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Practice of Statistics Putting the Pieces Together

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ISBN-10: 053436490X

ISBN-13: 9780534364908

Edition: 2000

Authors: John D. Spurrier

List price: $199.95
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Capstone courses in statistics teach students how to apply their learned skills as if they were professional statisticians. It enables them to tie together ideas and methods from their undergraduate course work to solve problems. Students are presnted with a series of 'experiences.' They are required to work in teams to collect data, then individually to solve the problem and present written and oral reports. The 'experiences' expose students to additional challenges they might encounter on the job.
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Book details

List price: $199.95
Copyright year: 2000
Publisher: Brooks/Cole
Publication date: 7/7/1999
Binding: Paperback
Pages: 216
Size: 7.50" wide x 9.25" long x 0.25" tall
Weight: 0.792
Language: English

After Graduating from high school, John D. Spurrier attended the Columbia campus of the University of Missouri. He received a bachelor's degree in mathematics and a master's degree and a doctorate in statistics from that school. Dr. Spurrier joined the faculty of the University of South Carolina in 1974 and currently holds the rank of Professor in the Department of Statistics. While on the faculty, he has served terms as department chair, assistant department chair, graduate director, and director of the departments statistical consulting service. Dr. Spurrier has taught a wide variety of undergraduate and graduate courses. He has published over 70 papers on the applications and theory of…    

Capstone Experiences
Preparing Data for Analysis
Computing Concepts and Procedures: Coding Protocol, Data Editing, Data Entry, SAS PROC COMPARE
Mathematical Concepts: None
Statistical Concepts: Five-Number Summary, Frequency Table, Scatter Plot, Systematic Random Sample
Materials Required: None
Designing A Telephone Survey
Computing Concepts and Procedures: Data Entry Computer Screen
Mathematical Concepts: None
Statistical Concepts: Data Recording Form, Survey Instrument
Materials Required: None
Determining The Sample Size
Computing Concepts and Procedures: Noncentral t Distribution Function, Numerical Search, SAS Function GAMMA, SAS Function PROBT, SAS Function TINV, Student''s t Distribution Probability Point
Mathematical Concepts: Gamma Function, Nonlinear Inequality
Statistical Concepts: Confidence Interval, Expected Value, Function of a Random Variable, Hypothesis Test, Power of a Test, Non-Central t Distribution, Student''s t Distribution
Materials Needed: None
Designing An Experiment to Compare Two Horn Activation Buttons
Computing Concepts and Procedures: Random Number Generation, SAS Function PROBT, Two-Dimensional Plot
Mathematical Concepts: Derivative, Inverse Function
Statistical Concepts: Change of Variable, Density Function, Dependent Sample Design, Independent Sample Design, Normality Assumption, Power of a Test, Comparing Two Treatments
Materials Required: None
Using Regression to Predict The Weight of Rocks
Computing Concepts and Procedures: SAS PROC PLOT, SAS PROC PRINT, SAS PROC REG, Two-Dimensional Plot
Mathematical Concepts: Ellipsoid, Rectangular Solid
Statistical Concepts: Regression, Residual, R-Square, Scatter Plot
Materials Required: For each team, a caliper capable of measuring to the nearest 0.01 inch, a scale capable of measuring to the nearest gram, 20 rocks of various sizes but of similar composition, and muffin pans with holes numbered from 1 to 20
The rocks must have dimensions and weights within caliper and scale capacities
Estimating Variance Components in Tack Measurements
Computing Concepts and Procedures: SAS PROC VARCOMP
Mathematical Concepts: System of Linear Equations
Statistical Concepts: Analysis of Variance, Factorial Design, Nested Design, Random Effect, Replicate, Unbiased Estimator, Variance Component
Materials Required: For each team, 4 nominal �-inch carpet tacks, 3 micrometers capable of measuring to .001 inch, 2 objects with a premeasured dimension of less than 1 inch, 12-inch length of masking tape
Classifying Plant Leaves
Computing Concepts and Procedures: SAS PROC DISCRIM, Two-Dimensional Plot
Mathematical Concepts: Linear Inequality, Matrix Operations
Statistical Concepts: Bivariate Normal Distribution, Classification, Density Function, Discriminant Analysis, Scatter Plot, Unbiased Estimator
Materials Required: For each team, a ruler marked in millimeters
Using A Response Surface to Optimize Product Performance
Computing Concepts and Procedures: SAS PROC GLM, SAS PROC REG, Three-Dimensional Plot
Mathematical Concepts: Maximization, Quadratic Surface, System of Linear Equations
Statistical Concepts: Experimental Design, Factor Selection, Multiple Regression, Randomization, Response Surface
Materials Required: For each team, a balsa wood airplane with moveable wings, a ruler, 4 paper clips, and a 50-foot measuring tape
Modeling Breaking Strength With Dichotomous Data
Computing Concepts and Procedures: Programming Newton''s Method, SAS PROC LOGISTIC
Mathematical Concepts: Maximization, Newton''s Method, Partial Derivative, System of Non-Linear Equations
Statistical Concepts: Bernoulli Trial, Dichotomous Data, Goodness of Fit, Likelihood Function, Likelihood Ratio Test, Logistic Distribution, Logistic Regression, Maximum Likelihood Estimation, Scatter Plot
Materials Required: For each team, 99 two-ply facial tissues with a minimum dimension of at least 8 inches, two 7-inch embroidery hoops