Curated Video
Random Variables and its Probability Distributions
It defines and explains random variable and its probability distributions. Further it elaborates the concept of mean, variance and standard deviation of a random variable.
One Minute Economics
The Standard Deviation (and Variance) Explained in One Minute: From Concept to Definition & Formulas
Just hearing the words "standard deviation" or the word "variance" makes a lot of people look the other way because they're tempted to think a discussion involving statistical mumbo-jumbo will follow. Fortunately though, understanding...
TMW Media
Standard Deviation & Variance
This program covers the important topic of Standard Deviation and Variance in Probability and Statistics. We begin by discussing what Standard Deviation and Variance is and why it is important. Next, we solve several problems that...
Curated Video
The Importance of Budgeting in Business: Methods and Variance Analysis
This video provides an in-depth explanation of budgeting in business. It describes the importance of setting financial targets for revenue and costs, as well as the allocation of funds to individual departments to achieve strategic...
Packt
Probability Statistics - The Foundations of Machine Learning - Dependence and Variance of Two Random Variables
In this video, we will cover the dependence and variance of two random variables. This clip is from the chapter "Visualization in Intuition Building" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...
Packt
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals Within a Population with a Known Variance
In this video, you will see the first example of the use of confidence intervals and introduce the concept of the z-score. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business...
Packt
Statistics for Data Science and Business Analysis - Test for the Mean; Population Variance Unknown
In this video, using the new p-value notion, some t-tests are performed. This clip is from the chapter "Hypothesis Testing" of the series "Statistics for Data Science and Business Analysis".This section explains null and alternative...
Curated Video
Randomness - Crash Course Statistics
There are a lot of events in life that we just can’t predict, but just because something is random doesn’t mean we don’t know or can’t learn anything about it. Today, we’re going to talk about how we can extract information from...
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
Understanding Genetic Variants and their Impact on Proteins and Phenotypes
This video discusses genetic variants. The video explains how DNA codes for proteins and how variations in the DNA sequence can lead to alterations in the amino acids and shape of the protein produced, which can lead to changes in the...
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...
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
Measures of Spread - Crash Course Statistics
Today, we're looking at measures of spread, or dispersion, which we use to understand how well medians and means represent the data, and how reliable our conclusions are. They can help understand test scores, income inequality, spot...
Packt
PMP Certification Training - Control Cost
This video introduces you to control cost. This clip is from the chapter "Project Cost Management" of the series "PMP® Certification Training".This section explains project cost management.
Packt
Practical Data Science using Python - Linear Regression OLS Assumptions and Testing
This video explains linear regression OLS assumptions and testing. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Packt
Statistics for Data Science and Business Analysis - Test for the Mean; Independent Samples (Part 1)
This is the first of the two-part video, where the means for two dependent samples are tested. This clip is from the chapter "Hypothesis Testing" of the series "Statistics for Data Science and Business Analysis".This section explains...
Packt
A Practical Approach to Timeseries Forecasting Using Python - Important Parameters
This video talks about the important parameters in time series forecasting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Catalyst University
1-Way ANOVA: Theory and Excel Calculation
1-Way ANOVA: Theory and Excel Calculation
Packt
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Independent Samples (Part 1)
This is the first of the three-part video, where you'll calculate confidence intervals for two means with independent samples. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business...
Packt
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Independent Samples (Part 2)
This is the second of the three-part video, where you'll calculate confidence intervals for two means with independent samples. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Statistical Based Methods
In this video, we will cover statistical based methods. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Packt
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Multicollinearity
This video explains multicollinearity. This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section focuses on SAS...
Packt
Practical Data Science using Python - Principal Component Analysis - Computations 2
This video explains Eigenvalues and Eigenvectors. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using PCA.
Packt
Rust Programming Master Class from Beginner to Expert - Functions within a Trait
In this video, we will cover functions within a trait. This clip is from the chapter "Structures, Traits, Generics, Enums" of the series "Rust Programming Master Class from Beginner to Expert".In this section, we will be exploring...
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