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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
Average Lesson Rating: (231 votes)
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Online CEU Certificate
3.5 CEUs
35 Contact Hours
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Course Title: Applied Statistics 101
Course Number: 7550578
Languages: English - United States, Canada, United Kingdom, Australia, New Zealand, and other English speaking countries
Course Type: General Education
CEU Value: 3.5 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), 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
Instructor: Jeff Clark
Syllabus: View Syllabus
Duration: Continuous: Enroll anytime!
Course Fee: $70.00 (no CEU Certification) || with CEU Certification: $95.00

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, and
  • Demonstrate mastery of lesson content at levels of 70% or higher.
Lesson 1 ExerciseAssignment25
Lesson 1 Descriptive Statistics IExam10
Lesson 2 ExerciseAssignment25
Lesson 2 Descriptive Statistics IIExam10
Lesson 3 ExerciseAssignment25
Lesson 3 FrequenciesExam9
Lesson 4 ExerciseAssignment25
Lesson 4 Multivariate DataExam10
Lesson 5 ExerciseAssignment25
Lesson 5 Cross Tabulation IExam10
Lesson 6 ExerciseAssignment25
Lesson 6 Cross Tabulation IIExam10
Lesson 7 ExerciseAssignment25
Lesson 7 CorrelationExam10
Lesson 8 ExerciseAssignment25
Lesson 8 Students t-Tests IExam10
Lesson 9 ExerciseAssignment25
Lesson 9 Students t-Tests IIExam10
Lesson 10 ExerciseAssignment25
Lesson 10 One-Way ANOVAExam10
Lesson 11 ExerciseAssignment25
Lesson 11 Repeated MeasuresExam10
Lesson 12 Factor AnalysisExam10
Lesson 13 ExerciseAssignment25
Lesson 13 SPSSExam10
The Final ExamExam129
Total Points:558

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