Descriptive Statistics - Characterizing the Distribution

preview_player
Показать описание
An introduction to descriptive statistics. Using a histogram of a normal distribution, measures of central tendency and dispersion are discussed. Each type of summary measure is related to one dimension of the distribution curve displayed in the histogram.
  1. 30MinuteStats
  2. math
  3. statistics
  4. analytics
  5. data analysis
  6. business
Рекомендации по теме
Descriptive Statistics - 0:10:53

Descriptive Statistics - Characterizing the Distribution

Descriptive Statistics in 0:01:00

Descriptive Statistics in Excel Mean, Median, Mode, Std. Deviation,...

6A Characterizing Data 0:14:00

6A Characterizing Data

descriptive statistics course 0:33:33

descriptive statistics course in 30 minutes

Characterizing Data by 0:33:12

Characterizing Data by Type, Level, and Shape

4x01 - Understanding 0:05:45

4x01 - Understanding the aims of descriptive analysis

Types of Descriptive 0:02:11

Types of Descriptive Statistics | statistical measures of central tendency and dispersion

Descriptive Statistics: Measures 0:15:06

Descriptive Statistics: Measures of Central Tendency and Distribution

X-Ray Diffraction || 0:13:59

X-Ray Diffraction || Materials Characterization

Statistical Analysis Descriptive 0:06:31

Statistical Analysis Descriptive

Characterizing Data I 0:14:54

Characterizing Data I

Descriptive Statistics | 0:00:24

Descriptive Statistics | Data Science #dataanalytics #datascience #thedatacharya

GGS300 - Lecture 0:43:08

GGS300 - Lecture 3 - Descriptive Statistics

Descriptive statistics of 0:08:06

Descriptive statistics of a data set

Descriptive statistics and 0:08:30

Descriptive statistics and Inferential statistics

Fun with Excel: 0:13:18

Fun with Excel: Descriptive Statistics

Descriptive Statistics In 0:11:57

Descriptive Statistics In Excel: Detailed Explanation With Example

Descriptive Statistics 0:15:34

Descriptive Statistics

What Characterizes a 0:14:03

What Characterizes a ‘Good’ Player? - Pokémath - Episode 11

Convert to Z-Score 0:00:19

Convert to Z-Score - Intro to Descriptive Statistics

Descriptive and Inferential 0:04:44

Descriptive and Inferential Statistics | Statistics Interview question

Characterizing Data II 0:11:46

Characterizing Data II

Descriptive Statistics I 0:17:17

Descriptive Statistics I

Introduction to statistics: 0:47:39

Introduction to statistics: variables and descriptive statistics

Комментарии
Автор

No problem...the more you get into it, sometimes it's easy to forget the basics. Glad to help.

MinuteStats
Автор

Awesome! That actually makes sense. I wasnt getting that it was a summation of a few distributions, 4 years in economics and i still have problems translating math into words. Thanks for your help!

Fuzzzboots
Автор



Fuzzzboots, thanks for the question. Here you are multiplying a normal distribution, Ui, by some constants (i.e. v1, v2, v3). For each constant, the new distribution viUi will be normal, with the characteristics of mean = vi*10, and variance = (vi^2)*4. If we assume that each of the three new distributions are independent, then the sum (G) is also normal and has a mean equal to the sum of the three means, and variance equal to the sum of the three variances.

Hope this helps!

MinuteStats
Автор

Hey, thanks for the video. I have a question though, what if you dont have a histogram for a particular distribution, how would you characterize it given some parameters? For example if G=Sum viUi and you know Ui ~ N(10, 4) and v1=3, v2=2, v3=1. How would you characterize it then?

Fuzzzboots