AP Exam and Final Exam Review

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With the AP & Final Exams quickly approaching, you should take time to review concepts outside of class.  This review packet will help you do that:  Review for AP Statistics Final Exam

During class, in the five days  prior to the AP exam, you will be responsible for completing three multiple choice tests as well as 2012 free response questions.

Your grade for this review will be a combination of the average of the three multiple choice tests (50%) and the total score from the free response questions (50&).  This grade will be part of the Statistical Community standard.

Begin preparing today!

Get familiar with your calculator

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In addition to learning Statistics this semester, you will be responsible for learning how to operate your TI Calculator.

Below are handouts which explain how to access many of the menus and commands that we will use this semester.  I would recommend that you print out the one for your calculator and keep a copy in your notebook.

Your textbook also gives commands for the TI 83 & 84 calculators.

TI 83 & 84 Calc Commands

TI 89 Calc Commands

TI Nspire Calc Commands

Inference for Regression (Chapter 15)

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We are testing for the presence of a linear relationship between two quantitative variables by testing whether or not the slope of the population regression line, Β, is equal to 0.  If we fail to reject the null hypothesis, then there is no usefulness in predicting from the population regression line.

Here are notes from class:

Regression Review & Computer Output

Checking Conditions for Inference for Slope

Here are answers from the practice examples in class:

Worksheet_ch15  (Ignore ‘Model Accuracy’)

 

Chi-square procedures (Chapter 14)

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χ2 procedures have three uses:

  1. Goodness-of-fit:  test how well a sample distribution follows a claimed distribution; one variable only; one sample only; uses lists
  2. Independence:  determine if a relationship exists between two categorical variables; one sample only; uses two-way tables and matrices
  3. Homogeneity:  determine if a categorical variable is distributed the same across several populations; one variable; multiple samples; uses two-way tables and matrices

Here are notes from class:

Two-way tables & chi-sq GOF

chi-square homogeneity and independence

Here are the worksheets that we used, along with answers:

chi-square worksheets pod

Inference for Means (April 17, 2013)

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As we continue to work with confidence intervals and hypothesis tests, we turn our attention to the population mean, μ.

Of course, a change in parameter requires a few changes in procedures.

  1. As discussed in class, we have been using σ, the population standard deviation, to find the standard deviation of the sampling distribution of sample means.  However, we found that this is rather unrealistic.  So, we now use s, the sample standard deviation, to estimate σ.
  2. Because of this, the the individual sample means no longer seem to follow normal model.  Click here to explore differences between the normal and t-distributions.
  3. Normality of the sampling distribution can now be verified based on given observed values, if the sample size is less than 30.  Use your calculator to make a boxplot and normal probability plot.  Severe skewness with outliers and/or a non-linear normal probability plot would violate the conditions for t-procedures.

You are working on WebAssign as well as a practice worksheet.  Here are answers to the worksheet:  Solutions to CI for means Extra Practice