(HE) Statistics in Education for Mere Mortals

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(HE) Statistics in Education for Mere Mortals

Course Details

Cost

FREE

Upcoming Schedule

  • In Session

Course Provider

Canvas Network online courses
The Canvas Network sets itself apart from other education providers by making learning current and directly relevant to you. For example, the network uses the AMC hit TV series "The Walking Dead" to teach lessons in survival, science and society. Looking to advance your business career even further? Learn from knowledgeable professors like Kirk O. Hanson. Hanson has 23 years of experience teaching business ethics and is the executive director for the Markkula Center for Applied Ethics at S...
The Canvas Network sets itself apart from other education providers by making learning current and directly relevant to you. For example, the network uses the AMC hit TV series "The Walking Dead" to teach lessons in survival, science and society. Looking to advance your business career even further? Learn from knowledgeable professors like Kirk O. Hanson. Hanson has 23 years of experience teaching business ethics and is the executive director for the Markkula Center for Applied Ethics at Santa Clara University. Learn about large events like the Olympics with professor Mark Wilson, who has visited eight world's fairs and two Olympics. The Canvas Network leaves behind the “one-size-fits-all” approach to online learning and offers classes taught by outstanding professors with course material that is made relevant to today's society.

Provider Subject Specialization
Education
Business & Management
10 reviews

Course Description

This short course will provide an introductory, hands-on introduction to statistics used in educational research and evaluation. Participants will learn statistical concepts, principles, and procedures by building Excel spreadsheets from scratch in a guided learning approach using very short video-based tutorials. Examples of specific skills to be learned include scales or measurement, measures of central tendency, measures of variability, and the computation of the following: mean, mode, and median, standard deviation, z (standard) scores, Pearson product-moment correlation coefficient (r), dependent t test, and one-way analysis of variance (ANOVA). Read More.

The course is designed primarily for two audiences: 1) educational professionals who would like to be more informed about how to compute basic statistics and how to use them intelligently in their work; and 2) first-year doctoral students who want a short and friendly in...

This short course will provide an introductory, hands-on introduction to statistics used in educational research and evaluation. Participants will learn statistical concepts, principles, and procedures by building Excel spreadsheets from scratch in a guided learning approach using very short video-based tutorials. Examples of specific skills to be learned include scales or measurement, measures of central tendency, measures of variability, and the computation of the following: mean, mode, and median, standard deviation, z (standard) scores, Pearson product-moment correlation coefficient (r), dependent t test, and one-way analysis of variance (ANOVA). Read More.

The course is designed primarily for two audiences: 1) educational professionals who would like to be more informed about how to compute basic statistics and how to use them intelligently in their work; and 2) first-year doctoral students who want a short and friendly introduction (or brush up) to basic statistics before taking full graduate-level statistics courses. However, this course would be useful to anyone who wants a good short, hands-on, friendly, introduction to the most fundamental statistical ideas.

Objectives

By the end of the course, you will know or be able to do the following:

Introduction to Statistics

  • Scales of measurement
  • Measures of Central Tendency: Mean, Median, & Mode
  • The Normal Distribution
  • How to compute a mean using Excel

Descriptive Statistics

  • Measures of variability: Standard deviation
  • Standard (z) scores
  • How to compute the standard deviation using Excel
  • How to compute a z score using Excel

Correlational Statistics

  • The difference between univariate and bivariate distributions
  • The concept of correlation and the difference between positive and negative correlations
  • How to compute a Pearson product-moment correlation coefficient (r) using Excel

Inferential Statistics

  • Hypothesis testing and the null hypothesis
  • Statistical significance
  • Independent and dependent variables
  • How to compute a t-test value for an independent-samples design using Excel
  • How to compute a t-test value for a correlated-samples design (i.e. dependent t test) using Excel
  • Testing for differences between more than two means: The F distribution
  • How to compute an analysis of variance (ANOVA) using Excel

Course is offered by Canvas Network.

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