Applied Statistics 101

no certificate
with CEU Certificate*
-
14Lessons
-
17Exams &
Assignments -
21Hours
average time -
2.1CEUs
-
1,059Students
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 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.
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.
- Completely Online
- Self-Paced
- Printable Lessons
- Full HD Video
- 6 Months to Complete
- 24/7 Availability
- Start Anytime
- PC & Mac Compatible
- Android & iOS Friendly
- Accredited CEUs

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
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
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 Article: 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
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 chi-square statistic to test hypotheses regarding cross tabulations 10 Total Points
Lesson 6 Video
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 t-Tests I
Lesson 8 Video
Complete Exam: Lesson 8 Students t-Tests I
Lesson 9 - Student's t-Tests II
Lesson 9 Video
Review Article: Making Sense of the Two-Sample T-Test
Complete Exam: Lesson 9 Students t-Tests II
Lesson 10 - One-Way ANOVA
o Use one-way 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 One-Way 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
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
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 t-Tests.
- Demonstrate One-Way 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.
Additional Course Information

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Time to complete | 24 Months |
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