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- 【安装包】 IBM.SPSS.Statistics.22-WIN-LiNUX-MAC Amos.22 Data.Collection.7-EQUiNOX
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IBM.SPSS.Amos.v22-EQUiNOX/Crack/eqx.zip 517 Bytes
IBM.SPSS.Amos.v22-EQUiNOX/equinox.nfo 6.7 kB
IBM.SPSS.Amos.v22-EQUiNOX/File_id.diz 829 Bytes
IBM.SPSS.Amos.v22-EQUiNOX/Instrucciones.txt 1.5 kB
IBM.SPSS.Amos.v22-EQUiNOX/SPSS_AMOS_22.0.exe 64.4 MB
IBM.SPSS.Amos.v22-EQUiNOX/www.intercambiosvirtuales.org.url 126 Bytes
IBM.SPSS.Data.Collection.v7.x64-EQUiNOX/Crack/eqx.zip 851 Bytes
IBM.SPSS.Data.Collection.v7.x64-EQUiNOX/equinox.nfo 6.6 kB
IBM.SPSS.Data.Collection.v7.x64-EQUiNOX/File_id.diz 843 Bytes
IBM.SPSS.Data.Collection.v7.x64-EQUiNOX/Instrucciones.txt 1.7 kB
IBM.SPSS.Data.Collection.v7.x64-EQUiNOX/SPSS_dc_x64.exe 367.9 MB
IBM.SPSS.Data.Collection.v7.x64-EQUiNOX/www.intercambiosvirtuales.org.url 126 Bytes
IBM.SPSS.Data.Collection.v7.x86-EQUiNOX/Crack/eqx.zip 851 Bytes
IBM.SPSS.Data.Collection.v7.x86-EQUiNOX/equinox.nfo 6.6 kB
IBM.SPSS.Data.Collection.v7.x86-EQUiNOX/File_id.diz 843 Bytes
IBM.SPSS.Data.Collection.v7.x86-EQUiNOX/Instrucciones.txt 1.7 kB
IBM.SPSS.Data.Collection.v7.x86-EQUiNOX/SPSS_dc_x86.exe 347.7 MB
IBM.SPSS.Data.Collection.v7.x86-EQUiNOX/www.intercambiosvirtuales.org.url 126 Bytes
IBM.SPSS.Statistics.v22.Linux-EQUiNOX/Crack/eqx.zip 565 Bytes
IBM.SPSS.Statistics.v22.Linux-EQUiNOX/equinox.nfo 6.8 kB
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- 【安装包】 IBM.SPSS.Statistics.22-WIN-LiNUX-MAC Amos.22 Data.Collection.7-EQUiNOX
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收录时间:2017-02-13
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IBM.SPSS.Statistics.v22.x64-EQUiNOX/SPSS_Statistics_22_win64.exe 812.1 MB
IBM.SPSS.Statistics.v22.Linux-EQUiNOX/SPSS_Statistics_22_Lx.bin 794.2 MB
IBM.SPSS.Statistics.v22.x86-EQUiNOX/SPSS_Statistics_22_win32.exe 783.2 MB
IBM.SPSS.Statistics.v22.MacOSX-EQUiNOX/SPSS_Statistics_22_Mac.dmg 638.7 MB
IBM.SPSS.Data.Collection.v7.x64-EQUiNOX/SPSS_dc_x64.exe 367.9 MB
IBM.SPSS.Data.Collection.v7.x86-EQUiNOX/SPSS_dc_x86.exe 347.7 MB
IBM.SPSS.Amos.v22-EQUiNOX/SPSS_AMOS_22.0.exe 64.4 MB
IBM.SPSS.Statistics.v22.MacOSX-EQUiNOX/equinox.nfo 6.8 kB
IBM.SPSS.Statistics.v22.x64-EQUiNOX/equinox.nfo 6.8 kB
IBM.SPSS.Statistics.v22.x86-EQUiNOX/equinox.nfo 6.8 kB
IBM.SPSS.Statistics.v22.Linux-EQUiNOX/equinox.nfo 6.8 kB
IBM.SPSS.Amos.v22-EQUiNOX/equinox.nfo 6.7 kB
IBM.SPSS.Data.Collection.v7.x86-EQUiNOX/equinox.nfo 6.6 kB
IBM.SPSS.Data.Collection.v7.x64-EQUiNOX/equinox.nfo 6.6 kB
IBM.SPSS.Data.Collection.v7.x64-EQUiNOX/Instrucciones.txt 1.7 kB
IBM.SPSS.Data.Collection.v7.x86-EQUiNOX/Instrucciones.txt 1.7 kB
IBM.SPSS.Statistics.v22.Linux-EQUiNOX/Instrucciones.txt 1.5 kB
IBM.SPSS.Statistics.v22.x86-EQUiNOX/Instrucciones.txt 1.5 kB
IBM.SPSS.Statistics.v22.x64-EQUiNOX/Instrucciones.txt 1.5 kB
IBM.SPSS.Statistics.v22.MacOSX-EQUiNOX/Instrucciones.txt 1.5 kB
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- 【影视】 Math Tutor DVD - Probability and Statistics
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14. The Normal Probability Density.avi 477.2 MB
01. Permutations.avi 415.5 MB
11. The Binomial Distribution.avi 398.7 MB
03. Fundamentals of Probability.avi 350.6 MB
06. Bayes' Theorem.avi 329.7 MB
04. Addition Rules of Probability.avi 311.9 MB
13. The Poisson Distribution.avi 258.5 MB
10. Random Variables and Intro to Probability Distributions.avi 228.1 MB
02. Combinations.avi 218.7 MB
