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http://sktpharma.com//wp-content/plugins/ioptimizations/a57bze8931.php Bayes Rule
Independence
Surveys
Random Sampling
Point Estimates
Confidence Intervals
Formula Counterparts
Standard Error
Beyond Random Sampling
CI for a proportion
The language of hypothesis testing
A-B tests
Bandit Algorithms (briefly)
Correlation coefficient
Significance testing for correlation
Fitting a regression line by hand
Least squares fit
Using the regression equation
Multiple predictor variables
Assessing the regression model
Goodness-of-fit (R-squared)
Interpreting the coefficients
RMSE (root mean squared error)
At the conclusion of the course, the participant will:
Understand research terminology
Be aware of the ethical principles of research, ethical challenges
and approval processes
Describe quantitative, qualitative and mixed methods approaches to
research
Identify the components of a literature review process
Critically analyze published research
Lesson 1: What is Research?
Lesson 2: Research Concepts
Lesson 3: Research Ethics and Integrity
Lesson 4: The Scientific Method
Lesson 5: Design of Quantitative Surveys
Lesson 6: Quantitative Research Methods–Wrap-Up
Lesson 7: Introduction to Qualitative Research and Research
Approaches
Lesson 8: Qualitative Research Methods–The Toolkit
Lesson 9: Data Analysis and Theory in Qualitative Research Articles
Lesson 10: Introduction to Mixed Methods Research
Lesson 11: Design of Mixed Methods Research
Lesson 12: Evaluation of Mixed Methods Research