Earners demonstrate understanding of inferential statistics concepts including hypothesis testing, t-tests, binomial and discrete distributions, tests involving categorical variables, descriptive statistics and data visualization as exploratory measures, sampling methods, Central Limit Theorem, normal and standard normal distributions, tests involving continuous variables and their underlying distributions, and testing differences in means and building confidence intervals about the mean. This credential is part of the Foundations of Data Science Credential. Complete Descriptive Statistics; Inferential Statistics: Probability Theory, Inferential Statistics, & Hypothesis Testing; Inferential Statistics: Regression, ANOVA, & Forecasting; and Spreadsheet Software & Data Fundamentals to earn the complete Foundations of Data Science Credential.