Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Seaborn for Data Visualization: Introduction to Seaborn
In this video, we will cover an introduction to Seaborn. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Clustering Practice with Python
In this video, we will cover clustering practice with Python. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
Curated Video
Determining Normal Distribution Using the Empirical Rule
In this video, the teacher explains how to determine if a distribution is normally distributed by applying the empirical rule. The video covers the conditions that must be checked. Examples are provided to illustrate the application of...
Brian McLogan
Learn how to create a box and whisker plot for a set of data
👉 Learn how to find the mean, the median, and the mode of a set of data. The (arithmetic) mean of a set of data is the average of the set of data and is obtained by adding up the numbers in the set of data and dividing it by the count of...
Curated Video
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...
Curated Video
Solving Quadratic Equations using the Quadratic Formula
In this video, the teacher explains how to solve quadratic equations using the quadratic formula. They highlight common mistakes to avoid, such as squaring negative numbers and correctly identifying the coefficients.
Brian McLogan
How to find the variance and standard deviation from a set of 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...
Flipping Physics
Calculating the Uncertainty of the Coefficient of Friction
10 trials to calculate the coefficient of static friction and how to calculate the uncertainty of this measurement.
Curated Video
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...
Brian McLogan
Learning how to find the variance and standard deviation from a set of 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...
Catalyst University
Independent t-Test and F-Test: Theory and Excel Calculation
Independent t-Test and F-Test: Theory and Excel Calculation
APMonitor
Python Basic Statistical Analysis
Python statistical functions such as average, maximum, minimum, standard deviation, and custom counting are demonstrated in an iPython notebook.
Curated Video
Mean Absolute Deviation vs Standard Deviation
In this video, the teacher explains the difference between mean absolute deviation (MAD) and standard deviation, which are both measures of spread in a set of data. The teacher demonstrates how to calculate both MAD and standard...
Curated Video
Statistics for Data Science and Business Analysis - The Standard Normal Distribution
This video explains the standard normal distribution by deriving it from the normal distribution through the method of standardization. You will also be elaborated on its use for testing. This clip is from the chapter "Inferential...
Let's Tute
Data Profiling with COUNT & SUMPRODUCT in Excel
In this Microsoft Excel tutorial, we will learn about data profiling with count and sumproduct functions. Data profiling is a process of reviewing data to check if it is inserted correctly and can be used for other purposes. This...
Curated Video
Understanding Z-Scores
In this video, the teacher explains the concept of z-scores and how they can be used to compare data values from different distributions. The teacher uses examples of SAT and ACT scores to demonstrate how z-scores can provide a...
Curated Video
Statistics for Data Science and Business Analysis - The Normal Distribution
This video introduces the normal distribution and its great importance to statistics as a field. This clip is from the chapter "Inferential Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This...
Curated Video
Understanding and Interpreting the Margin of Error
In this video, the teacher explains how researchers use the margin of error to interpret data. They discuss the properties of the normal distribution and provide formulas to calculate the margin of error for different scenarios.
Curated Video
Analyzing Data and Drawing Inferences
In this video, students learn how to draw inferences by analyzing data. They are presented with statistics from a recent 5K race between the track team and the cross country team, and are guided through the process of interpreting the...
Curated Video
Analyzing Data: Comparing Sets with Outliers
In this video, the teacher explains how to compare two sets of data when there is an outlier. They discuss the use of measures of center and measures of spread, such as median and interquartile range, to analyze the data.
msvgo
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.
Brian McLogan
Learn how to find the probability given a histogram using 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...
Curated Video
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...
Flipping Physics
Introduction to Accuracy and Precision (includes Relative Error)
This video includes the definitions of Accuracy and Precision. It also shows several examples using a "Safe Dart" bow and arrow. It ends with the equation for Relative Error.