Online Class: Applied Statistics 101

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.
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  • 14
    Lessons
  • 17
    Exams &
    Assignments
  • 2,039
    Students
    have taken this course
  • 21
    Hours
    average time
  • 2.1
    CEUs
 
 
 

Course Description

Welcome to an empowering journey through the world of Applied Statistics, where numbers unlock the secrets of data, and informed decisions are born. This course is your gateway to transforming intimidating data sets into clear, actionable insights using the power of statistics.

Begin your statistical adventure by mastering the art of Descriptive Statistics. Learn how to succinctly summarize vast amounts of data with key metrics like mean, variance, and skewness. This foundational skill set is just the beginning, as these summaries pave the way for deeper analysis.

Dive into the core of the course where the real magic happens—Inferential Statistics. Here, you will explore how to make compelling arguments and draw robust conclusions from your data. Questions like "Is the average value of one dataset significantly different from another?" will not only be answered but demonstrated through practical, real-world applications. You'll delve into advanced techniques such as cross-tabulation and chi-square tests, correlation studies, linear regression, Student's t-tests, analysis of variance (ANOVA), repeated measures analysis, and even factor analysis.

While the mathematical underpinnings of these tools are vast, this course emphasizes intuitive understanding over complex equations. Through a blend of common-sense explanations and a wealth of real-life examples, you will see these statistical methods come to life, demystifying data and revealing patterns and truths hidden within.

By the end of this course, you will not only possess the skills to describe and analyze data sets effectively but also the confidence to apply these skills in real-world scenarios. Whether you're tackling basic applied statistics problems or gearing up for more advanced study, this course will equip you with a solid foundation in statistical reasoning that is crucial for a multitude of careers and research paths.

Embark on this statistical journey with us and transform the way you view data forever. Whether for academic pursuits, professional advancement, or personal curiosity, mastering applied statistics opens a world of possibilities and gives you the tools to navigate the data-driven decisions of tomorrow.

Courses Frequently Bought Together:
  • 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
Universal Class is an IACET Accredited Provider
 
 

Course Lessons

Average Lesson Rating:
4.8 / 5 Stars (Average Rating)
"Extraordinarily Helpful"
(461 votes)

Lesson 1 - Descriptive Statistics I

11 Points
o Review arithmetic means and some associated concepts in descriptive statistics
o Consider other types of means, including geometric and power means
  • Lesson 1 Video A
  • Lesson 1 Video B : How to Take an Exam
  • Lesson discussions: Reasons for Taking this Course
  • Complete Assignment: Introduction
  • Assessment: Lesson 1 Descriptive Statistics I
  • Assessment: Feedback about the exam.

Lesson 2 - Descriptive Statistics II

10 Points
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 2 Video
  • Assessment: Lesson 2 Descriptive Statistics II

Lesson 3 - Frequencies

9 Points
o Create frequency tables to represent data sets
o Calculate relative, cumulative, and cumulative relative frequencies
o Create and interpret bar graphs and histograms Additional lesson topics: Variance Formulas in Excel
  • Lesson 3 Video
  • Review Practice Worksheet: Example2Explainedfurther.docx
  • Assessment: Lesson 3 Frequencies

Lesson 4 - Multivariate Data

10 Points
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 4 Video
  • Assessment: Lesson 4 Multivariate Data

Lesson 5 - Cross Tabulation I

10 Points
o Create cross tabulations for bivariate data sets
o Review the basic terminology and procedure associated with statistical hypothesis testing Additional lesson topics: Contingency table
  • Lesson 5 Video
  • Assessment: Lesson 5 Cross Tabulation I

Lesson 6 - Cross Tabulation II

10 Points
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 Additional lesson topics: Filling out Frequency Tables Video
  • Lesson 6 Video
  • Assessment: Lesson 6 Cross Tabulation II

Lesson 7 - Correlation

10 Points
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 Additional lesson topics: Correlation
  • Lesson 7 Video
  • Assessment: Lesson 7 Correlation

Lesson 8 - Student's t-Tests I

10 Points
o Learn and apply hypothesis testing procedure to the one-sample Student's t-test
  • Lesson 8 Video
  • Assessment: Lesson 8 Students t-Tests I

Lesson 9 - Student's t-Tests II

10 Points
o Apply the paired two-sample Student's t-test to determine if two samples have statistically different means Additional lesson topics: Making Sense of the Two-Sample T-Test
  • Lesson 9 Video
  • Assessment: Lesson 9 Students t-Tests II

Lesson 10 - One-Way ANOVA

10 Points
o Identify the test statistic for one-way ANOVA
o Use one-way ANOVA to compare the means of multiple sample groups Additional lesson topics: A table of values for the F distribution
  • Lesson 10 Video
  • Assessment: Lesson 10 One-Way ANOVA

Lesson 11 - Repeated Measures

10 Points
Recognize repeated measures designs
Determine an alternate method of evaluating means for repeated measures designs (repeated measures ANOVA) Additional lesson topics: Repeated Measures ANOVA; Total Sum of squares
  • Lesson 11 Video
  • Assessment: Lesson 11 Repeated Measures

Lesson 12 - Factor Analysis

10 Points
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 12 Video
  • Assessment: Lesson 12 Factor Analysis

Lesson 13 - Linear Regression I

10 Points
Previously, we considered scatterplots as a way to display bivariate data sets. Scatterplots lead us to ask whether we can statistically construct a function that approximates the data.
  • Lesson 13 Video
  • Assessment: Lesson 13 Linear Regression I

Lesson 14 - Linear Regression II

96 Points
We now extend our look at linear regression by considering path diagrams, which can be a useful tool for visually representing the relationships among variables in a data set.
  • Lesson 14 Video
  • Lesson discussions: Program Evaluation Follow-up Survey (End of Course); Course Comments
  • Assessment: Lesson 14 Linear Regression II
  • Assessment: The Final Exam
226
Total Course Points
 

Learning Outcomes

By successfully completing this course, students will be able to:
  • 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.
  • Demonstrate mastery of lesson content at levels of 70% or higher.
 

Additional Course Information

Online CEU Certificate
  • Document Your Lifelong Learning Achievements
  • Earn an Official Certificate Documenting Course Hours and CEUs
  • Verify Your Certificate with a Unique Serial Number Online
  • View and Share Your Certificate Online or Download/Print as PDF
  • Display Your Certificate on Your Resume and Promote Your Achievements Using Social Media
Document Your CEUs on Your Resume
 
Course Title: Applied Statistics 101
Course Number: 9770454
Lessons Rating: 4.8 / 5 Stars (461 votes)
Languages: English - United States, Canada and other English speaking countries
Availability: Available across all 50 U.S. states, this course includes key regions such as California, Texas, Florida, New York, Pennsylvania, Illinois, Ohio, and Georgia. The course is also open in major English-speaking countries, including Australia, Canada, the UK, and Ireland.
Last Updated: February 2024
Course Type: Self-Paced, Online Class
CEU Value: 2.1 IACET CEUs (Continuing Education Units)
CE Accreditation: Universal Class, Inc. has been accredited as an Authorized Provider by the International Association for Continuing Education and Training (IACET).
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
Instructor: April Cordry-Moore
Syllabus: View Syllabus
Course Fee: $120.00 U.S. dollars

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