Online Course: Applied Statistics 101

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$95.00
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3.5 CEUs :: 35 Contact Hours :: Self-Paced :: Instructor Support :: 6 Month Subscription

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

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Average Lesson Rating: (231 votes)

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3.5 CEUs

Continuing Education Units

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

Category:

Home > Mathematics > Algebra and Math Studies

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

Course URL: applystatistics.onlineclasses.com

Instructor: Jeff Clark

Syllabus: View Syllabus

Duration: Continuous: Enroll anytime!

Requirements: View Technical Requirements

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 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 t-Tests I	Exam	10
Lesson 9 Exercise	Assignment	25
Lesson 9 Students t-Tests II	Exam	10
Lesson 10 Exercise	Assignment	25
Lesson 10 One-Way 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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