Please enable JavaScript.

Coggle requires JavaScript to display documents.

Quantitative Research (Advanced Stats (MANOVA (A MANOVA, or Multivariate…

- - - - https://www.youtube.com/watch?v=ZwtxHXh-ZXU
- - - - t-test Calculator for 2 Dependent Means
      - SocialScienceStatistics.com
      - One sample t-test
      - t-test Calculator
    - - A third kind of t-test, the one-sample t-test, can be used when we know the population mean and want to evaluate whether or not a particular sample matches that population mean. For example, we may want to evaluate whether incoming Georgia Tech OMS students have average GRE scores that match the GRE average: the GRE average is known, and we may take one sample of incoming OMS students and compare their mean GRE scores to the GRE average.
      - One-Sample t-Test, from Emory University
      - One Sample t-test, from Kent State University
      - Independent One-Sample T-Test, from Explorable
    - - Simple t-tests will take care of many analyses, but there are slightly more complicated versions for more complex analyses. For example, t-tests assume that the two groups don't interact. But what if you wanted to test the effectiveness of a learning tool without doing a controlled experiment? What if you simply wanted to evaluate whether the students knew more after using the tool than they knew before? For that, you would use a matched t-test, where you pair up connected values.
      - Inferences from Matched Pairs
      - Hypothesis Test: Difference Between Paired Means
      - Dependent T-Test for Paired Samples
      - Paired t-test
    - - A t-test is used to determine if two sets of data are different enough to conclude that the underlying populations from which the data were drawn are also different. In a controlled experiment, a t-test could be used to determine if control and experimental conditions differed after the application of some treatment, such as evaluating the effectiveness of some learning intervention. In survey research, a t-test could be used to determine if responses drawn from different populations differ, such as evaluating whether domestic and international students view the Georgia Tech OMS program equally favorably.
      - The T-Test
      - T-Test (Independent Samples)
      - What Is a t-test? And Why Is It Like Telling a Kid to Clean Up that Mess in the Kitchen?
- - - - Intro to Statistics, a Udacity course
        
        Intro to Descriptive Statistics, a Udacity course
        
        Intro to Inferential Statistics, a Udacity course
        
        Descriptive Statistics, a Coursera course from the University of Amsterdam
        
        Inferential Statistics, a Coursera course from the University of Amsterdam
    - - Quantitative Research Methods: Multivariate, a course from MIT OpenCourseWare
        
        Explore Statistics with R, an edX course from Karolinska Institutet
        
        Introduction to R Programming, an edX course from Karolinska Institutet
    - - Big Data in Education, a course from Columbia University
        
        Data Analyst Nanodegree, a program from Udacity
        
        Machine Learning, a Udacity course from Georgia Tech
        
        Intro to Machine Learning, a Udacity course
        
        Intro to Data Science, a Udacity course
        
        Data Analysis with R, a Udacity course
        
        Data Science, a Coursera specialization from Johns Hopkins University
        
        Machine Learning, a Coursera course from Stanford University
        
        Data Science and Machine Learning Essentials, an edX course from Microsoft