1

Step 1

Getting Started

2

Step 2

Orginizing Data

3

Step 3

Averages and Variation

4

Step 4

Elementary Probability Theory

5

Step 5

The Binomial Probability Distribution and Related Topics

6

Step 6

Normal Curves and Sampling Distributions

7

Step 7

Estimation

8

Step 8

Hypothesis Testing

9

Step 9

Correlation and Regression

10

Step 10

Chi-Square and F Distributions

11

Step 11

Nonparametric Statistics

1

Step 1

Getting Started

2

Step 2

Orginizing Data

3

Step 3

Averages and Variation

4

Step 4

Elementary Probability Theory

5

Step 5

The Binomial Probability Distribution and Related Topics

6

Step 6

Normal Curves and Sampling Distributions

7

Step 7

Estimation

8

Step 8

Hypothesis Testing

9

Step 9

Correlation and Regression

10

Step 10

Chi-Square and F Distributions

11

Step 11

Nonparametric Statistics

08 July 2020

Goal abandoned

The author does not write in the goal 2 years 6 months 11 days

Goal author

Anton

Belarus, Минск

29 years old

Education

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.

 Goal Accomplishment Criteria

Прочтенная книга, проработанные теоретические и практические задачи

 Personal resources

Время

  1. Getting Started

    1. What Is Statistics?

    2. Random Samples

    3. Introduction to Experimental Design

    4. Practical tasks

  2. Orginizing Data

    1. Frequency Distributions, Histograms, and Related Topics

    2. Bar Graphs, Circle Graphs, and Time-Series Graphs

    3. Stem-and-Leaf Displays

    4. Practical tasks

  3. Averages and Variation

    1. Measures of Central Tendency: Mode, Median, and Mean

    2. Measures of Variation

    3. Percentiles and Box-and-Whisker Plots

    4. Practical tasks

  4. Elementary Probability Theory

    1. What is Probability?

    2. Some Probability Rules - Compound Events

    3. Trees and Counting Techniques

    4. Practical tasks

  5. The Binomial Probability Distribution and Related Topics

    1. Introduction to Random Variables and Probability Distributions

    2. Binomial Probabilities

    3. Additional Properties of the Binomial Distribution

    4. The Geometric and Poisson Probability Distributions

    5. Practical tasks

  6. Normal Curves and Sampling Distributions

    1. Graphs of Normal Probability Distributions

    2. Standard Units and Areas Under the Standard Normal Distribution

    3. Areas Under Any Normal Curve

    4. Sampling Distributions

    5. The Central Limit Theorem

    6. Normal Approximation to Binomial Distribution and to p Distribution

    7. Practical tasks

  7. Estimation

    1. Estimating m When q is Known

    2. Estimating m Qhen q Is Unknown

    3. Estimating p in the Binomial Distribution

    4. Estimating m1 - m2 and p1 - p2

    5. Practical tasks

  8. Hypothesis Testing

    1. Introduction to Statistical Tests

    2. Testing the Mean m

    3. Testing a Proportion p

    4. Tests Involving Paired Differences (Dependent Samples)

    5. Testing m1 - m2 and p1 - p2 (Independent Samples)

    6. Practical tasks

  9. Correlation and Regression

    1. Scatter Diagrams and Linear Correlation

    2. Linear Regression and the Coefficient of Determination

    3. Inferences for Correlation and Regression

    4. Multiple Regression

    5. Practical tasks

  10. Chi-Square and F Distributions

    1. Chi-Square: Tests of Independence and of Homogeneity

    2. Chi-Square: Goodness of Fit

    3. Testing and Estimating a Single Variance or Standard Deviation

    4. Testing Two Variances

    5. One-Way ANOVA: Comparing Several Sample Means

    6. Introduction to Two-Way ANOVA

    7. Practical tasks

  11. Nonparametric Statistics

    1. The Sign Test for Matched Pairs

    2. The Rank-Sum Test

    3. Spearman Rank Correlation

    4. Runs Test for Randomness

  • 407
  • 08 July 2020, 10:15
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