Description: This course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t-tests, ANOVA, linear regression, and logistic regression. This course (or equivalent knowledge) is a prerequisite to many of the courses in the statistical analysis curriculum.Learn how togenerate descriptive statistics and explore data with graphsperform analysis of variance and apply multiple comparison techniquesperform linear regression and assess the assumptionsuse regression model selection techniques to aid in the choice of predictor variables in multiple regressionuse diagnostic statistics to assess statistical assumptions and identify potential outliers in multiple regressionuse chi-square statistics to detect associations among categorical variablesfit a multiple logistic regression model. Introduction to Statistics examining data distributionsobtaining and interpreting sample statistics using the UNIVARIATE and MEANS proceduresexamining data distributions graphically in the UNIVARIATE and SGPLOT proceduresconstructing confidence intervalsperforming simple tests of hypothesist-Tests and Analysis of Variance performing tests of differences between two group means using PROC TTESTperforming one-way ANOVA with the GLM procedureperforming post-hoc multiple comparisons tests in PROC GLMperforming two-way ANOVA with and without interactionsLinear Regression producing correlations with the CORR procedurefitting a simple linear regression model with the REG procedureunderstanding the concepts of multiple regressionusing automated model selection techniques in PROC REG to choose from among several candidate modelsinterpreting modelsLinear Regression Diagnostics examining residualsinvestigating influential observationsassessing collinearityCategorical Data Analysis producing frequency tables with the FREQ procedureexamining tests for general and linear association using the FREQ procedureunderstanding exact testsunderstanding the concepts of logistic regressionfitting univariate and multivariate logistic regression models using the LOGISTIC procedureThis a posting for SAS business analyst certification exam (A00-240) regression and predictive modeling preparation guide.It has 2 parts.1. Statistics I: Introduction to ANOVA, Regression, and Logistic Regression : Course Notes 2. Predictive Modeling Using Logistic Regression : Course Notes I will be emailing the epub or pdf version of the copy to your PayPal registered email address.
Price: 34 USD
Location: Parlin, New Jersey
End Time: 2024-11-26T05:29:34.000Z
Shipping Cost: 0 USD
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