central chi square distribution

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Common concepts of Statistics: t-Test, F-Test, chi-square test, p-value, degrees of freedom

Origin of 1,t test and F-Test In general, in order to determine the probability of making a mistake from the statistical results of samples (sample), we use statistical methods developed by statisticians to perform statistical verification. By

Common statistical concepts: t-test, F-test, Chi-square test, P-value, degree of freedom

1. Origins of t-test and F-test In general, to determine the probability of making mistakes from the statistical result of the sample to the overall result, we will use some statistical methods developed by the statistician for statistical

Data types and data distribution

1. Dissociation data and discrete distributionDissociation data is usually data that can only be represented by integers. For example, the number of people in a province, the number of planets in a unit volume in the universe, etc.1.1 The discrete

All the random number functions of MATLAB

All the random number functions of MATLAB(i) MATLAB internal functionsA. basic random numberThere are two basic functions for generating random numbers in MATLAB.1 . rand ()Generates a random variable that is evenly distributed over the (0,1)

An overview of exploratory data analysis EDA

Table of Contents 1. Steps and preparations for data exploration 2. Missing value handling Why do I need to deal with missing values Why is data has missing values? Techniques for missing value processing3. Outlier detection and

NumPy's Random module

Documents translated from the official website. Transfer from http://www.mamicode.com/info-detail-507676.htmlRandom Sampling (Numpy.random) Simple Random data Rand (D0, D1, ..., DN) Random values>>> Np.random.rand (3

"Tea for Women" and statistical examination

In 2008, during the modeling competition organized by the National Bureau of Statistics, the bookstore shelves of "Women's tea (The Lady tasting Tea) ――20 century statistics How to change the science" aroused our concern, "Women's Tea" title of the

Concept and Technology of Data Mining-Chapter 3 data preprocessing

I. data preprocessing 1. If data can meet the requirements of its applications, it is of high quality. Data quality involves many factors: accuracy, integrity, consistency, timeliness, credibility, and interpretability. 2. Main data pre-processing

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