Crisman

Advanced Placement Statistics NC Objectives:
 * Goal 1: The learner will analyze univariate data to solve problems
 * Analyze distribution of continuous univariate data (both normal and non-normal)
 * Goal 3: The learner will collect and analyze data to solve problems.
 * 3.02 Use and compare methods of data collection
 * 3.03 Apply statistical principals and methods in sample surveys; identify difficulties
 * 3.04 Apply principals and methods in designed experiments; identify difficulties
 * 3.06 Use normal distributions as a model for distribution
 * 3.10 Perform tests of significance and interpret results in the context of a problem

Technology Used: imovie, garage band, itunes, flip cameras, and powerpoint

Lesson Overview: Through the use of a movie, the students created and performed a hypothesis test. They planned a statistical test, gathered data, ran a hypothesis test, and interpreted their results. Within the student's movie, they had to imbed graphic displays of their data and explain their testing procedures. Below are the specific requirements of the project as well an example of a groups finished product.

Hypothesis Testing Project In a group of two or three, you will be creating and running a hypothesis test. The components of this project are below. Purpose of Study: Gather Data: Graphical Display: Null and Alternate Hypotheses: Testing Procedure: Conclusion: Comparison: What next? **Requirements** Answer the above questions using a video format. All group members must be seen in the video. The video must answer the questions as well as show your group gathering data. You can use imovie on your computer or a flip camera. Your group will also turn a written project that consists of the work from your testing procedure, your graphic display, and your normal/t-distribution/chi-square curve.
 * What are you studying?
 * Why did your group choose this study?
 * Describe your method of gathering data. Make sure to use statistics vocabulary.
 * Describe how you reduced bias and describe any remaining possibilities of bias.
 * make a graphical display of your data. You can use a pie chart, time plot, bar graph, Pareto chart, histogram, or box-and-whisker.
 * Why did you choose this display?
 * Give a few observations that you see about your data.
 * State the null and alternate hypotheses. Describe what they mean.
 * Why did you choose them? (remember the null is usually a known claim)
 * What is your sample test statistic?
 * What is your critical value?
 * What is your p-value?
 * What level of significance did you use? What does your level of significance mean in terms of the test?
 * What are your degrees of freedom? (if needed)
 * Sketch a graph of your curve.
 * Did you reject the null or fail to reject the null? Why?
 * What does this mean?
 * Compare your test results with the graphical display.
 * How could you improve your test?

Student Video: