Online Class: Applied Statistics 101
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| | Course Cost: 6 Month Subscription Course (no Certificate) = $65.00 Course with CEU Certificate* = $90.00 | * Instantly download, print, and share your CEU Certificate at course completion (additional shipping/handling charges apply for hard copy delivery).
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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. Course Lessons |  | Lesson 1 - Descriptive Statistics Io 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 IIo 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 - Frequencieso 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 Datao 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 Io Create cross tabulations for bivariate data sets
o Review the basic terminology and procedure associated with statistical hypothesis testing | Lesson 6 - Cross Tabulation IIo 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 - Correlationo 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 Io Learn and apply hypothesis testing procedure to the one-sample Student's t-test | Lesson 9 - Student's t-Tests IIo Apply the paired two-sample Student's t-test to determine if two samples have statistically different means | Lesson 10 - One-Way ANOVAo Identify the test statistic for one-way ANOVA
o Use one-way ANOVA to compare the means of multiple sample groups | Lesson 11 - Repeated MeasuresRecognize repeated measures designs
Determine an alternate method of evaluating means for repeated measures designs (repeated measures ANOVA) | Lesson 12 - Factor Analysiso 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 - SPSSo Gain some familiarity with SPSS
o Use SPSS to calculate statistical results in some simple cases |
Additional Information | Course Title | : | Applied Statistics 101 | | CEU Value | : | | | Standard | : | Course Adheres to the ANSI/IACET 1-2007 Standard | | Accreditation | : | | | Languages | : | English - United States, Canada, United Kingdom, Australia, New Zealand, and other English speaking countries | | Course Number | : | 7550578 | | Course Type | : | General Education | | Course URL | : | | | Course Rating | : |  | | Instructor | : | | | Syllabus | : | | | Grading Policy | : | Earn a final grade of 70% or higher to receive a CEU Certificate documenting CEUs earned | | Assessment Method | : | Lesson assignments and review exams | | Duration | : | Continuous: Enroll anytime! | | Requirements | : | View Technical Requirements | | Course Fee | : | Basic Course: $65.00 (no CEU Certificate) | | | | | NOT FOR COLLEGE CREDIT This is a non-credit course, and is provided for your personal enrichment.
This course is not intended to be a substitute for any state, government, licensing, certification or educational requirements.
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