Curated Video
Estimating Percentages using the Empirical Rule
This video explains how to estimate the percentage of adult American females between 5 feet and 5 feet 10 inches tall using the empirical rule. The empirical rule states that approximately 68% of the data falls within one standard...
Catalyst University
NO BS: Independent t-Test Excel Tutorial
NO BS: Independent t-Test Excel Tutorial
Catalyst University
Excel/Numbers: Program Average and Standard Deviation
Excel/Numbers: Program Average and Standard Deviation
Brian McLogan
How to find the number of standard deviations that it takes to represent all the data
👉 Learn how to find the variance and standard deviation of a set of data. The variance of a set of data is a measure of spread/variation which measures how far a set of numbers is spread out from their average value. The standard...
Curated Video
Apache Spark 3 for Data Engineering and Analytics with Python - Working with Missing or Bad Data
In this video, we will learn to clean the data frame and remove missing or bad data. This clip is from the chapter "Structured API - Spark DataFrame" of the series "Apache Spark 3 for Data Engineering and Analytics with Python".This...
Curated Video
Comparing Data: Measures of Center and Spread
In this video, the teacher explains how to compare two sets of data using measures of center (median and mean) and measures of spread (standard deviation and IQR). The teacher emphasizes the importance of choosing the appropriate...
Curated Video
Statistics for Data Science and Business Analysis - Practical Example
This video contains a practical example on descriptive statistics. This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This section describes the...
APMonitor
Python Import Export Data
Import data from an Excel spreadsheet, CSV file, PDF report, database, or cloud storage into Python. Data may reside in local storage or obtained through a remote connection to a database, web service, or extracted from a webpage. 0:00...
Let's Tute
Basic Excel Statistical Functions Tutorial
In this Microsoft Excel tutorial, we cover basic statistical functions such as count, median, mode, percentile, standard deviation, variance, and max/min. We explain the purpose of each function and provide examples to demonstrate how...
msvgo
Measures of Dispersion
It explains the limitations of measures of central tendency and hence the need of measures of dispersion. It also introduces various measures of dispersion.
Curated Video
Predicting Intervals and Population Percentages Using the Empirical Rule
This video explains how to use the Empirical Rule to predict intervals and population percentages in a normal distribution. It covers the concept of normal distributions, the characteristics of the Empirical Rule, and how to apply it to...
Curated Video
Introduction to Variation and Spread in Economics
The video explores the concepts of variation and spread in economics. The speaker explains the meaning of range, quantiles, and standard deviation and how they can be used to interpret and analyze data. He discusses the different types...
Curated Video
How to Calculate Standard Deviation
This video explains how to calculate standard deviation, defines variance and standard deviation, and provides two formulas for finding standard deviation. The video also includes an example calculation of standard deviation using both...
Curated Video
The Complete Excel Guide: Beginners to Advanced - Statistical Functions for Description - Part 2
The aim of this video is to further explore statistical functions for description. This clip is from the chapter "Excel 2019 Advanced: Statistical Functions" of the series "The Complete Excel Guide: Beginners to Advanced".In this...
Curated Video
Data Science and Machine Learning with R - Data Preprocessing
This video explains some of the practical ways of data preprocessing. This clip is from the chapter "Data Preprocessing" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains...
Curated Video
Understanding the Impact of Outliers on Data Analysis
In this video, Miss Culp's Honors English class of 25 students had to read 10 assigned books over the summer. The video discusses how outliers can affect the shape, center, and spread of data, comparing their impact to the effect of...
Curated Video
Multi-Paradigm Programming with Modern C++ - More Range Examples
Everything you can do with loops and algorithms; you can also do with ranges. Thanks to lazy evaluation of views, the code becomes more functional, and often more compact. • Returning ranges from functions • Creating a new range that...
Curated Video
Data Science and Machine Learning with R - Data Preprocessing Introduction
This video introduces you to data preprocessing. This clip is from the chapter "Data Preprocessing" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains data preprocessing.
Catalyst University
Excel/Numbers: Absolute Cells vs Reference Cells
Excel/Numbers: Absolute Cells vs Reference Cells
Brian McLogan
Learn how to create a normal distribution curve given mean and standard deviation
👉 Learn how to find probability from a normal distribution curve. A set of data are said to be normally distributed if the set of data is symmetrical about the mean. The shape of a normal distribution curve is bell-shaped. The normal...
Packt
Create a computer vision system using decision tree algorithms to solve a real-world problem : Introduction to MatPlotLib
From the section: Python Crash Course [Optional]. In this section, we’ll continue diving into Python data structures with tuples and dictionaries, functions, Boolean Operations and Loops, and libraries like Pandas, MatPlotLib and Seaborn...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Linear Regression
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Curated Video
Statistics for Data Science and Business Analysis - Standard Error
This video introduces the standard error - an important ingredient for making predictions. This clip is from the chapter "Inferential Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This section...