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【文档书籍】 Tamhane A., Dunlop D. Statistics and data analysis 2000

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Tamhane A., Dunlop D. Statistics and data analysis 2000.pdf 84.7 MB

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【影视】 [DesireCourse.Net] Udemy - Practical statistics for data and business analysis

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9. Data types/7. Quizzes and examples about data types.mp4 188.1 MB
7. Comparison between inferential ans descriptive statistics/2. Simplified viewpoint about descriptive and inferential statistics.mp4 92.9 MB
7. Comparison between inferential ans descriptive statistics/5. Population and sample in inferential statistics.mp4 63.9 MB
5. What is after data analysis/4. What is after data analysis .mp4 60.7 MB
3. Startup point of programming in data analysis/4. Where is my start up point to learn programming .mp4 59.4 MB
3. Startup point of programming in data analysis/7. Review about our questions related to programming.vtt 51.9 MB
3. Startup point of programming in data analysis/7. Review about our questions related to programming.mp4 51.9 MB
7. Comparison between inferential ans descriptive statistics/3. Data before and after descriptive statistics.mp4 51.2 MB
10. Center of numerical data/9. Examples of mode.mp4 46.9 MB
10. Center of numerical data/7. Examples of mean.mp4 43.7 MB
1. Getting Started/2. Introduction and overview about data analysis.mp4 43.4 MB
9. Data types/6. Difference between numerical and categorical data.mp4 41.7 MB
8. FAQ about descriptive statistics/2. What will we learn in descriptive statistics .mp4 39.6 MB
4. Example about programming and big data/1. Important introduction about SQL example.mp4 39.4 MB
9. Data types/5. Data types ( continuous vs discrete ).mp4 35.7 MB
10. Center of numerical data/8. Examples of median.mp4 34.2 MB
4. Example about programming and big data/9. Variety in big data.mp4 31.8 MB
5. What is after data analysis/3. Difference between data analytics and data science.mp4 31.3 MB
1. Getting Started/7. Collection about important questions related to data science.mp4 31.1 MB
4. Example about programming and big data/4. Python with sample activity.mp4 30.1 MB

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【文档书籍】 IAAF - World Athletics Championships Statistics Handbooks - 2011-2019

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IAAF - World Athletics Championships Statistics Handbook - 2015 Beijing.pdf 74.3 MB
IAAF - World Athletics Championships Statistics Handbook - 2013 Moscow.pdf 34.3 MB
IAAF - World Athletics Championships Statistics Handbook - 2017 London.pdf 32.9 MB
IAAF - World Athletics Championships Statistics Handbook - 2011 Daegu.pdf 14.4 MB
IAAF - World Athletics Championships Statistics Handbook - 2019 Doha.pdf 10.3 MB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - A Comprehensive Guide to Bayesian Statistics.zip

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[ DevCourseWeb.com ] Udemy - A Comprehensive Guide to Bayesian Statistics.zip 830.5 MB

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【压缩文件】 Probability and Statistics for Beginners

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Probability and Statistics for Beginners.zip 4.3 GB
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【压缩文件】 [ DevCourseWeb.com ] Udemy - Mathematics & Statistics for Machine Learning.zip

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[ DevCourseWeb.com ] Udemy - Mathematics & Statistics for Machine Learning.zip 451.0 MB

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【影视】 [FreeCourseLab.com] Udemy - Statistics for Data Science and Business Analysis

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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 118.2 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.mp4 62.1 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB

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【压缩文件】 [ FreeCourseWeb.com ] Advanced Statistics for the Behavioral Sciences- A Computational Approach with R (True EPUB).zip

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[ FreeCourseWeb.com ] Advanced Statistics for the Behavioral Sciences- A Computational Approach with R (True EPUB).zip 113.4 MB

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【安装包】 IBM SPSS Statistics 20 - x86

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IBM SPSS Statistics 20 - x86-setup.exe 118.8 MB
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【安装包】 IBM SPSS Statistics 26.0 IF006 + Crack [TheWindowsForum]

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IBM SPSS Statistics 26.0 IF006.exe 220.8 MB
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【压缩文件】 [ DevCourseWeb.com ] Coursera - Statistics with Python.zip

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[ DevCourseWeb.com ] Coursera - Statistics with Python.zip 2.3 GB

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【影视】 A beginners guide to Statistics

