Applied Statistics 101
no certificate
with CEU Certificate*

14Lessons

17Exams &
Assignments 
21Hours
average time 
2.1CEUs

834Students
have taken this course
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 setswhether large or smalland 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 chisquare test), correlation, linear regression, Student's ttests, analysis of variance (ANOVA), repeated measures analysis, and factor analysis.
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 indepth statistical theory.
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Course Lessons
Lesson 1  Descriptive Statistics I
o Consider other types of means, including geometric and power means 11 Total Points
 Lesson 1 Video A
 Lesson 1 Video B : How to Take an Exam
 Review 2 Articles: Descriptive statistics; Free Graph Paper
 Complete Assignment: Introduction
 Complete Exam: Lesson 1 Descriptive Statistics I
 Complete: Feedback about the exam.
Lesson 2  Descriptive Statistics II
o Calculate the variance, standard deviation, and skewness of data sets 10 Total Points
 Lesson 2 Video
 Review 2 Articles: Definition of Measure of Dispersion; Definition of Skewness
 Complete Exam: Lesson 2 Descriptive Statistics II
Lesson 3  Frequencies
o Calculate relative, cumulative, and cumulative relative frequencies
o Create and interpret bar graphs and histograms 9 Total Points
 Lesson 3 Video
 Review Practice Worksheet: Example2Explainedfurther.docx
 Review 3 Articles: Frequency Distributions; Graphing with Excel; Variance Formulas in Excel
 Complete Exam: Lesson 3 Frequencies
Lesson 4  Multivariate Data
o Represent multivariate data using tables and scatterplots
o Calculate descriptive statistics for multivariate data, including covariances 10 Total Points
 Lesson 4 Video
 Review Article: Definition of Multivariate statistics
 Review Video: MULTIVARIATE DATA ANALYSIS WITH EXCEL
 Complete Exam: Lesson 4 Multivariate Data
Lesson 5  Cross Tabulation I
o Review the basic terminology and procedure associated with statistical hypothesis testing 10 Total Points
 Lesson 5 Video
 Review Article: Contingency table
 Complete Exam: Lesson 5 Cross Tabulation I
Lesson 6  Cross Tabulation II
o Use the chisquare statistic to test hypotheses regarding cross tabulations 10 Total Points
 Lesson 6 Video
 Review 2 Articles: A table of critical values for the chisquare statistic; Cross tabulations and the chisquare statistic
 Complete Exam: Lesson 6 Cross Tabulation II
Lesson 7  Correlation
o Use the correlation coefficient to quantify the correlation between two variables 10 Total Points
 Lesson 7 Video
 Review Article: Correlation
 Complete Exam: Lesson 7 Correlation
Lesson 8  Student's tTests I
 Lesson 8 Video
 Review Article: A table of values for the Student's t distribution
 Complete Exam: Lesson 8 Students tTests I
Lesson 9  Student's tTests II
 Lesson 9 Video
 Review Article: Making Sense of the TwoSample TTest
 Complete Exam: Lesson 9 Students tTests II
Lesson 10  OneWay ANOVA
o Use oneway ANOVA to compare the means of multiple sample groups 10 Total Points
 Lesson 10 Video
 Review Article: A table of values for the F distribution
 Complete Exam: Lesson 10 OneWay ANOVA
Lesson 11  Repeated Measures
Determine an alternate method of evaluating means for repeated measures designs (repeated measures ANOVA) 10 Total Points
 Lesson 11 Video
 Review 2 Articles: Repeated Measures ANOVA; Total Sum of squares
 Complete Exam: Lesson 11 Repeated Measures
Lesson 12  Factor Analysis
o Understand the overall purpose and procedures of exploratory and confirmatory factor analysis 10 Total Points
 Lesson 12 Video
 Review 2 Articles: Definition of Factor Analysis; Factor Analysis Training
 Review Video: Factor analysis tutorial
 Complete Exam: Lesson 12 Factor Analysis
Lesson 13  Linear Regression I
 Lesson 13 Video
 Complete Exam: Lesson 13 Linear Regression I
Lesson 14  Linear Regression II
 Lesson 14 Video
 Complete Exam: Lesson 14 Linear Regression II
 Complete: The Final Exam
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Selfpaced  
Instructor support  
Time to complete  6 months 
No. of courses  1 course 
Certificate & CEUs
This course only
Includes certificate  
Includes CEUs  
Selfpaced  
Instructor support  
Time to complete  6 months 
No. of courses  1 course 
Certificates & CEUs
Includes all 500+ courses
Includes certificate  
Includes CEUs  
Selfpaced  
Instructor support  
Time to complete  12 Months 
No. of courses  500+ 
Certificates & CEUs
Includes all 500+ courses
Includes certificate  
Includes CEUs  
Selfpaced  
Instructor support  
Time to complete  Monthly 
No. of courses  500+ 
Learning Outcomes
 Define descriptive statistics.
 Demonstrate statistics and the use frequencies and how to solve these problems.
 Identify multivariate data.
 Demonstration Cross Tabulation problems and solutions
 Demonstrate understanding of correlation in statistics.
 Demonstrate problem and solution use of tTests.
 Demonstrate OneWay ANOVA statistical problems and solutions
 Demonstrate Repeated Measures.
 Demonstrate Factor Analysis.
 Describe basic usage of SPSS for graphing and solving applied statistics problems, and
 Demonstrate mastery of lesson content at levels of 70% or higher.
Student Testimonials
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