5 Steps to a 5 AP Statistics (2014-2015 Edition) - download pdf or read online
By Duane Hinders
Get prepared on your AP examination with this easy and easy-to-follow learn advisor, up-to-date for the entire most recent examination changes!
5 Steps to a five: AP Statistics positive factors a good, 5-step plan to lead your education application and assist you construct the talents, wisdom, and test-taking self assurance you must prevail. This totally revised version covers the most recent direction syllabus and gives version exams that replicate the newest model of the examination.
Inside you'll find:
• 5-Step Plan to an ideal five: 1. manage Your examine application 2. ensure Your attempt Readiness three. enhance ideas for achievement four. improve the data you want to ranking excessive five. construct Your Test-Taking Confidence
• 2 entire perform AP information exams
• three separate plans to suit your research style
• overview fabric up to date and geared to the newest tests
• Savvy info on how checks are built, scored, and used
Read Online or Download 5 Steps to a 5 AP Statistics (2014-2015 Edition) PDF
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Additional resources for 5 Steps to a 5 AP Statistics (2014-2015 Edition)
General Regression: The REG Procedure The REG procedure is a general-purpose procedure for regression that • handles multiple regression models • provides nine model-selection methods • allows interactive changes both in the model and in the data used to fit the model • allows linear equality restrictions on parameters • tests linear hypotheses and multivariate hypotheses • produces collinearity diagnostics, influence diagnostics, and partial regression leverage plots • saves estimates, predicted values, residuals, confidence limits, and other diagnostic statistics in output SAS data sets • generates plots of data and of various statistics • “paints” or highlights scatter plots to identify particular observations or groups of observations • uses, optionally, correlations or crossproducts for input Model-selection Methods in PROC REG The nine methods of model selection implemented in PROC REG are NONE no selection.
If the model that you fit is not the true model, then the parameter estimates may depend strongly on the particular values of the regressors used in the experiment. For example, if the response is actually a quadratic function of a regressor but you fit a linear function, the estimated slope may be a large negative value if you use only small values of the regressor, a large positive value if you use only large values of the regressor, or near zero if you use both large and small regressor values.
This is a function of the SAS System options used and the precision used by your computer for floatingpoint calculations. Graphics Options Some of the graphical output displayed in the examples is generated with the experimental ODS graphics system. Other examples use SAS/GRAPH software, including the GOPTIONS statement and PROC GPLOT. The rest of this section provides information on the specific set of options and symbol statements used to generate graphical output using SAS/GRAPH software. The code you see in the examples creates the color graphics that appear in the online version of this book.
5 Steps to a 5 AP Statistics (2014-2015 Edition) by Duane Hinders