In this Intro to Statistics, covering fundamental concepts for analyzing data. It begins by distinguishing between one-variable and two-variable data, explaining types of data (categorical and quantitative) and distributions, including symmetric, skewed, and normal distributions. The resource then outlines measures of center (mean, median, mode) and measures of spread (range, IQR, standard deviation), and introduces Z-scores and Z-tables for understanding data within a normal distribution. Subsequently, it moves into collecting data, detailing various sampling methods (simple random, stratified, cluster, systematic, convenience), contrasting census vs. sample, and identifying different types of bias. The presentation also explains observational studies versus experiments, including key elements like control, random assignment, replication, and blinding, along with types of experiments. Finally, the slides present probability, covering basic rules of probability, random variables, binomial and geometric distributions, and differentiates between PDF and CDF. The last section focuses on sampling distributions, defining sample proportions and sample means, and the conditions necessary for their use in inferential statistics and confidence intervals.