Intermediate Statistics in R

4 hours of instruction

This course is designed for learners who would like to learn about statistics and apply it for decision-making. This course is a comprehensive review of intermediate statistics topics like t-value, t-distribution, chi-square distribution, f-statistic, and f-distribution that enable us to compare observed and expected frequencies objectively.

OBJECTIVES

1. Recognize key terms in statistics
2. Importance of sample data and ways to infer statistical results
3. Use specific significance tests including t-test, chi-squared test,and f-test

PREREQUISITES

Intermediate concepts of Statistics

SYLLABUS & TOPICS COVERED

1. T-values
   • Calculate standardized t-values in comparision to z-values
   • Interpret t-values and understand the t-distribution
2. Chi-Square distribution
   • Calculate probabilities using Chi-square
   • Chi-square distribution and goodness of fit test
3. F distribution
   • Describe the F distribution and its parameters
   • Compare variance using F-test

SOFTWARE REQUIREMENTS

You will have access to an R-based Posit Cloud environment for this course. No additional download or installation is required.