05. Conditional Probability.avi 210.3 MB
09. Standard Deviation and Variance.avi 178.9 MB
12. Mean and Standard Deviation of Binomial Distribution.avi 171.6 MB
08. Mean, Median, and Mode.avi 109.9 MB
07. Mathematical Expectation.avi 85.8 MB
Probability and Statistics (Detailed Description).mht 325.5 kB
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- 【影视】 Math Tutor DVD - The Probability And Statistics
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01. Permutations.avi 415.5 MB
02. Combinations.avi 218.7 MB
03. Fundamentals of Probability.avi 350.6 MB
04. Addition Rules of Probability.avi 311.9 MB
05. Conditional Probability.avi 210.3 MB
06. Bayes' Theorem.avi 329.7 MB
07. Mathematical Expectation.avi 85.8 MB
08. Mean, Median, and Mode.avi 109.9 MB
09. Standard Deviation and Variance.avi 178.9 MB
10. Random Variables and Intro to Probability Distributions.avi 228.1 MB
11. The Binomial Distribution.avi 398.7 MB
12. Mean and Standard Deviation of Binomial Distribution.avi 171.6 MB
13. The Poisson Distribution.avi 258.5 MB
14. The Normal Probability Density.avi 477.2 MB
Torrent_downloaded_from_Demonoid.com.txt 47 Bytes
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- 【压缩文件】 Complete guide to Statistics & Probability
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收录时间:2021-03-17
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Complete guide to Statistics & Probability.zip 3.6 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Introduction to Probability and Statistics.zip
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[ FreeCourseWeb.com ] Udemy - Introduction to Probability and Statistics.zip 3.5 GB
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- 【其他】 IBM SPSS Statistics
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收录时间:2018-04-14
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Pliki_instalacyjne/Windows/SPSSStatistics/win64/Bas.cab 380.3 MB
Pliki_instalacyjne/Windows/SPSSStatistics/win32/Bas.cab 369.9 MB
Pliki_instalacyjne/PS_IMAGO.exe 363.6 MB
Pliki_instalacyjne/Windows/StatisticsFixPacks/win64/SPSS_Statistics_22001_win64_Patch.msi 271.8 MB
Pliki_instalacyjne/Windows/StatisticsFixPacks/win32/SPSS_Statistics_22001_win32_Patch.msi 265.9 MB
Pliki_instalacyjne/NetworkLicenseServer/PS_IMAGO_Lic_Srv.exe 235.8 MB
Pliki_instalacyjne/NetworkLicenseServer/SPSS/spss_clt_9.5.0.1-licmgr_win_en.exe 105.0 MB
Pliki_instalacyjne/NetworkLicenseServer/SPSS/spss_clt_9.5.0.1-limgr_64b_sol_en.tar.gz 102.5 MB
Pliki_instalacyjne/NetworkLicenseServer/SPSS/spss_clt_9.5.0.1-limgr_64b_aix_en.tar.gz 92.9 MB
Pliki_instalacyjne/NetworkLicenseServer/SPSS/spss_clt_9.5.0.1-licmgr_64b_lx_en.tar.gz 84.8 MB
Pliki_instalacyjne/Windows/SPSSStatistics/win64/JRE.cab 79.0 MB
Pliki_instalacyjne/Windows/SPSSStatistics/win32/JRE.cab 69.2 MB
Pliki_instalacyjne/Windows/SPSSStatistics/win32/Help_es.cab 27.7 MB
Pliki_instalacyjne/Windows/SPSSStatistics/win64/Help_es.cab 27.7 MB
Pliki_instalacyjne/Windows/SPSSStatistics/win64/Help_ja.cab 26.5 MB
Pliki_instalacyjne/Windows/SPSSStatistics/win32/Help_ja.cab 26.5 MB
Pliki_instalacyjne/Windows/SPSSStatistics/win32/Help_de.cab 25.9 MB
Pliki_instalacyjne/Windows/SPSSStatistics/win64/Help_de.cab 25.9 MB
Pliki_instalacyjne/Windows/SPSSStatistics/win64/Help_fr.cab 25.9 MB
Pliki_instalacyjne/Windows/SPSSStatistics/win32/Help_fr.cab 25.9 MB
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- 【影视】 [ FreeCourseWeb.com ] Udemy - Bayesian Statistics - A Step-by-step Introduction
