Quick & Easy Statistics (The Course)
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Course Info

This course includes 5 attempts.



  • Data Science

Course Material

  • Welcome
  • Fundamentals of Statistics I
  • Statistical Terms
  • Probability: Simple Probability
  • Compound Probability
  • Conditional probability
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    Exercise: Fundamentals of Statistics I
  • Fundamentals of Statistics II
  • More Statistical Terms
  • Probability Distributions
  • Normal distribution and z-scores
  • Sampling Distributions and the Central Limit Theorem
  • Other Common Distributions
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    Exercise: Fundamentals of Statistics II
  • Fundamentals of Statistics III
  • Research Questions and Hypotheses
  • Theoretical Basis of Hypothesis Testing
  • Confidence Intervals
  • Non-parametric tests
  • Interpreting p values and confidence intervals
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    Exercise: Fundamentals of Statistics III
  • Study Designs
  • Common Study Designs
  • Sampling
  • Randomization
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    Exercise: Study Designs
  • Preparing Your Data for Analysis
  • Types of Data/Variables
  • Scales of Measurement of Data
  • Creating a Dataset
  • Rules for Coding
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    Exercise: Preparing Your Data for Analysis
  • Data Management in SPSS
  • The SPSS Interface
  • Importing Data from Other Sources
  • Modifying Data Entries
  • Copying and Pasting Data
  • Inserting New Cases / Variables
  • Moving Data
  • Computing a New Variable
  • Recoding a Variable
  • Selecting or Filtering Data
  • Handling Multiple-Response Data
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    Exercise: Data Management in SPSS
  • Describing Data
  • Exploring Your Data
  • Describing Data Using the Frequencies and Descriptives Functions of SPSS
  • Displaying Data with Charts
  • Assessing Normality of Distribution of Continuous Data
  • Cross-tabulations and Correlations
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    Exercise: Describing Data
  • Inferential Statistics
  • Recap of Basic Concepts
  • Choosing an Appropriate Test
  • The One-Sample T-Test
  • The Independent-Samples T-Test
  • The Paired-Samples T-Test
  • One-Way Analysis of Variance (ANOVA)
  • Chi-Square and Risk
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    Exercise: Inferential Statistics
  • Correlation and Regression
  • Correlation
  • Introduction to Regression Analysis
  • Linear Regression
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    Exercise: Correlation and Linear Regression
  • Final Quiz
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    Assessment of Comprehension5 attempts allowed
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    Practical Quiz5 attempts allowed


    • Dr Fatai Akemokwe (MBBS, FWACP) is a clinical researcher who holds a Diploma in Statistics. He is also an instructor with Enigma Ventures, an organization focused on medical and information technology education. He has a passion for making learning easier and more efficient. He has been involved in data analysis of several research projects. He has eclectic interests ranging from alternative rock to philately.

    • Dr. Afelemo Orilade (MBBS) is a clinical researcher who has been involved in the study design and data analysis of a number of medical research projects. He strongly believes that every person should be given equal chance to succeed and the best gift that a person can be given is education and knowledge

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