     Go back and explore “Comparing Distributions of Univariate Data – there is also a link under MORE.

Comparing Distributions of Univariate Data
  Dotplots, Back-to-Back Stemplots, Parallel Boxplots

Exploring Data
This Web site offers a wealth of information for both the new and experienced statistics teacher. The site has numerous worksheets to explore boxplots (including instructions for constructing parallel boxplots), and several worksheets for working with and constructing stemplots (including the “Greed Game” link that has students construct back-to-back stemplots after playing the second round of the game).

Comparing Distributions
A java applet from the Rice Virtual Lab in Statistics records your response times to a simple motor task under two conditions. Various statistics, histograms, and boxplots are presented to allow for a comparison between the distributions.
   Comparing Distributions




Explore some more on your own at home (either these suggested or other ones not on this sheet but on the actual website).  Let me know if you find some other site/activity particularly helpful.