[] Udemy - statistics-for-data-science-and-business-analysis 收录时间:2018-02-25 01:16:55 文件大小:555MB 下载次数:463 最近下载:2021-01-11 12:52:19 磁力链接: magnet:?xt=urn:btih:97fb25a73382f1fb2ea8b9ccfa54b3b07735c10f 立即下载 复制链接 文件列表 17 Practical example_ regression analysis/087 Practical example_ regression analysis.mp4 42MB 05 Practical example_ descriptive statistics/025 Practical example.mp4 41MB 09 Practical example_ inferential statistics/049 Practical example_ inferential statistics.mp4 25MB 12 Practical example_ hypothesis testing/064 Practical example_ hypothesis testing.mp4 20MB 01 Introduction/001 What does the course cover_.mp4 13MB 07 Estimators and estimates/036 Calculating confidence intervals within a population with a known variance.mp4 12MB 14 Subtleties of regression analysis/078 Adjusted R-squared.mp4 12MB 08 Confidence intervals_ advanced topics/042 Calculating confidence intervals for two means with dependent samples.mp4 11MB 15 Assumptions for linear regression analysis/083 A3_ Normality and homoscedasticity.mp4 11MB 02 Sample or population data_/002 Understanding the difference between a population and a sample.mp4 11MB 03 The fundamentals of descriptive statistics/003 The various types of data we can work with.mp4 11MB 04 Measures of central tendency_ asymmetry_ and variability/019 Standard deviation and coefficient of variation.mp4 11MB 11 Hypothesis testing_ Let's start testing!/054 Test for the mean_ Population variance known.mp4 11MB 07 Estimators and estimates/038 Student's T distribution.mp4 10MB 07 Estimators and estimates/041 What is a margin of error and why is it important in Statistics_.mp4 10MB 04 Measures of central tendency_ asymmetry_ and variability/013 The main measures of central tendency_ mean_ median_ mode.mp4 10MB 13 The fundamentals of regression analysis/068 The linear regression model made easy.mp4 9MB 15 Assumptions for linear regression analysis/082 A2_ No endogeneity.mp4 9MB 10 Hypothesis testing_ Introduction/051 The null and the alternative hypothesis.mp4 9MB 06 Distributions/032 Understanding the central limit theorem.mp4 9MB 04 Measures of central tendency_ asymmetry_ and variability/017 Measuring how data is spread out_ calculating variance.mp4 9MB 13 The fundamentals of regression analysis/071 A practical example - Reinforced learning.mp4 9MB 03 The fundamentals of descriptive statistics/004 Levels of measurement.mp4 9MB 03 The fundamentals of descriptive statistics/011 Cross tables and scatter plots.mp4 9MB 14 Subtleties of regression analysis/073 What is R-squared and how does it help us_.mp4 8MB 04 Measures of central tendency_ asymmetry_ and variability/023 The correlation coefficient.mp4 8MB 16 Dealing with categorical data/086 Dummy variables.mp4 8MB 11 Hypothesis testing_ Let's start testing!/061 Test for the mean_ Independent samples (Part 1).mp4 8MB 10 Hypothesis testing_ Introduction/053 Type I error vs Type II error.mp4 8MB 11 Hypothesis testing_ Let's start testing!/057 Test for the mean_ Population variance unknown.mp4 7MB 11 Hypothesis testing_ Let's start testing!/059 Test for the mean_ Dependent samples.mp4 7MB 10 Hypothesis testing_ Introduction/052 Establishing a rejection region and a significance level.mp4 7MB 14 Subtleties of regression analysis/075 Studying regression tables.mp4 7MB 08 Confidence intervals_ advanced topics/044 Calculating confidence intervals for two means with independent samples (part 1).mp4 7MB 13 The fundamentals of regression analysis/067 Correlation and causation.mp4 7MB 03 The fundamentals of descriptive statistics/005 Categorical variables_ Visualization techniques for categorical variables.mp4 7MB 11 Hypothesis testing_ Let's start testing!/062 Test for the mean_ Independent samples (Part 2).mp4 7MB 11 Hypothesis testing_ Let's start testing!