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STA 312 Applied General Statistics II

HND1 levelSciences27 topics

STA 312 covers 27 topics. StudyPath paces them into daily study sessions that finish before your exam date, with practice questions and worked answers for each one.

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Course outline

The topics this course covers, in teaching order.

  1. Simple linear regression model
  2. Least squares fitting of a straight line
  3. Confidence intervals for regression coefficients
  4. Hypothesis testing for regression coefficients
  5. F-test in regression
  6. Regression model assumptions and diagnostics
  7. Correlation between two variables
  8. Product-moment correlation coefficient
  9. Confidence intervals for correlation coefficients
  10. Hypothesis testing for correlation
  11. Multiple linear regression with two independent variables
  12. Estimation of multiple regression coefficients
  13. Multiple regression coefficient intervals and tests
  14. ANOVA in multiple linear regression
  15. Stepwise regression equation selection
  16. Polynomial regression models
  17. Dummy variables in multiple regression
  18. Orthogonal polynomials
  19. Orthogonal regression fitting
  20. Multiple correlation coefficients
  21. Partial correlation coefficients
  22. Hypothesis testing for correlation coefficients
  23. Attributes, factors and factor levels
  24. Contingency tables and chi-square tests
  25. Yates continuity correction
  26. Fisher’s exact test
  27. Measures of association and matched-sample tests

A sample from this course

One topic, as StudyPath teaches it.

Simple linear regression model

The simple linear regression model describes the relationship between a single predictor (independent variable) and a response (dependent variable) using a straight line. Mastering the model’s assumptions, parameter estimation, hypothesis testing, and interpretation of fitted values is essential for analysing data in the sciences and for answering exam questions that ask for predictions, confidence intervals, or…

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