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3.5 CEUs  ::  35 Contact Hours  ::  Self-Paced  ::  Instructor Support  ::  6 Month Subscription

Course Description

Large sets of numbers can be daunting, and characterizing them in a few words or numbers can be even more daunting. This course considers how to take data sets--whether large or small--and describe them using a few numbers (descriptive statistics). This, however, is only a small portion of the course.

The majority of the course is dedicated to reaching statistically justified conclusions on the basis of these descriptive statistics. For instance, does the average value of one data set deviate from another in what might be called a "statistically significant" manner? To this end, the course covers cross tabulation of data (including the chi-square test), correlation, linear regression, Student's t-tests, analysis of variance (ANOVA), repeated measures analysis, and factor analysis.

Closing out the course is a brief overview of SPSS, which is a powerful statistics software package that can automatically perform many of the tasks described in the lesson. Although the course does not always provide rigorous mathematical justifications for every aspect of the statistical tools and theory discussed therein, it does provide common-sense explanations of many of these aspects, and it includes numerous real-world examples to illustrate the use of these tools.

Thus, this course teaches students to take sets of data, describe them using a few numbers (including the mean, variance, and skewness), and then reach statistically justifiable conclusions about those data sets. Students should come away from the course with confidence in their ability to tackle basic applied statistics problems and with the fundamental knowledge needed to learn more in-depth statistical theory.

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Course Lessons

• Lesson 1 - Descriptive Statistics I

o Review arithmetic means and some associated concepts in descriptive statistics
o Consider other types of means, including geometric and power means
• Lesson 2 - Descriptive Statistics II

o Use moments about the mean to represent measures of dispersion and asymmetry
o Calculate the variance, standard deviation, and skewness of data sets
• Lesson 3 - Frequencies

o Create frequency tables to represent data sets
o Calculate relative, cumulative, and cumulative relative frequencies
o Create and interpret bar graphs and histograms
• Lesson 4 - Multivariate Data

o Recognize multivariate data versus univariate data
o Represent multivariate data using tables and scatterplots
o Calculate descriptive statistics for multivariate data, including covariances
• Lesson 5 - Cross Tabulation I

o Create cross tabulations for bivariate data sets
o Review the basic terminology and procedure associated with statistical hypothesis testing
• Lesson 6 - Cross Tabulation II

o Understand how to calculate the chi-square statistic for a cross tabulation
o Use the chi-square statistic to test hypotheses regarding cross tabulations
• Lesson 7 - Correlation

o Understand how variance can be used to define a statistic that measures the linear relationship between variables
o Use the correlation coefficient to quantify the correlation between two variables
• Lesson 8 - Student's t-Tests I

o Learn and apply hypothesis testing procedure to the one-sample Student's t-test
• Lesson 9 - Student's t-Tests II

o Apply the paired two-sample Student's t-test to determine if two samples have statistically different means
• Lesson 10 - One-Way ANOVA

o Identify the test statistic for one-way ANOVA
o Use one-way ANOVA to compare the means of multiple sample groups
• Lesson 11 - Repeated Measures

Recognize repeated measures designs
Determine an alternate method of evaluating means for repeated measures designs (repeated measures ANOVA)
• Lesson 12 - Factor Analysis

o Recognize some of the key terms associated with factor analysis
o Understand the overall purpose and procedures of exploratory and confirmatory factor analysis
• Lesson 13 - SPSS

o Gain some familiarity with SPSS
o Use SPSS to calculate statistical results in some simple cases
 Course Title: Applied Statistics 101 Languages: English - United States, Canada, United Kingdom, Australia, New Zealand, and other English speaking countries Category: Course Number: 7550578 Course Type: General Education Course URL: http://applystatistics.onlineclasses.com Instructor: Jeff Clark Syllabus: View Syllabus Grading Policy: Earn a final grade of 70% or higher to receive an online/downloadable CEU Certification documenting CEUs earned Assessment Method: Lesson assignments and review exams Duration: Continuous: Enroll anytime! Requirements: View Technical Requirements Course Fee: Basic Course: \$70.00 (no CEU Certification) with CEU Certification: \$95.00
Average Lesson Rating: (214 votes)
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3.5 CEUs
35 Contact Hours
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 CEU Value: 3.5 IACET CEUs (Continuing Education Units) Standard: Course Adheres to the ANSI/IACET 1-2007 Standard CE Accreditation: Universal Class, Inc. has been accredited as an Authorized Provider by the International Association for Continuing Education and Training (IACET), 1760 Old Meadow Road, Suite 500, McLean, VA 22102. Grading Policy: Earn a final grade of 70% or higher to receive an online/downloadable CEU Certification documenting CEUs earned Assessment Method: Lesson assignments and review exams

Learning Outcomes

By successfully completing this course, students will be able to:
• Demonstrate mastery of lesson content at levels of 70% or higher.
 Lesson 1 Exercise Assignment 25 Lesson 1 Descriptive Statistics I Exam 10 Lesson 2 Exercise Assignment 25 Lesson 2 Descriptive Statistics II Exam 10 Lesson 3 Exercise Assignment 25 Lesson 3 Frequencies Exam 9 Lesson 4 Exercise Assignment 25 Lesson 4 Multivariate Data Exam 10 Lesson 5 Exercise Assignment 25 Lesson 5 Cross Tabulation I Exam 10 Lesson 6 Exercise Assignment 25 Lesson 6 Cross Tabulation II Exam 10 Lesson 7 Exercise Assignment 25 Lesson 7 Correlation Exam 10 Lesson 8 Exercise Assignment 25 Lesson 8 Students t-Tests I Exam 10 Lesson 9 Exercise Assignment 25 Lesson 9 Students t-Tests II Exam 10 Lesson 10 Exercise Assignment 25 Lesson 10 One-Way ANOVA Exam 10 Lesson 11 Exercise Assignment 25 Lesson 11 Repeated Measures Exam 10 Lesson 12 Factor Analysis Exam 10 Lesson 13 Exercise Assignment 25 Lesson 13 SPSS Exam 10 The Final Exam Exam 129 Total Points: 558

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