Packt
Statistics for Data Science and Business Analysis - Measuring How Data is Spread Out: Calculating Variance
In this video, you will learn how to calculate variance. This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This section describes the fundamentals of...
Packt
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - T-Test Independent Samples Overview (Example)
This is an overview (example) of t-test independent samples analysis. This clip is from the chapter "Statistical Analysis" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section focuses on...
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
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
Statistics for Data Science and Business Analysis - Test for the Mean; Independent Samples (Part 2)
This is the second 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
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals Within a Population with an Unknown Variance
This video is about calculating confidence intervals within a population with an unknown variance. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business Analysis".This section...
Packt
Statistics for Data Science and Business Analysis - Test for the Mean; Population Variance Known
This video is about test for the mean when population variance is known. This clip is from the chapter "Hypothesis Testing" of the series "Statistics for Data Science and Business Analysis".This section explains null and alternative...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Max Variance Formulation
In this video, we will cover PCA Max Variance Formulation. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Variance
In this video, we will cover variance. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Packt
R Programming for Statistics and Data Science - Test for the Mean - Population Variance Known
This video explains test for the mean - population variance known. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
Packt
R Programming for Statistics and Data Science - Variance, standard deviation, and coefficient of variability
This video explains variance, standard deviation, and coefficient of variability. This clip is from the chapter "Exploratory Data Analysis" of the series "R Programming for Statistics and Data Science".This section explains exploratory...
Packt
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Dependent Samples
This video shows real life examples of confidence intervals on dependent samples. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business Analysis".This section focuses on basic to...
Packt
R Programming for Statistics and Data Science - Comparing Two Means - Independent Samples
This video explains comparing two means - independent samples. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
Packt
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Independent Samples (Part 3)
This is the third 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
Risk Management 101 for IT Professionals Essential Concepts - Sample Risk Assessments
This video explains sample risk assessments. This clip is from the chapter "Risk Assessments" of the series "Risk Management 101 for IT Professionals: Essential Concepts".This section explains risk assessments.
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
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...
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.
Global Health with Greg Martin
T-test, ANOVA and Chi Squared test made easy.
Statistics doesn't need to be difficult. Using the t-test, ANOVA or Chi Squared test as part of your statistical analysis is straight forward. You do need to understanding the underlying principles of hypothesis testing and p-values of...
Packt
Fundamentals of Machine Learning - Model Selection
This video explains model selection and regularization. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and Bootstrap as well...
Packt
Statistics for Data Science and Business Analysis - Standard Deviation and Coefficient of Variation
This video explains standard deviation and coefficient of variation. This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This section describes the...
Packt
Predictive Analytics with TensorFlow 2.1: Using Statistics in Predictive Modeling
In this video, we will discuss some widely used statistical concepts required in predictive analytics, followed by some basic understanding of predictive modeling, such as random sampling, central limit theorem, hypothesis testing using...