Introduction to 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 statistical terms ranging from foundational (mean, median, mode, standard deviation, variance) to more complex concepts such as normality in data, confidence intervals, and p- values. Additional topics include how to calculate summary statistics and how to carry out hypothesis testing to inform decisions.

OBJECTIVES

1. Recognize key terms in statistics
2. Importance of sample data and ways to infer statistical results
3. Formulate statistical hypothesis for testing
4. Construct a confidence interval for the expectation of a measurement and for the probability of an event
5. Use null hypothesis significance testing to test the significance of results and understand how to compute p-value for these tests

PREREQUISITES

Foundational understanding of R

SYLLABUS & TOPICS COVERED

1. Basics of Statistics
   • Understanding statistics and sampling
   • Define mean, variance and standard deviation
2. Hypothesis Testing
   • Calculate confidence intervals utilizing point estimates and margin of error
   • Define and conduct one and two-tailed tests

SOFTWARE REQUIREMENTS

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