AP Stats Chapter 1 to 4 Cumulative Test- Study Guide
The test will have 25 multiple choice questions and 8 free response questions. Each section will be
equally weighted. Students will have an entire block class period to complete the exam (2 hours).
Be sure you are able to:
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Determine and identify categorical and quantitative variables.
Calculate proportions given a two-way table.
Create and analyze a segmented bar graph. Discuss association.
Describe and analyze box plot, pie chart, bar graph, scatterplot, cumulate relative frequency
graph and/or histogram.
Calculate, interpret and compare mean, median, mode, range, IQR and standard deviation.
Describe and calculate the impact of adding, subtracting, multiplying, changing unit, etc. on
mean, median, mode, range, IQR and standard deviation.
Determine data distribution from a five number summary.
Commute and interpret a five number summary.
Interpret and compare graphs of cumulative relative frequency.
Calculate and interpret normally distributed data (z-scores, percentiles, proportions, 68-9599.7% rule)
Calculate and interpret predicted values and residuals.
Understand the impact of outliers and influential points on correlation and regression
equations.
Calculate and interpret a least square regression equation.
Calculate and interpret correlation coefficients and linear regression equations.
Determine when lest squares regression is appropriate and inappropriate.
Use a residual plot to determine linearity.
Read, understand and analyze a computer printout of correlation and regression.
Describe and calculate the impact of adding, subtracting, multiplying, changing unit, etc. on
correlation and regression equations.
Analyze an experimental design (determine and discuss experiment set-up, control measures,
potential bias, potential sources of error, assignment of subjects a group)
Determine and identify the 5 various methods of sampling; be able to describe the various
benefits and concerns with each method
Identify and explain types of errors in both sample design and experimental design.
Explain how experiments can be used to determine causation.