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Проработать книгу "Understandable statistics. Concepts and methods."
Возникла необходимость в изучении нескольких разделов математики что бы иметь возможность развиваться профессионально в направлении Data Science & Machine Learning. Статистика - один из этих разделов, а книга "Understandable statistic. Concepts and methods. 12E" - один из достойных источников знаний по данному разделу, наполненный ясным изложением теории и красочными примерами ее применения к реальной жизни.
Criterio del fin
Прочтенная книга, проработанные теоретические и практические задачи
Recursos personales
Время
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Getting Started
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What Is Statistics?
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Random Samples
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Introduction to Experimental Design
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Practical tasks
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Orginizing Data
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Frequency Distributions, Histograms, and Related Topics
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Bar Graphs, Circle Graphs, and Time-Series Graphs
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Stem-and-Leaf Displays
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Practical tasks
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Averages and Variation
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Measures of Central Tendency: Mode, Median, and Mean
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Measures of Variation
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Percentiles and Box-and-Whisker Plots
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Practical tasks
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Elementary Probability Theory
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What is Probability?
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Some Probability Rules - Compound Events
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Trees and Counting Techniques
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Practical tasks
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The Binomial Probability Distribution and Related Topics
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Introduction to Random Variables and Probability Distributions
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Binomial Probabilities
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Additional Properties of the Binomial Distribution
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The Geometric and Poisson Probability Distributions
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Practical tasks
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Normal Curves and Sampling Distributions
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Graphs of Normal Probability Distributions
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Standard Units and Areas Under the Standard Normal Distribution
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Areas Under Any Normal Curve
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Sampling Distributions
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The Central Limit Theorem
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Normal Approximation to Binomial Distribution and to p Distribution
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Practical tasks
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Estimation
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Estimating m When q is Known
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Estimating m Qhen q Is Unknown
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Estimating p in the Binomial Distribution
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Estimating m1 - m2 and p1 - p2
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Practical tasks
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Hypothesis Testing
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Introduction to Statistical Tests
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Testing the Mean m
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Testing a Proportion p
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Tests Involving Paired Differences (Dependent Samples)
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Testing m1 - m2 and p1 - p2 (Independent Samples)
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Practical tasks
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Correlation and Regression
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Scatter Diagrams and Linear Correlation
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Linear Regression and the Coefficient of Determination
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Inferences for Correlation and Regression
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Multiple Regression
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Practical tasks
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Chi-Square and F Distributions
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Chi-Square: Tests of Independence and of Homogeneity
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Chi-Square: Goodness of Fit
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Testing and Estimating a Single Variance or Standard Deviation
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Testing Two Variances
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One-Way ANOVA: Comparing Several Sample Means
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Introduction to Two-Way ANOVA
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Practical tasks
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Nonparametric Statistics
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The Sign Test for Matched Pairs
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The Rank-Sum Test
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Spearman Rank Correlation
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Runs Test for Randomness
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