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~Get Your Files Here !/6. Normal - Normal/6. Example Normal-Normal Problem with R and Stan.mp4 132.2 MB
~Get Your Files Here !/4. Beta-Binomial Family/5. Posterior Distribution What are Conjugate Priors.mp4 124.1 MB
~Get Your Files Here !/5. Poisson - Gamma/2. Gamma Distribution and Choosing Hyperparameters.mp4 117.8 MB
~Get Your Files Here !/5. Poisson - Gamma/8. Example Poisson-Gamma Problem with R and Stan.mp4 113.3 MB
~Get Your Files Here !/4. Beta-Binomial Family/11. Example Beta-Binomial Problem with R.mp4 110.9 MB
~Get Your Files Here !/4. Beta-Binomial Family/1. Binomial Random Variables.mp4 106.3 MB
~Get Your Files Here !/3. Continuous Priors and the Uniform Distribution/6. CDFs and Inverse CDFs.mp4 96.1 MB
~Get Your Files Here !/4. Beta-Binomial Family/12. Example Beta-Binomial Problem with Stan.mp4 94.9 MB
~Get Your Files Here !/4. Beta-Binomial Family/2. Prior The Beta Distribution.mp4 91.1 MB
~Get Your Files Here !/6. Normal - Normal/2. Prior Normal Distribution and choosing hyperparameters.mp4 88.0 MB
~Get Your Files Here !/7. More advanced models/3. Example Simple Linear Regression Problem with R and Stan.mp4 87.2 MB
~Get Your Files Here !/7. More advanced models/2. Simple Linear Regression.mp4 86.0 MB
~Get Your Files Here !/3. Continuous Priors and the Uniform Distribution/9. Point Estimates.mp4 84.2 MB
~Get Your Files Here !/5. Poisson - Gamma/1. Likelihood Poisson Distribution.mp4 79.8 MB
~Get Your Files Here !/6. Normal - Normal/3. Posterior Distribution and Example.mp4 76.2 MB
~Get Your Files Here !/3. Continuous Priors and the Uniform Distribution/2. Likelihood and Random Variables.mp4 75.1 MB
~Get Your Files Here !/7. More advanced models/1. Predictive distributions, unknown variance.mp4 72.9 MB
~Get Your Files Here !/3. Continuous Priors and the Uniform Distribution/7. Credible Intervals.mp4 71.7 MB
~Get Your Files Here !/6. Normal - Normal/1. Normal Distribution.mp4 70.9 MB
~Get Your Files Here !/3. Continuous Priors and the Uniform Distribution/1. Continuous Priors and the Uniform Distribution.mp4 70.6 MB
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- 【压缩文件】 Cumming G. Introduction to the New Statistics...2ed 2024
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Books_Stat.zip 3.0 GB
Cumming G. Introduction to the New Statistics...2ed 2024.pdf 124.7 MB
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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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- 【压缩文件】 IBM SPSS Statistics 23 [Full+Crack] x86x64
-
收录时间:2017-03-31
文档个数:109
文档大小:3.1 GB
最近下载:2024-11-10
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SPSS23x86_www.mawtoload.com/SPSS23x86_MWTSoft/Setup/VirtID.cab 105 Bytes
SPSS23x64_www.mawtoload.com/SPSS23x64_MWTSoft/Setup/VirtID.cab 105 Bytes
SPSS23x64_www.mawtoload.com/SPSS23x64_MWTSoft/Setup/NetID.cab 106 Bytes
SPSS23x86_www.mawtoload.com/SPSS23x86_MWTSoft/Setup/NetID.cab 106 Bytes
SPSS23x86_www.mawtoload.com/SPSS23x86_MWTSoft/Setup/CustID.cab 107 Bytes
SPSS23x64_www.mawtoload.com/SPSS23x64_MWTSoft/Setup/CustID.cab 107 Bytes
SPSS23x86_www.mawtoload.com/SPSS23x86_MWTSoft/ดาวน์โหลดโปรแกรมฟรี โปรแกรมตัวเต็มถาวรมากมาย MawtoLoad.url 124 Bytes
SPSS23x64_www.mawtoload.com/SPSS23x64_MWTSoft/ดาวน์โหลดโปรแกรมฟรี โปรแกรมตัวเต็มถาวรมากมาย MawtoLoad.url 124 Bytes
SPSS23x64_www.mawtoload.com/SPSS23x64_MWTSoft/แมวโตะซอฟต์แวร์ FaceBook.url 134 Bytes
