Sinkov statistics, also known as log-weight statistics, is a specialized field of statistics that was developed by Abraham Sinkov, while working for the small Signal Intelligence Service organization, the primary mission of which was to compile codes and ciphers for use by the U.S. Army. The mathematics involved include modular arithmetic, a bit of number theory, some linear algebra of two dimensions with matrices, some combinatorics, and a little statistics. Sinkov did not explain the theoretical underpinnings of his statistics, or characterized its distribution, nor did he give a decision procedure for accepting or rejecting candidate plaintexts on the basis of their S1 scores. The situation becomes more difficult when comparing strings of different lengths because Sinkov does not explain how the distribution of his statistics changes with length, especially when applied to higher-order grams. As for how to accept or reject a candidate plaintext, Sinkov simply said to try all possibilities and to pick the one with the highest S1 value. Although the procedure works for some applications, it is inadequate for applications that require on-line decisions. Furthermore, it is desirable to have a meaningful interpretation of the S1 values. (Wikipedia).
Statistics - How to use Chebyshev's Theorem
In this video I cover at little bit of what Chebyshev's theorem says, and how to use it. Remember that Chebyshev's theorem can be used with any distribution, and that it gives a lower proportion of what we can expect in the actual data. ▬▬ Chapters ▬▬▬▬▬▬▬▬▬▬▬ 0:00 Start 0:04 What is C
From playlist Statistics
Checking normality using skewness, kurtosis, Kolmogorov–Smirnov and Shapiro-Wilk tests
In this video, I will explain how to use SPSS to evaluate check for normality using skewness, kurtosis, Kolmogorov–Smirnov and Shapiro-Wilk tests. Please also check the following video for further information: https://www.youtube.com/watch?v=Wql-YRAoX6I The criteria that I will explain
From playlist Descriptive Statistics SPSS
Statistic vs Parameter & Population vs Sample
This stats video tutorial explains the difference between a statistic and a parameter. It also discusses the difference between the population and sample. It includes examples such as the sample mean, population mean, sample standard deviation, population standard deviation, sample propo
From playlist Statistics
Alberto DE SOLE, Poisson vertex algebras and Hamiltonian partial differential equations
Après-midi en l'honneur de Victor KAC, lundi 13 mai 2013 Alberto DE SOLE (Université de Rome 1) "Poisson vertex algebras and Hamiltonian partial differential equations"
From playlist Après-midi en l'honneur de Victor KAC
Homological Algebra(Homo Alg) 5 by Graham Ellis
DATE & TIME 05 November 2016 to 14 November 2016 VENUE Ramanujan Lecture Hall, ICTS Bangalore Computational techniques are of great help in dealing with substantial, otherwise intractable examples, possibly leading to further structural insights and the detection of patterns in many abstra
From playlist Group Theory and Computational Methods
This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
Find x given the z-score, sample mean, and sample standard deviation
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Find x given the z-score, sample mean, and sample standard deviation
From playlist Statistics
Computing z-scores(standard scores) and comparing them
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Computing z-scores(standard scores) and comparing them
From playlist Statistics
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
(PP 6.1) Multivariate Gaussian - definition
Introduction to the multivariate Gaussian (or multivariate Normal) distribution.
From playlist Probability Theory
Speaking of Statistics – DEFINING the Field of Statistics (1-3)
The term “statistics” may refer to the practice, procedure, or products of statistics. The Practice of Statistics means the field of statistics: “The art and science of making sense of data”. The Procedures of Statistics reefer to mathematical techniques to organize, summarize, and interpr
From playlist From Numbers to Variables to Data in Statistics (WK 1 - QBA 237)
This lecturelet will introduce you to the series on statistical analyses of time-frequency data. For more online courses about programming, data analysis, linear algebra, and statistics, see http://sincxpress.com/
From playlist OLD ANTS #8) Statistics
The Vocabulary of Statistics – Terminology for Beginning Statistics (1-1)
Welcome to the study of statistics! We will begin with an introduction to some new terminology that we will be using in our adventure. I will introduce you to four goals of statistics (to collect, organize, analyze, and interpret data), three meanings of the word “statistics” (practice, pr
From playlist WK1 Numbers and Variables - Online Statistics for the Flipped Classroom
What Is Statistics: Crash Course Statistics #1
Welcome to Crash Course Statistics! In this series we're going to take a look at the important role statistics play in our everyday lives, because statistics are everywhere! Statistics help us better understand the world and make decisions from what you'll wear tomorrow to government polic
From playlist Back to School - Expanded
Why is Statistics REQUIRED? Your Very First Statistics Course (1-1)
A variable is any characteristic that can vary. An organized collection of numbers can be a variable. Qualitative variables indicate an attribute or belongingness to a category. Dichotomous variables are discrete variables that can have two and only two values. Quantitative variables indic
From playlist From Numbers to Variables to Data in Statistics (WK 1 - QBA 237)
Statistical questions | Data and statistics | 6th grade | Khan Academy
What makes a question a "statistical question"? Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/cc-6-statistical-questions/e/statistical-questions?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade
From playlist 7th Grade | Get Ready for Grade Level | Khan Academy
Statistics For Data Science | Data Science Tutorial | Simplilearn
🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=StatisticsForDataScience-Lv0xcdeXaGU&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/da
From playlist Data Science For Beginners | Data Science Tutorial🔥[2022 Updated]
In this video I will give you the resources you need to learn data science from zero knowledge. We will discuss several programming books and math books that are perfect for beginners who want to acquire the skills to become a data scientist. In particular we will look at books on R, Pytho
From playlist Book Reviews
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 deviation of a set of data is a measure of spread/variation
From playlist Variance and Standard Deviation