David Prince

Teaching students to deduce information provided in charts and graphs is an essential part of any math curriculum. However, what do you do when the graph itself provides misleading or false information? This lesson is a good way to get students to look critically at graphically displayed data and see through those who try to manipulate data for their own purposes.

The population of the city of Long Beach is growing very quickly, and there is a chance the high school may be overcrowded in a few years. Should we invest millions of dollars to build a new, bigger school right now? Students use three different regression models (linear, logarithmic, and exponential) to make three different predictions for the future of the town. If you were a tax-payer, which regression model would you use? If you were a school construction company, which regression model wo

Did you know that 90% of all serial killers are right-handed? Well, of course... 90% of all people in general are right-handed. This is a great activity that can be used as an introduction to any statistics class or unit. It makes students think about how people misinterpret statistics and how two people can look at the same data and draw different conclusions.

What happens to the mean and median of a distribution when we increase every element by 5? What happens to the standard deviation and interquartile range of a distribution when we multiple every element by 2? This discovery-based lesson helps students understand how manipulations of data affect summary statistics using the TI-84 graphing calculator.

Analyzing visual representations of data is an essential skill for mathematics students of all ages. This lesson has a collection of 10 complex charts and graphs covering a wide range of topics from meat consumption to TV finale ratings to crime. Students are asked to identify the "story" of the graph and justify it using specific visual elements.

This lesson can be used as an introduction to a unit on z-scores. Students are taught how to calculate, interpret, and compare z-scores using real life data taken from the SAT.

These "concept maps" go over, in detail, the most important topics from the AP Statistics curriculum. These outlines, created at the end of each unit, highlight the essential concepts, theorems, and formulas necessary for success on your in-class assessments and the AP test. Part 2 contains the following topics: confidence intervals for proportions, one proportion z-tests, type I and II errors, two proportion z-intervals and tests, one sample t-intervals, one sample t-tests, two sample t-interva

These "concept maps" go over, in detail, the most important topics from the AP Statistics curriculum. These outlines, created at the end of each unit, highlight the essential concepts, theorems, and formulas necessary for success on your in-class assessments and the AP test. Part 1 contains the following topics: data analysis, experiment design, sampling/surveys/bias, probability, combinations of random variables, sampling distribution of the sample mean.

In this lesson, students learn how to construct and interpret histograms. Emphasis is placed on choosing an appropriate scale, listing the key features, and analyzing data sets.