People Innovation Excellence

Statistical Methods

Learning Outcomes

On successful completion of this course, students will be able to: Create how to presented graphically or charts the data in a form that is easy to understand; Examine the various types of descriptive measures; Calculate the probability with a certain condition; Representing probability distributions for discrete and continuous. random variables; Calculate and analyze statistical inference, hypothesis testing and estimation for a population; Formulate simple linier regression and calculate the correlation value

Topics

  1. Statistics and Data Collection
  2. Data Presentation
  3. Descriptive Measures
  4. Probability Concepts
  5. Discrete Probability Distributions
  6. Continuous Probability Distributions
  7. Statistical Inference and Sampling
  8. Hypothesis Testing for The Mean and Variance of a Population
  9. Inference Procedures for Two Populations
  10. Estimation and Testing for Population Proportions
  11. Analysis of Variance
  12. Correlation and Simple Linier Regression
  13. Review

 


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