PSYC 2101
Statistics in the Social Sciences

3.0 Credits

Description

This course provides an overview of the basic descriptive and inferential statistical techniques used in the analysis of social science research data. Students become familiar with the organization and analysis of data, communicating research results, translating statistical jargon into meaningful English, and understanding basic theories underlying statistics, such as elementary probability theory.

Delivery Method

Web-based.

Prerequisites

Test MA11 - Pre-calculus 11 or Applications of Mathematics 12 or MATH 0633 or MATH 1001

Recommended: It is recommended that psychology majors take PSYC 2111 before taking PSYC 2101.

Objectives

After successfully completing this course, you will be able to effectively use techniques in descriptive and inferential statistics. After having internalized the concepts underlying each technique, you should be able to accurately apply the appropriate technique to solve problems involving:

  • Various scales of measurement
  • Frequency distributions, tables, and graphs
  • Percentiles and percentile ranks
  • Measures of central tendency
  • Measures of variability
  • z-scores
  • Probability
  • Sampling distributions
  • Hypothesis testing
  • t-tests confidence intervals
  • Analysis of Variance (ANOVA)
  • Correlation and regression
  • Chi-square
  • Various statistical techniques for ordinal data

Course Outline

  • Part 1: Introduction and Descriptive Statistics
  • Part 2: Foundations of Inferential Statistics
  • Part 3: Inferences About Means and Mean Differences
  • Part 4: Correlations and Regression
  • Part 5: Nonparametric Tests

Maximum Completion

30 weeks.

Required Text and Materials

Gravetter, F . J., & Wallnau, L. B.. Statistics for the behavioral sciences (10thed.)+ MindTap access . Nelson Education Ltd , 2017.
Type: Textbook. ISBN: 1337600032

Additional Requirements

Calculator is required.

Open Learning Faculty Member Information

An Open Learning Faculty Member is available to assist students. Primary communication is through the "mail" tool in the Learning Environment or by phone. You will receive the necessary contact information when you start your course.

Assessment

To successfully complete this course, you must achieve a passing grade of 50% or higher on the overall course and 50% or higher on the mandatory final exam. You also need a passing mark on each assignment.

The following table illustrates how your final grade will be determined for this course.

Assignment 1: Introduction and Descriptive Statistics 8%
Assignment 2: Foundations of Inferential Statistics 10%
Assignment 3: Inferences About Means and Mean Differences 16%
Assignment 4: Correlations and Regression 8%
Assignment 5: Nonparametric Tests 8%
Final Exam* 50%
Total 100%

*Mandatory