STAT 700
 Applied Statistics I



Course Description

Introduction to probability and the concepts of estimation and hypothesis testing for use in experimental, social, and professional sciences. One and two-sample analyses, nonparametric tests, contingency tables, sample surveys, simple linear regression, various statistical packages including SAS, SPSS, Minitab, and R.
Purpose To provide future scientists in these fields with a base on which to build a continually expanding array of methods for experimental design and data analysis. Students will ideally come away with:
(1) an understanding of basic probability and the manner in which all formal statistical inference depends on it;
(2) the ability to carry out the basic analyses listed in the description using widely available software;
(3) a knowledge of the universal principles underlying all hypothesis testing and interval estimation, thereby
     facilitating interactions with professional statisticians.
Textbook Introduction to the Practice of Statistics (5th edition),
by D.S. Moore and G.P. McCabe, W.H. Freeman and Co., 2006.
Grading Grading (%):   A 90; B+  87; B 80; C+ 77; C 70;  D+ 67; D 60; F <60;
Software One statistical package of your choice: SAS, SPSS, Minitab, R, or other package
Data description and graphical representation
Probability, discrete random variables, binomial distribution
Continuous random variables, the normal distribution
Sampling distributions, the central limit theorem
Estimation, confidence intervals
Hypothesis testing
Comparing two treatments or populations
Categorical data analysis
Correlation and simple linear regression
Two-way tables analysis

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