Todd McPeak

This is a PowerPoint presentation I use at the end of AP Statistics for whole-course review and as practice tool for the AP Exam. The presentation contains 52 slides with 6 practice items from the 1999 AP exam (including solutions and scoring guides), and a review of high-level concepts including: Distributions, Regression, The mechanics of finding linear, polynomial, and exponential models, Experiments and Studies, Probability, Random Variables, Inference, and Assumptions. The referenced text

This is a PowerPoint presentation designed for whole-course review and as practice tool for the AP Statistics Exam. The presentation contains 56 slides with 6 practice items drawn from the 2000 AP exam (including solutions and scoring guides), and a review of high-level concepts including: Distributions, Regression, The mechanics of finding linear, polynomial, and exponential models, Experiments and Studies, Probability, Random Variables, Inference, and Assumptions. The referenced text is: The P

Objectives: -Given a two-variable data set, construct and interpret a scatterplot. -Identify variables as explanatory or response variables. -Describe an association in terms of: *Direction *Shape (or form) *Strength Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Objectives: -State whether a variable is categorical or quantitative. -Manually create a dotplot and a histogram that represent given data. -Describe a distribution in terms of center, spread and shape. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Probability Basics Objectives: -Write the sample space for a set of events. Count the outcomes in a sample space by using: **A branching (tree) diagram. **The multiplication principle. -Apply the basic rules of probability to solve problems. -Describe what is meant by the complement of an event. -Describe what it means to say that two events are disjoint. **Use the addition rule for disjoint events to answer “or” probability questions. Reference Text: The Practice of Statistics, First Edition.

Simple Random Samples Objectives: -Describe the difference between a population and a sample. -Describe the difference between a census and a survey. -Describe what is meant by bias in a sample. -Describe what is meant by a: *Voluntary Response Sample. *Convenience Sample. *Simple Random Sample. -Use a Table of Random Digits to construct a Simple Random Sample of specified size from a population. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreem

Objectives: -State mean and standard deviation for The Standard Normal Distribution -Given a raw score from a normal distribution, find the standardized “z-score” -Use the Table of Standard Normal Probabilities to find the area under a given section of the Standard Normal curve. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Conditional Probability Objectives: -Recognize whether a conditional probability problem calls for the use of the “or” case rules or the “and” case rules. -Apply the “or” case rules for disjoint and dependent cases. -Apply the “and” case rules for independent and dependent cases. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Objectives: -Define specific measures of center and spread in a distribution -Recognize notation for mean, median, and the 5-number summary of data -Calculate same manually and on TI -Determine outliers by the 1.5 IQR rule -Draw boxplots manually and on TI -Describe RESISTANCE as it applies to mean and median Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

The Central Limit Theorem Objectives: -Perform an activity that demonstrates the effect of the Central Limit Theorem. -Write a statement of The Central Limit Theorem. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Designing Experiments Objectives: -Describe the difference between an observational study and an experiment. -Draw a schematic diagram of a completely randomized experiment that allows comparison between a treatment group and a control group. -State the three principles of experimental design. -Describe what is meant by “statistically significant”. -Describe what is meant by a “double blind” experiment. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.

Objectives: -Calculate the value of a residual at a point on a LSRL. -Create a residual plot on the calculator and draw a conclusion about the goodness of fit of the LSRL. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Sampling Distributions Objectives: -Students should be able to describe the difference between a parameter and a statistic. -Students should be able to define a sample mean and a sample proportion. -Students should be able to define and describe a sampling distribution. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Sampling Activity Objectives: -Practice the techniques involved in taking each of these types of probability sample: *Simple Random Sample *Systematic Random Sample *Stratified Random Sample Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Describing Sampling Distributions Objectives: -Compare the mean and standard deviation of a population with the mean and standard deviation of a distribution of sample means (also known as a sampling distribution). -Define what is meant by an unbiased statistic. -Describe how sampling distribution variability is affected by sample size. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Counting Theory (Permutation and Combination) Objectives: -Use organized lists and tree (branching) diagrams to list all possible outcomes of a trial. -Identify whether permutation or combination is appropriate to count the number of outcomes of a trial. -Use formulas or calculator commands to evaluate permutation and combination problems. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Objectives: -Describe verbally the meaning of STANDARD DEVIATION. -Calculate the VARIANCE and STANDARD DEVIATION of a data set from a formula and on the TI. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Sample Proportions Objectives: -Describe the shape, center, and spread of the sampling distribution of p when a sample of size n is taken from a population. -Apply two “rules of thumb” to determine whether the standard deviation formula and the normal approximation apply. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Matched Pairs t Procedures Objectives: -Students will perform a matched-pairs t procedure. -Students will use the TI to calculate one-sample confidence intervals. -Students will use the TI to calculate one-sample t-tests. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/

Included Activities: -Review Problem 4.1 on calculator. -Do the Oil Production problem in class. Reference Text: The Practice of Statistics, First Edition. Yates, Moore, McCabe http://www.whfreeman.com/Catalog/static/whf/yates/