SPSS23x86_www.mawtoload.com/SPSS23x86_MWTSoft/แมวโตะซอฟต์แวร์ FaceBook.url 134 Bytes
SPSS23x64_www.mawtoload.com/SPSS23x64_MWTSoft/EQX/lservrc 145 Bytes
SPSS23x86_www.mawtoload.com/SPSS23x86_MWTSoft/EQX/lservrc 145 Bytes
SPSS23x64_www.mawtoload.com/SPSS23x64_MWTSoft/readme.txt 341 Bytes
SPSS23x86_www.mawtoload.com/SPSS23x86_MWTSoft/readme.txt 341 Bytes
Read me.txt 782 Bytes
SPSS23x86_www.mawtoload.com/SPSS23x86_MWTSoft/Setup/IBM SPSS Statistics 23.sms 1.8 kB
SPSS23x64_www.mawtoload.com/SPSS23x64_MWTSoft/Setup/IBM SPSS Statistics 23.sms 1.8 kB
SPSS23x86_www.mawtoload.com/SPSS23x86_MWTSoft/Setup/Setup.ini 5.8 kB
SPSS23x64_www.mawtoload.com/SPSS23x64_MWTSoft/Setup/Setup.ini 5.8 kB
SPSS23x64_www.mawtoload.com/SPSS23x64_MWTSoft/Setup/0x0404.ini 10.7 kB
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1-Linear Regression/26-Stata - Applied Examples.mp4 302.8 MB
2-Non-Linear Regression/49-Stata - Applied Logit and Probit Examples.mp4 271.2 MB
3-Regression Modelling/63-Dealing with Missing Data in Regression - Practical Examples.mp4 238.7 MB
3-Regression Modelling/57-Using Time in Regression - Practical Examples.mp4 169.5 MB
3-Regression Modelling/55-How to use and Interpret Interaction Effects - Practical Examples.mp4 167.4 MB
3-Regression Modelling/59-Categorical Explanatory Variables in Regression - Practical Examples.mp4 159.5 MB
3-Regression Modelling/53-Non-Linear Shapes in Regression - Practical Examples.mp4 156.7 MB
3-Regression Modelling/61-Dealing with Multicollinearity in Regression - Practical Examples.mp4 127.8 MB
3-Regression Modelling/51-Regression Modelling - Don't Rush it.mp4 114.1 MB
3-Regression Modelling/62-Dealing with Missing Data in Regression.mp4 108.3 MB
3-Regression Modelling/58-Categorical Explanatory Variables in Regression.mp4 101.9 MB
3-Regression Modelling/56-Using Time in Regression.mp4 101.8 MB
3-Regression Modelling/52-Non-Linear Shapes in Regression.mp4 81.0 MB
2-Non-Linear Regression/44-Multiple Non-Linear Regression.mp4 70.3 MB
1-Linear Regression/12-Lines of Best Fit.mp4 68.7 MB
3-Regression Modelling/60-Dealing with Multicollinearity in Regression.mp4 66.3 MB
3-Regression Modelling/54-How to use and Interpret Interaction Effects.mp4 64.0 MB
1-Linear Regression/16-Ordinary Least Squares (OLS) Visual – Part 2.mp4 62.9 MB
3-Regression Modelling/50-Introduction.mp4 40.1 MB
2-Non-Linear Regression/45-Goodness-of-Fit.mp4 36.3 MB
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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.srt 58.6 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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文档个数:108
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10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 2.mp4 126.7 MB
10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project Brief.mp4 105.9 MB
4 - Some Fun With Maths/Linear Algebra - Vectors.mp4 98.0 MB
7 - Data Visualization/Seaborn.mp4 96.1 MB
7 - Data Visualization/Matplotlib.mp4 90.1 MB
2 - Numpy/Numpy Operations Part2.mp4 84.0 MB
10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning Part 1.mp4 83.2 MB
9 - Simple Linear Regression/LR Case Study Part1.mp4 76.3 MB
7 - Data Visualization/Case Study.mp4 63.4 MB
4 - Some Fun With Maths/Linear Algebra - Matrix Part1.mp4 61.1 MB
2 - Numpy/Numpy Operations Part1.mp4 60.1 MB
10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 1.mp4 57.0 MB
5 - Inferential Statistics/Binomial Distribution.mp4 56.7 MB
