Welcome
Fundamentals of Statistics I
Statistical Terms
Probability: Simple Probability
Compound Probability
Conditional probability
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
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
Exercise: Fundamentals of Statistics III
Study Designs and Scientific Evidence
Common Study Designs
Hierarchy of Evidence
Sampling
Randomization
Exercise: Study Designs and Scientific Evidence
Preparing Your Data for Analysis
Types of Data/Variables
Scales of Measurement of Data
Creating a Dataset
Rules for Coding
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
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
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
Exercise: Inferential Statistics
Correlation and Regression
Correlation
Introduction to Regression Analysis
Linear Regression
Exercise: Correlation and Linear Regression
Final Quiz
Assessment of Comprehension
5 attempts allowed
Practical Quiz
5 attempts allowed
Medical Statistics - Level 1
Probability, Descriptive & Inferential Statistics, Correlation & Linear Regression
Medical Statistics - Level 1
Probability, Descriptive & Inferential Statistics, Correlation & Linear Regression
WARNING:
This course contains a few bad puns, some awkward clichés and many mixed metaphors.
It is intended to drive the fear out of medical statistics and drive out the fear of medical statistics.
The course content is much easier to understand than this warning.
The instructors are letting you choose the price you pay for this course!
The instructors are letting you choose the price you pay for this course!
WARNING:
This course contains a few bad puns, some awkward clichés and many mixed metaphors.
It is intended to drive the fear out of medical statistics and drive out the fear of medical statistics.
The course content is much easier to understand than this warning.
About
About the Course
For many students and aspiring researchers, learning statistics is a frightful rite of passage.
Our aim in creating this course is to provide you with a lighthearted but focused practical approach to understand and use statistics in research.
By the end of this course, you should be able to:
- explain fundamental statistical concepts,
- distinguish between the different types of statistical analysis,
- create an appropriate statistical analysis plan for a study, and
- perform most common statistical analysis using SPSS.
We hope you have as much fun learning as we did writing this course.
Enjoy!
Categories
Price
Course Price
Minimum price
$39.99
$49.99
You pay
$49.99Authors earn
$39.99Instructors
About the Instructors
Fatai Akemokwe
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.
Afelemo Orilade
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
Material
Course Material
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