/056 What is the p-value and why is it one of the most useful tool for statisticians_.mp4 7MB 07 Estimators and estimates/039 Calculating confidence intervals within a population with an unknown variance.mp4 6MB 07 Estimators and estimates/035 Confidence intervals - an invaluable tool for decision making.mp4 6MB 08 Confidence intervals_ advanced topics/046 Calculating confidence intervals for two means with independent samples (part 2).mp4 6MB 03 The fundamentals of descriptive statistics/007 Numerical variables_ Using a frequency distribution table.mp4 6MB 04 Measures of central tendency_ asymmetry_ and variability/021 Calculating and understanding covariance.mp4 6MB 06 Distributions/028 What is a distribution_.mp4 6MB 06 Distributions/029 The Normal distribution.mp4 6MB 15 Assumptions for linear regression analysis/084 A4_ No autocorrelation.mp4 5MB 15 Assumptions for linear regression analysis/085 A5_ No multicollinearity.mp4 5MB 04 Measures of central tendency_ asymmetry_ and variability/015 Measuring skewness.mp4 5MB 14 Subtleties of regression analysis/074 The ordinary least squares setting and its practical applications.mp4 5MB 07 Estimators and estimates/034 Working with estimators and estimates.mp4 5MB 06 Distributions/030 The standard normal distribution.mp4 5MB 14 Subtleties of regression analysis/077 The multivariate linear regression model.mp4 4MB 03 The fundamentals of descriptive statistics/009 Histogram charts.mp4 4MB 14 Subtleties of regression analysis/072 Decomposing the linear regression model - understanding its nuts and bolts.mp4 4MB 15 Assumptions for linear regression analysis/080 OLS assumptions.mp4 4MB 14 Subtleties of regression analysis/079 What does the F-statistic show us and why we need to understand it_.mp4 3MB 06 Distributions/033 Standard error.mp4 3MB 15 Assumptions for linear regression analysis/081 A1_ Linearity.mp4 3MB 06 Distributions/027 Introduction to inferential statistics.mp4 2MB 08 Confidence intervals_ advanced topics/048 Calculating confidence intervals for two means with independent samples (part 3).mp4 2MB 13 The fundamentals of regression analysis/069 What is the difference between correlation and regression_.mp4 2MB 13 The fundamentals of regression analysis/066 Introduction to regression analysis.mp4 2MB 09 Practical example_ inferential statistics/049 3.17.Practical-example.Confidence-intervals-lesson.xlsx 2MB 09 Practical example_ inferential statistics/050 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx 2MB 13 The fundamentals of regression analysis/070 A geometrical representation of the linear regression model.mp4 2MB 11 Hypothesis testing_ Let's start testing!/056 Online-p-value-calculator.pdf 1MB 06 Distributions/027 Course-notes-inferential-statistics.pdf 990KB 06 Distributions/028 Course-notes-inferential-statistics.pdf 990KB 02 Sample or population data_/002 Course-notes-descriptive-statistics.pdf 833KB 03 The fundamentals of descriptive statistics/003 Course-notes-descriptive-statistics.pdf 833KB 05 Practical example_ descriptive statistics/025 2.13.Practical-example.Descriptive-statistics-lesson.xlsx 147KB 05 Practical example_ descriptive statistics/026 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx 146KB 12 Practical example_ hypothesis testing/064 4.10.Hypothesis-testing-section-practical-example.xlsx 52KB 12 Practical example_ hypothesis testing/065 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx 43KB 03 The fundamentals of descriptive statistics/006 2.3.Categorical-variables.Visualization-techniques-exercise-solution.xlsx 41KB 03 The fundamentals of descriptive statistics/012 2.6.Cross-table-and-scatter-plot-exercise-solution.xlsx 40KB 04 Measures of central tendency_ asymmetry_ and variability/015 2.8.Skewness-lesson.xlsx 35KB 13 The fundamentals of regression analysis/071 5.6.Example-lesson.xlsx 31KB 03 The fundamentals of descriptive statistics/005 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx 30KB 04 Measures of central tendency_ asymmetry_ and variability/022 2.11.Covariance-exercise-solution.xlsx 30KB 04 Measures of central tendency_ asymmetry_ and variability/024 2.12.Correlation-exercise-solution.xlsx 29KB 03 The fundamentals of descriptive statistics/011 2.6.Cross-table-and-scatter-plot.xlsx 26KB 04 Measures of central tendency_ asymmetry_ and variability/023 2.12.Correlation-lesson.xlsx 25KB 04 Measures of central tendency_ asymmetry_ and variability/021 2.11.Covariance-lesson.xlsx 25KB 16 Dealing with categorical data/086 5.20.Dummy-variables-lesson.xlsx 24KB 06 Distributions/031 3.4.Standard-normal-distribution-exercise-solution.xlsx 24KB 05 Practical example_ descriptive statistics/025 Practical example-subtitle-en.srt 20KB 01 Introduction/001 Glossary.xlsx 20KB 04 Measures