Normal Distribution, Z-Scores & Empirical Rule | Statistics Tutorial #3 | MarinStatsLectures

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  • Опубликовано: 3 окт 2024
  • Normal Distribution, Z-Scores and Empirical Rule: What is the normal distribution and its properties in statistics? What are Z scores and empirical rule? and more with examples!
    👉🏼 Normal Distributions with R Video: (goo.gl/5mwXj9)
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    ▶︎ In this statistics video tutorial we will learn the normal distribution definition, and the concept of standardizing and Z-score and using z table. Here we will also learn about the empirical rule or the (very handy) 68,95,99.7 rule or 1,2,3 standard deviation rule.
    ▶︎ The normal distribution is a very important probability distribution used in statistics, and it is important that you build a solid understanding of the concept and its properties. Standardizing and creating a z-score is simply a unit-conversion.
    ▶︎ We will work through some of the calculations for normal distribution and z scores, although we will focus on the concept of normal distribution and z-scores, not the calculations, as the calculations as simply mechanical, and can usually be done using software.
    ◼︎ Table of Content:
    0:00:05 what is normal distribution
    0:00:16 Understanding normal distribution with example
    0:00:53 What are the properties of the normal distribution (mean, standard deviation)
    0:01:18 what is the empirical rule: (very handy) 68,95,99.7 rule or 1,2,3 standard deviation rule
    0:02:46 In normal distribution, if we know the truth for a population how likely are certain things to show up when we collect data (working through an example)
    0:04:08 Introducing the concept of standardizing as a unit conversion and using Z table
    0:06:17 Z table
    ►► Watch More:
    ► Statistics for Data Science (Complete Series): bit.ly/2SQOxDH
    ►Data Science with R(Complete Series): bit.ly/1A1Pixc
    ►Getting Started with R (Series 1): bit.ly/2PkTneg
    ►Graphs and Descriptive Statistics in R (Series 2): bit.ly/2PkTneg
    ►Probability distributions in R (Series 3): bit.ly/2AT3wpI
    ►Bivariate analysis in R (Series 4): bit.ly/2SXvcRi
    ►Linear Regression in R (Series 5): bit.ly/1iytAtm
    ►ANOVA Concept and with R Videos: bit.ly/2zBwjgL
    ►Hypothesis Testing Videos: bit.ly/2Ff3J9e
    ►Linear Regression Concept and with R Videos: bit.ly/2z8fXg1
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    Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
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    Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!

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