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11. Cumulative frequency - more than type - Ogive.mp4 114.9 MB
10. Cumulative frequency - less than type - Ogive.mp4 101.5 MB
07. Mean of grouped data.mp4 62.1 MB
02. Data handling - Tally marks.mp4 45.2 MB
03. Measure of central tendency.mp4 44.1 MB
05. Mean of grouped data - Assumed mean data - problem solving.mp4 25.5 MB
06. Mean of grouped data - step deviation method - problem solving.mp4 23.1 MB
08. Median of grouped data - problem solving.mp4 22.4 MB
04. Mean of grouped data - Direct method - prolem solving.mp4 20.6 MB
09. Mode of Grouped data - Problem solving.mp4 17.5 MB
01. Introduction.mp4 16.6 MB
11.1 12-Statistics.pdf.pdf 462.7 kB
10.1 10 - Statistics - Summary.pdf.pdf 406.2 kB
10.2 10 - Statistics - Summary.pdf.pdf 406.2 kB
10.1 11 - Statistics Solved Questions.pdf.pdf 342.3 kB
10.2 11 - Statistics Solved Questions.pdf.pdf 342.3 kB
07. Mean of grouped data.vtt 11.6 kB
11. Cumulative frequency - more than type - Ogive.vtt 9.4 kB
03. Measure of central tendency.vtt 9.2 kB
10. Cumulative frequency - less than type - Ogive.vtt 8.2 kB

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【压缩文件】 [ FreeCourseWeb.com ] Data Statistics with Full Stack Python.zip

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[ FreeCourseWeb.com ] Data Statistics with Full Stack Python.zip 3.0 GB

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【安装包】 IBM SPSS Statistics 25.0 (x64) Multilingual + Crack [SadeemPC]

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IBM SPSS Statistics 25.0 (x64) Multilingual + Crack [SadeemPC]/SPSS_Statistics_25.exe 743.1 MB
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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Statistics for Data Science using Python.zip

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[ FreeCourseWeb.com ] Udemy - Statistics for Data Science using Python.zip 2.2 GB

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【文档书籍】 Introduction to Probability and Statistics 15th Edition

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Introduction to Probability and Statistics 15th Edition.pdf 244.0 MB
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【压缩文件】 Complete guide to Statistics & Probability

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Complete guide to Statistics & Probability.zip 3.6 GB
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【影视】 [FreeCourseSite.com] Udemy - Statistics for Data Science and Business Analysis

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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.5 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 65.9 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB

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【文档书籍】 Sharpe N., De Veaux R., Velleman P. Business Statistics 3ed 2014

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Sharpe N., De Veaux R., Velleman P. Business Statistics 3ed 2014.pdf 112.1 MB
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【影视】 [Tutorialsplanet.NET] Udemy - Probability for Statistics and Data Science

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4. Distributions/29. Practical Example Distributions.mp4 165.1 MB
3. Bayesian Inference/22. Practical Example Bayesian Inference.mp4 152.0 MB
2. Combinatorics/20. Practical Example Combinatorics.mp4 140.9 MB
5. Tie-ins to Other Fields/1. Tie-ins to Finance.mp4 103.6 MB
4. Distributions/3. What are the two main types of distributions based on the type of data we have.mp4 96.1 MB
1. Introduction to Probability/2. What is the probability formula.mp4 90.0 MB
4. Distributions/15. What is a Continuous Distribution.mp4 88.2 MB
5. Tie-ins to Other Fields/2. Tie-ins to Statistics.mp4 80.9 MB
1. Introduction to Probability/4. How to compute expected values.mp4 79.4 MB
4. Distributions/1. What is a probability distribution.mp4 76.9 MB
4. Distributions/11. What is the Binomial Distribution.mp4 72.2 MB
5. Tie-ins to Other Fields/3. Tie-ins to Data Science.mp4 66.5 MB
1. Introduction to Probability/6. What is a probability frequency distribution.mp4 64.6 MB
1. Introduction to Probability/8. What is a complement.mp4 62.0 MB
2. Combinatorics/11. What are combinations and how are they similar to variations.mp4 60.1 MB
3. Bayesian Inference/7. What is the union of sets A and B.mp4 60.0 MB
4. Distributions/13. What is the Poisson Distribution.mp4 58.5 MB
1. Introduction to Probability/1. What does the course cover.mp4 55.2 MB
3. Bayesian Inference/20. When do we use Bayes' Theorem in Real Life.mp4 52.4 MB
4. Distributions/27. What is the Logistic Distribution.mp4 52.4 MB

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