**COURSE DESCRIPTION**

This course is an introduction to descriptive and inferential statistics. It will introduce you to a wide variety of statistical techniques, including:

*Descriptive Statistics*

Percentages, Percentage Change, and Proportions

Ratios and Rates

Frequency Distributions

Charts and Graphs

Measures of Central Tendency (Mean, Median, Mode, Percentiles, Quartiles)

Measures of Dispersion (Range, Interquartile Range, Standard Deviation)

Bivariate Association (Crosstabs)

Association between Variables Measured at the Nominal Level (Chi-Square-Based Measures, Lambda)

Association between Variables Measured at the Ordinal Level (Gamma, Spearman's Rho)

Association between Variables Measured at the Interval-Ratio Level (Regression and Prediction, Correlation

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

*Inferential Statistics*

The Normal Curve (Computing Z Scores, Areas Under the Curve)

Sampling and the Sampling Distribution

Estimation Procedures

Hypothesis Testing: The One-Sample Case (t-test, Type I and Type II errors)

Hypothesis Testing: The Two-Sample Case (five-step model)

Hypothesis Testing: Nonparametric Tests for Variables Measured at the Ordinal

Level (Chi Square Test for Independence)

Analysis of Variance (ANOVA)

**SPECIFIC LEARNING OBJECTIVES**

By the end of the term, each student who has successfully completed the course will be competent to:

1) go on to more advanced statistics courses (computer labs, exams)

2) better understand articles written in her or his field of interest having achieved basic statistical literacy (weekly computer assignments, exams)

3) understand the mathematics involved in doing statistical problems (weekly computer assignments, exams)

4) understand and interpret statistical output (weekly computer assignments emphasizing interpretation, analysis, and evaluation of statistics)

5) present statistical results in a form required for formal presentation or publication (weekly computer assignments, exams)

6) use statistics to think and reason logically about cause and effect relationships (weekly computer assignments, exams)

7) use statistics as tools to test hypotheses, analyze social processes, and evaluate social programs (weekly computer assignments, exams)

*Note: The methods of assessment of the specific learning objectives are in parentheses after each objective.*

**BOOKS AND MATERIALS**

Healey, Joseph. 2015. *Statistics: A Tool for Social Research**.* 10th edition. If you buy an ebook, you will have to bring an electronic reader to class, because you need the instructions in the book to do the computer labs.

**COURSE SPECIFICS**

*Incomplete*. I do not allow students to take an “Incomplete” for this course. If you do not believe you will be able to finish the course, you should withdraw early to get possible refund of your tuition.

*Exams*. There will be five exams during the course (see course weekly assignments for dates). Each exam consists of 40 multiple-choice or True/False items including interpretation of computer output. Bring a calculator, a pencil, and your book to the scheduled exam. The exams will stress interpretation and understanding of statistical concepts. If you are unable to make it to the regularly scheduled exam, the university will charge $20 for arranging and proctoring each make-up exam. You will need to make arrangements with the department administrative assistant for make-up exams––these need to be taken within two weeks after the scheduled class exam. There are no make-ups for the final exam.

*Attendance and Participation*: You are expected to be in class and to participate in discussions. You will be allowed one absence without penalty. Attendance and participation will be part of your overall grade for the course.

*University Policy*. The University prohibits the use, possession, distribution, or sale of alcoholic beverages, illegal drugs, firearms, explosives, fireworks, and other dangerous substances on University property.

*The schedule and procedures, and the course outline and reading list are subject to change in the event of extenuating circumstances.*

**COURSE GRADING**

Exam #1 80 points

Exam #2 80 points

Exam #3 80 points

Exam #4 80 points

Exam #5 80 points

Attendance and Participation 50 points

Computer Lab 50 points

**GRADE BREAKDOWN**

A+ 98% and up B+ 88-89% C+ 78-79% D+ 68-69%

A 94-97% B 84-87% C 74-77% D 64-67%

A- 90-93% B- 80-83% C- 70-73% D- 60-63%