10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning - Part 2.mp4 55.8 MB
8 - Exploratory Data Analysis/Derived Columns.mp4 53.2 MB
1 - Python Fundamentals/Variables in Python.mp4 52.9 MB
11 - Loan Analysis Project/Lending Club Default Analysis - Data Understanding and Data Cleaning.mp4 52.0 MB
1 - Python Fundamentals/String Part1.mp4 50.3 MB
4 - Some Fun With Maths/Linear Algebra - Matrix Part2.mp4 48.7 MB
8 - Exploratory Data Analysis/Data Cleaning part1.mp4 45.4 MB
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5. Practical example descriptive statistics/1. Practical example.mp4 228.4 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 191.9 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
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
6. Distributions/9. Understanding the central limit theorem.mp4 65.9 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
16. Dealing with categorical data/1. Dummy variables.mp4 60.0 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
7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.mp4 52.4 MB
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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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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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05 Practical example descriptive statistics/026 Practical example.mp4 168.3 MB
17 Practical example regression analysis/091 Practical example regression analysis.mp4 135.6 MB
09 Practical example inferential statistics/051 Practical example inferential statistics.mp4 107.6 MB
10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.mp4 96.6 MB
10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.mp4 86.5 MB
07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
03 The fundamentals of descriptive statistics/004 The various types of data we can work with.mp4 76.1 MB
08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12 Practical example hypothesis testing/068 Practical example hypothesis testing.mp4 72.7 MB
01 Introduction/001 What does the course cover.mp4 72.0 MB
06 Distributions/033 Understanding the central limit theorem.mp4 65.9 MB
06 Distributions/029 What is a distribution.mp4 64.6 MB
02 Sample or population data/003 Understanding the difference between a population and a sample.mp4 60.9 MB
07 Estimators and estimates/039 Confidence interval clarifications.mp4 59.9 MB
11 Hypothesis testing Lets start testing/059 What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
03 The fundamentals of descriptive statistics/005 Levels of measurement.mp4 57.0 MB
11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.mp4 56.9 MB
13 The fundamentals of regression analysis/072 The linear regression model made easy.mp4 53.5 MB
04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.mp4 53.4 MB
11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.mp4 52.9 MB
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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 86.6 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 72.8 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
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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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 86.6 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
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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