Z-Test Explained

Описание: 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