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STA 223 Applied General Statistics I

ND2 levelSciences15 topics

STA 223 covers 15 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. Introduction to linear regression
  2. Simple linear regression model
  3. Free-hand and centroid estimation methods
  4. Least squares estimation
  5. Interpretation of regression coefficients
  6. Distribution of regression coefficient estimates
  7. Confidence intervals for regression coefficients
  8. Significance tests for regression coefficients
  9. Association between two variables
  10. Correlation and correlation coefficient
  11. Hypothesis testing for correlation coefficient
  12. Confidence intervals for population correlation
  13. Contingency tables and expected frequencies
  14. Chi-square test of independence
  15. Non-parametric tests

A sample from this course

One topic, as StudyPath teaches it.

Introduction to linear regression

Linear regression is the statistical tool that models the relationship between a dependent variable and one or more independent variables, using a straight‑line equation. Mastering it means understanding how to estimate the line, test its significance, and use it for prediction – all of which are central to many exams in the NUC, CCMAS, NBTE and NCCE syllabi.

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