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Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Law of Large Numbers Famous Distributions Python
In this video, we will cover law of large numbers famous distributions Python.
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This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine...
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This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Law of Large Numbers
In this video, we will cover law of large numbers.
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br/>
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)...
<
br/>
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)...
Curated Video
Understanding Populations and Samples: Importance of Representative Samples and Large Sample Sizes
This video explains the concepts of populations and samples in statistical analysis. It defines population as the overall group of interest, and sample as a subset of the population used to infer information about it. The video...
Curated Video
Choosing the Right Sample Size: Reducing Variation in Statistics
In this video, the concept of sampling in statistics is explained using examples of a fitness club and a history exam. The importance of random sampling and avoiding biased samples is emphasized. The video also highlights the...
Curated Video
Statistics for Data Science and Business Analysis - Calculating and Understanding Covariance
This video continues with the most common measure of interconnection between variables: covariance.
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This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business...
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This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business...
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
Interpreting Marketing Data: Confidence Intervals, Correlations, and Extrapolation Explained
The video discusses different techniques for interpreting marketing data, including confidence intervals, correlations, and extrapolation. The speaker explains each technique in detail and provides examples to illustrate how they work in...
KnowMo
Introduction to Sampling: How to Select a Representative Sample
This video is a lecture about sampling, which is a method used to collect and analyze data about a population. The lecturer explains that it is often not feasible to collect data from every member of a population, so a sample is taken...
Curated Video
Introduction to Sampling in Marketing and Research
This video gives an introduction and overview of sampling from a marketing perspective. The speaker explains the different types of sampling techniques such as random sampling, quota sampling, and stratified sampling, and provides...
Curated Video
Statistics for Data Science and Business Analysis - Type I Error Versus Type II Error
In this video, you'll learn about Type I error versus Type II error.
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This clip is from the chapter "Hypothesis Testing" of the series "Statistics for Data Science and Business Analysis".This section explains null and...
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This clip is from the chapter "Hypothesis Testing" of the series "Statistics for Data Science and Business Analysis".This section explains null and...
Curated Video
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.
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This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science...
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This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science...
Curated Video
Reducing Margin of Error with Simulation and Sample Size
This video explains how to use simulation to decrease the size of a confidence interval, using the example of a cafeteria manager who wants to know how many parents of school children believe that school lunches are satisfactory. The...
Curated Video
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.
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This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science...
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This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science...
Curated Video
India's pace attack will be over reliant on Jasprit Bumrah during Border-Gavaskar Trophy in Australia
With the Border-Gavaskar Trophy on the line, all eyes are on Jasprit Bumrah. Will India's pace attack be too dependent on him, or can others rise to the challenge in Australia?
The Recount
After Russia’s Invasion, the Sports World Bites Back
Much of the sports world protested Russia's invasion of Ukraine almost from its start — and that includes Russia's own athletes. Tennis players Andrey Rublev and the sport’s newly-minted number one on the men’s side, Daniil Medvedev,...
Bloomberg
What Impeachment Talk Means for Markets
Sep.26 -- Andres Garcia-Amaya, Zoe Financial founder & chief executive officer, Peter Tchir, head of macro strategy at Academy Securities, and Rich Saperstein, HighTower Treasury Partners chief investment officer, discuss the market...
Bloomberg
First-Ever Stylists Roundtable: Image Makers to Mega-Stars Kristen Stewart, Alexander Skarsgard, Zendaya and More
Booth Moore hosts THR's first-ever stylists roundtable featuring Jason Bolden, Ilaria Urbinati, Tara Swennen, Jeanne Yang and Law Roach.
AFP News Agency
CLEAN : Connecticut aquarium welcomes beluga whales from Canada despite activist opposition
The aquarium in Mystic, Connecticut, has welcomed five new beluga whales from MarineLand in Canada after a 10 year battle with legislators and animal activists (Footage by AFPTV via Getty Images)
Curated Video
Connie Wang - features writer at Refinery29 - gives her style analysis of fashion on the Emmy carpet
FASHION HITS AND MISSES AT THE EMMY AWARDS
The stars turned out in their Hollywood best on the red carpet of the 69th prime-time Emmy ceremony in Los Angeles...
The stars turned out in their Hollywood best on the red carpet of the 69th prime-time Emmy ceremony in Los Angeles...
Flipped Math
Sampling Methods
Pupils watch a video to learn about different types of sample design and how to use technology to create a random sample. They discover different types of bias that may happen due to the sampling design or the questions. Learners use...
statisticsfun
How to Calculate Sample Size and Margin of Error
Explore the effect sample size has on margin of error and confidence interval. The instructor calculates the margin of error of fictional data. He shows how the calculation changes when the sample size changes while keeping the other...
statisticsfun
Derive the Sample Size Equation for Population Proportions
There are too many equations to memorize, but a helpful trick will make it easier. When you start with the confidence interval equation, the video walks through how to solve it and create the sample size equation.
statisticsfun
Deriving the Sample Size Equation
Where do all of these equations come from? A statistics video explains how to find the sample size equation based on the formula for the confidence interval.
statisticsfun
Why are Degrees of Freedom (n-1) Used in Variance and Standard Deviation
Don't be mean, be above average. A straightforward video explains why degrees of freedom are used and how to recognize the error based on your sample population.