Applied Statistics 101
no certificate
with CEU Certificate*

13Lessons

26Exams &Assignments

35Hoursaverage time

3.5CEUs

0Studentshave 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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 SelfPaced
 Instructor Support
 IACET CEUs
 6 Months to Complete
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 Start Anytime
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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 meansLesson 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 setsLesson 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 histogramsLesson 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 covariancesLesson 5  Cross Tabulation I
o Create cross tabulations for bivariate data sets
o Review the basic terminology and procedure associated with statistical hypothesis testingLesson 6  Cross Tabulation II
o Understand how to calculate the chisquare statistic for a cross tabulation
o Use the chisquare statistic to test hypotheses regarding cross tabulationsLesson 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 variablesLesson 8  Student's tTests I
o Learn and apply hypothesis testing procedure to the onesample Student's ttestLesson 9  Student's tTests II
o Apply the paired twosample Student's ttest to determine if two samples have statistically different meansLesson 10  OneWay ANOVA
o Identify the test statistic for oneway ANOVA
o Use oneway ANOVA to compare the means of multiple sample groupsLesson 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 analysisLesson 13  SPSS
o Gain some familiarity with SPSS
o Use SPSS to calculate statistical results in some simple cases
Additional Course Information
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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.
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 tTests I  Exam  10 
Lesson 9 Exercise  Assignment  25 
Lesson 9 Students tTests II  Exam  10 
Lesson 10 Exercise  Assignment  25 
Lesson 10 OneWay 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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