This online course provides an in-depth introduction to hypothesis testing for one population using the one-sample z-test. Students will learn the fundamental principles of hypothesis testing, including setting up null and alternative hypotheses, choosing appropriate significance levels, and calculating test statistics. The course will focus on the one-sample z-test, detailing its assumptions, conditions for use, and step-by-step procedures for conducting the test. Through practical examples and interactive exercises, participants will gain hands-on experience in performing one-sample z-tests, interpreting p-values, and making informed decisions based on statistical evidence. The course is designed to equip learners with the skills to apply the one-sample z-test to real-world data confidently and accurately.