Z-Test Explained скачать в хорошем качестве

Z-Test Explained

In this video, we talk about the z-test, a statistical method used to determine whether there is a significant difference between sample data and a population mean. We also discuss how it differs from the t-test, focusing on when to use each test based on sample size and whether the population standard deviation is known. References ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ T-test Explained:    • T-Test Explained   Related Videos ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Basic Probability Distributions Explained: Bernoulli, Binomial, Categorical, Multinomial:    • Basic Probability Distributions Explained:...   Marginal, Joint and Conditional Probabilities Explained:    • Marginal, Joint and Conditional Probabilit...   Why We Don't Use the Mean Squared Error (MSE) Loss in Classification:    • Why We Don't Use the Mean Squared Error (M...   The Bessel's Correction:    • Why We Divide by N-1 in the Sample Varianc...   Gradient Boosting with Regression Trees Explained:    • Gradient Boosting with Regression Trees Ex...   P-Values Explained:    • P-Values Explained   Kabsch-Umeyama Algorithm:    • Kabsch-Umeyama Algorithm - How to Align Po...   Eigendecomposition Explained:    • Eigendecomposition Explained   Covariance Matrix Explained:    • Covariance Matrix - Explained   Contents ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 00:31 - Z-Test 00:55 - T-Test 01:35 - Sample size 02:03 - Z-Test Types 02:47 - Z-Table 03:16 - Outro Follow Me ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic   / datamlistic   📸 Instagram: @datamlistic   / datamlistic   📱 TikTok: @datamlistic   / datamlistic   Channel Support ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon:   / datamlistic   ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #ztest #ttest #studenttest #statistics #datascience #machinelearning