Learn how to solve any 1 Sample Z-Test for Proportions problem! This tutorial explains when to use a 1 sample Z-test for proportions and the process to follow to solve any of these types of hypothesis test questions. In this video, you will follow the 5 C's to solve this type of hypothesis test. These steps can be followed for any test no matter whether it is a 1 sample z test, 1 sample t test, 2 sample t test, ANOVA test, chi-squared test, etc. First, we CREATE our hypotheses in terms of our population proportion, p. Then we CHECK 3 conditions are true in order to prove our data is a good sample of our population. Next, we CALCULATE our test statistic, z, and p-value. Then we COMPARE this p-value to our significance level (or alpha value). And finally we CONCLUDE based on this comparison. This video goes over the high level process and shows how it works with an in depth example problem. 0:00 Overview 1:24 Process 2:36 Create Hypotheses 4:07 Check Conditions 6:16 Calculate 10:52 Compare 11:39 Conclude 12:56 Review For more help, visit: https://theacetutors.com For more videos/content, visit: https://theacetutors.com/blog Sign up for tutoring: https://theacetutors.com/register

1 Sample T Tests for Means EXPLAINED with Example
1.2K views

1 Sample Z Tests for Means EXPLAINED with Example
21.1K views

Hypothesis Testing EXPLAINED
379.5K views

Population vs Sample EXPLAINED with Examples
83.0K views

Bayes' Theorem EXPLAINED with Examples
735.4K views

Continuity and Differentiability EXPLAINED with Examples
268.0K views