STAT 3130Statistical Methods I

Lecture 1Introduction

• About this course– Objectives– Assignments, Project & Grading Policy– Course Syllabus & Schedule– Use of Internet Site– Usage of Software

• About You – Course Expectations

STAT3130 - Introduction

STAT3130 - Introduction

Expectations – You should be comfortable with the following (anything from 3120 is fair game):

1. Confidence intervalsa. Proportion-based (one sample, two sample)b. Parameter-based (one sample, two sample, paired)

2. Hypothesis testinga. Type 1 and Type 2 Errorsb. Alpha versus p-valuec. Beta/Power

3. ttestsa. Proportion-based (one sample, two sample)

b. Parameter-based (one sample, two sample, paired)4. Chi square (odds, odds ratios)5. Correlation and linear regression

STAT3130 - Introduction

Expectations – I will be teaching in Base SAS. Although you can use SPSS or Minitab for your assignments , I expect that you can do the following executions using SAS with relatively little effort:

• Import a dataset• Run Descriptive Statistics/Frequencies• Create, Drop, Keep variables • Categorize variables• Export SAS Output to a Word Document using ODS• Export SAS files to Excel• Execute a ttest, a chi-square test, a linear

regression model