Dive into the world of statistical inference through this comprehensive 90-minute tutorial on hypothesis testing and p-values. Explore key concepts such as understanding p-values, conducting t-tests for comparing means, and choosing appropriate statistical tests. Learn to perform hypothesis tests using Excel, grasp the differences between Type 1 and Type 2 errors, and understand statistical significance. Examine the relationship between correlation and causation, delve into Analysis of Variance (ANOVA), and practice calculating p-values. Gain insights into paired and independent samples for statistical analysis, equipping yourself with essential tools for data-driven decision-making and research interpretation.