of central tendency_ asymmetry_ and variability/016 2.8.Skewness-exercise-solution.xlsx 20KB 03 The fundamentals of descriptive statistics/009 2.5.The-Histogram-lesson.xlsx 19KB 07 Estimators and estimates/036 3.9.The-z-table.xlsx 18KB 07 Estimators and estimates/037 3.9.The-z-table.xlsx 18KB 17 Practical example_ regression analysis/087 Practical example_ regression analysis-subtitle-en.srt 18KB 05 Practical example_ descriptive statistics/025 Practical example-subtitle-en.vtt 17KB 03 The fundamentals of descriptive statistics/010 2.5.The-Histogram-exercise-solution.xlsx 17KB 07 Estimators and estimates/039 3.11.The-t-table.xlsx 16KB 07 Estimators and estimates/040 3.11.The-t-table.xlsx 16KB 17 Practical example_ regression analysis/087 Practical example_ regression analysis-subtitle-en.vtt 15KB 11 Hypothesis testing_ Let's start testing!/060 4.7.Test-for-the-mean.Dependent-samples-exercise-solution.xlsx 14KB 11 Hypothesis testing_ Let's start testing!/057 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx 14KB 08 Confidence intervals_ advanced topics/043 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise-solution.xlsx 14KB 14 Subtleties of regression analysis/078 5.12.Adjusted-R-squared-lesson.xlsx 14KB 09 Practical example_ inferential statistics/049 Practical example_ inferential statistics-subtitle-en.srt 13KB 03 The fundamentals of descriptive statistics/008 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx 13KB 14 Subtleties of regression analysis/076 5.10.Regression-tables-exercise-solution.xlsx 13KB 04 Measures of central tendency_ asymmetry_ and variability/020 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx 12KB 14 Subtleties of regression analysis/075 5.10.Regression-tables-lesson.xlsx 12KB 11 Hypothesis testing_ Let's start testing!/058 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx 12KB 09 Practical example_ inferential statistics/049 Practical example_ inferential statistics-subtitle-en.vtt 11KB 04 Measures of central tendency_ asymmetry_ and variability/014 2.7.Mean-median-and-mode-exercise-solution.xlsx 11KB 11 Hypothesis testing_ Let's start testing!/055 4.4.Test-for-the-mean.Population-variance-known-exercise-solution.xlsx 11KB 04 Measures of central tendency_ asymmetry_ and variability/018 2.9.Variance-exercise-solution.xlsx 11KB 03 The fundamentals of descriptive statistics/007 2.4.Numerical-variables.Frequency-distribution-table-lesson.xlsx 11KB 04 Measures of central tendency_ asymmetry_ and variability/019 2.10.Standard-deviation-and-coefficient-of-variation-lesson.xlsx 11KB 11 Hypothesis testing_ Let's start testing!/054 4.4.Test-for-the-mean.Population-variance-known-lesson.xlsx 11KB 13 The fundamentals of regression analysis/067 5.2.Correlation-and-causation-lesson.xlsx 11KB 04 Measures of central tendency_ asymmetry_ and variability/013 2.7.Mean-median-and-mode-lesson.xlsx 10KB 08 Confidence intervals_ advanced topics/042 3.13.Confidence-intervals.Two-means.Dependent-samples-lesson.xlsx 10KB 06 Distributions/030 3.4.Standard-normal-distribution-lesson.xlsx 10KB 11 Hypothesis testing_ Let's start testing!/063 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-solution.xlsx 10KB 08 Confidence intervals_ advanced topics/045 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise-solution.xlsx 10KB 04 Measures of central tendency_ asymmetry_ and variability/017 2.9.Variance-lesson.xlsx 10KB 08 Confidence intervals_ advanced topics/044 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-lesson.xlsx 10KB 08 Confidence intervals_ advanced topics/047 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise-solution.xlsx 10KB 11 Hypothesis testing_ Let's start testing!/059 4.7.Test-for-the-mean.Dependent-samples-lesson.xlsx 10KB 11 Hypothesis testing_ Let's start testing!/061 4.8.Test-for-the-mean.Independent-samples-Part-1-lesson.xlsx 10KB 08 Confidence intervals_ advanced topics/046 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-lesson.xlsx 10KB 11 Hypothesis testing_ Let's start testing!/062 4.9.Test-for-the-mean.Independent-samples-Part-2-lesson.xlsx 9KB 12 Practical example_ hypothesis testing/064 Practical example_ hypothesis testing-subtitle-en.srt 8KB 07 Estimators and estimates/036 Calculating confidence intervals within a population with a known variance-subtitle-en.srt 8KB 11 Hypothesis testing_ Let's start testing!