Statistics-related lists | Comparisons of mathematical software

Comparison of statistical packages

The following tables compare general and technical information for a number of statistical analysis packages. (Wikipedia).

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More Standard Deviation and Variance

Further explanations and examples of standard deviation and variance

From playlist Unit 1: Descriptive Statistics

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Comparing Distributions

comparing/contrasting two different distributions via shape, center, spread, and outliers

From playlist Unit 1: Descriptive Statistics

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Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

From playlist Statistics (Full Length Videos)

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Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

From playlist Statistics (Full Length Videos)

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Mean, Mode, Median and Range of Listed Data

"Mean, mode, median, range from listed data."

From playlist Data Handling: Averages & Range

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Statistics Lecture 5.2 Part 1

Statistics Lecture 5.2 Part 1: Probability Distributions, Mean, and Standard Deviation

From playlist Statistics Playlist 1

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Topology for Time Series

This talk will introduce participants to topological algorithms to compare time series data. Participants will come away with an understanding of the persistent homology algorithm, an understanding of the caveats of analyzing/comparing time series data, and an understanding of how to imple

From playlist Advanced Machine Learning

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Mean, Median, and Mode

This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/

From playlist Statistics: Describing Data

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Statistics Lecture 5.2 Part 2

Statistics Lecture 5.2 Part 2: Probability Distributions, Mean, and Standard Deviation

From playlist Statistics Playlist 1

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R vs Python | Best Programming Language for Data Science and Analysis | Edureka

** Python Online Training: https://www.edureka.co/python-programming-certification-training ** ** R Online Training: https://www.edureka.co/r-for-analytics ** This Edureka video on R vs Python provides you with a short and crisp description of the top two languages used in Data Science and

From playlist Data Science Training Videos

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R - Grammar Analysis with Logistic Regression

Lecturer: Dr. Erin M. Buchanan Harrisburg University of Science and Technology In this video, I cover a lecture from my Human Language. I go over the idea of exploring larger language models by doing an analysis to predict word choice in causative constructions. To create our models, we u

From playlist Advanced Statistics Videos

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Python vs R vs SAS | R, Python And SAS Comparison | What I Should Learn In 2021? | Simplilearn

🔥Explore Our Free Courses: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=Python&utm_medium=DescriptionFirstFold&utm_source=youtube This video on Python vs R vs SAS will help you understand the fundamental difference between the three most popularly used programming l

From playlist R Programming For Beginners [2022 Updated]

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R - Regression (9.3 Flip)

Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers the basics of linear regression including assumptions, hypothesis testing, how to understand overall models and coefficients, how to examine for outliers, and how to run categorical va

From playlist Graduate Statistics Flipped

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R - ANOVA (12.3 Flip)

Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom The last section of our course covers the beginnings of ANOVAs. You will learn about the analysis of variance, the logic of the hypothesis test, the F-test, summary tables, and how to calculate in R. We

From playlist Graduate Statistics Flipped

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R & Python - Logistic Regression

Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my human language modeling class - this video set covers the updated version with both R and Python. Next in our series is logistic regression - treated more as a statistical techni

From playlist Human Language (ANLY 540)

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Python for Data Analysis: ANOVA

This video covers the basics of how to perform ANOVA tests in Python. Subscribe: â–º https://www.youtube.com/c/DataDaft?sub_confirmation=1 This is lesson 26 of a 30-part introduction to the Python programming language for data analysis and predictive modeling. Link to the code notebook bel

From playlist Python for Data Analysis

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R - One Way Repeated Measures ANOVA Lecture 2

Recorded: Fall 2015 Lecturer: Dr. Erin M. Buchanan Lecture 1 video covers the theory behind repeated measures ANOVA, sum of squares, sphericity, Mauchly's test, and other related information. Lecture 2 covers how to analyze these designs in R with the ezANOVA function, post hoc tests usin

From playlist Learn R + Statistics

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Intro to Sample Proportions

An overview and introduction to understanding sampling distributions of proportions [sample proportions] and how to calculate them

From playlist Unit 7 Probability C: Sampling Distributions & Simulation

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R - Basic Statistics (3.1 Flip)

Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers an introduction to basic statistical concepts such as frequency distributions, measures of central tendency, skew, kurtosis, variance, standard deviation, and z-scores. These videos a

From playlist Graduate Statistics Flipped

Related pages

Logistic regression | SPSS | Epi Info | Orange (software) | Poisson regression | NumPy | NLOGIT | World Programming System | MATLAB | SciPy | General linear model | Regression analysis | GAUSS (software) | Bar chart | Box plot | ADaMSoft | JMP (statistical software) | SHAZAM (software) | Stata | Mixed model | Lua (programming language) | Comparison of deep learning software | Probit model | Line chart | ROOT | Violin plot | Dataplot | Quantile regression | StatCrunch | EViews | ELKI | Weighted least squares | Gretl | Julia (programming language) | Statsmodels | Maple (software) | LIMDEP | Salstat | Histogram | Ordinary least squares | Correlogram | R (programming language) | OpenEpi | Comparison of numerical-analysis software | Stepwise regression | Vector autoregression | Comparison of Gaussian process software | PSPP | RKWard | SageMath | Unit root test | R Commander | Journal of Applied Econometrics | JASP | TSP (econometrics software) | Origin (data analysis software) | OxMetrics | SOFA Statistics | SAS (software)