/054 Test for the mean_ Population variance known-subtitle-en.srt 8KB 04 Measures of central tendency_ asymmetry_ and variability/017 Measuring how data is spread out_ calculating variance-subtitle-en.srt 8KB 12 Practical example_ hypothesis testing/064 Practical example_ hypothesis testing-subtitle-en.vtt 7KB 07 Estimators and estimates/036 Calculating confidence intervals within a population with a known variance-subtitle-en.vtt 7KB 13 The fundamentals of regression analysis/071 A practical example - Reinforced learning-subtitle-en.srt 7KB 11 Hypothesis testing_ Let's start testing!/054 Test for the mean_ Population variance known-subtitle-en.vtt 7KB 13 The fundamentals of regression analysis/068 The linear regression model made easy-subtitle-en.srt 7KB 15 Assumptions for linear regression analysis/083 A3_ Normality and homoscedasticity-subtitle-en.srt 7KB 10 Hypothesis testing_ Introduction/051 The null and the alternative hypothesis-subtitle-en.srt 7KB 03 The fundamentals of descriptive statistics/011 Cross tables and scatter plots-subtitle-en.srt 7KB 04 Measures of central tendency_ asymmetry_ and variability/017 Measuring how data is spread out_ calculating variance-subtitle-en.vtt 7KB 04 Measures of central tendency_ asymmetry_ and variability/019 Standard deviation and coefficient of variation-subtitle-en.srt 7KB 14 Subtleties of regression analysis/073 What is R-squared and how does it help us_-subtitle-en.srt 7KB 14 Subtleties of regression analysis/078 Adjusted R-squared-subtitle-en.srt 6KB 13 The fundamentals of regression analysis/071 A practical example - Reinforced learning-subtitle-en.vtt 6KB 16 Dealing with categorical data/086 Dummy variables-subtitle-en.srt 6KB 11 Hypothesis testing_ Let's start testing!/059 Test for the mean_ Dependent samples-subtitle-en.srt 6KB 08 Confidence intervals_ advanced topics/042 Calculating confidence intervals for two means with dependent samples-subtitle-en.srt 6KB 07 Estimators and estimates/041 What is a margin of error and why is it important in Statistics_-subtitle-en.srt 6KB 08 Confidence intervals_ advanced topics/044 Calculating confidence intervals for two means with independent samples (part 1)-subtitle-en.srt 6KB 13 The fundamentals of regression analysis/068 The linear regression model made easy-subtitle-en.vtt 6KB 02 Sample or population data_/002 Understanding the difference between a population and a sample-subtitle-en.srt 6KB 11 Hypothesis testing_ Let's start testing!/057 Test for the mean_ Population variance unknown-subtitle-en.srt 6KB 15 Assumptions for linear regression analysis/083 A3_ Normality and homoscedasticity-subtitle-en.vtt 6KB 04 Measures of central tendency_ asymmetry_ and variability/013 The main measures of central tendency_ mean_ median_ mode-subtitle-en.srt 6KB 10 Hypothesis testing_ Introduction/051 The null and the alternative hypothesis-subtitle-en.vtt 6KB 03 The fundamentals of descriptive statistics/011 Cross tables and scatter plots-subtitle-en.vtt 6KB 14 Subtleties of regression analysis/075 Studying regression tables-subtitle-en.srt 6KB 07 Estimators and estimates/039 Calculating confidence intervals within a population with an unknown variance-subtitle-en.srt 6KB 14 Subtleties of regression analysis/073 What is R-squared and how does it help us_-subtitle-en.vtt 6KB 13 The fundamentals of regression analysis/067 Correlation and causation-subtitle-en.srt 6KB 04 Measures of central tendency_ asymmetry_ and variability/019 Standard deviation and coefficient of variation-subtitle-en.vtt 6KB 10 Hypothesis testing_ Introduction/052 Establishing a rejection region and a significance level-subtitle-en.srt 6KB 14 Subtleties of regression analysis/078 Adjusted R-squared-subtitle-en.vtt 6KB 04 Measures of central tendency_ asymmetry_ and variability/023 The correlation coefficient-subtitle-en.srt 6KB 11 Hypothesis testing_ Let's start testing!/059 Test for the mean_ Dependent samples-subtitle-en.vtt 6KB 16 Dealing with categorical data/086 Dummy variables-subtitle-en.vtt 6KB 08 Confidence intervals_ advanced topics/042 Calculating confidence intervals for two means with dependent samples-subtitle-en.vtt 6KB 02 Sample or population data_/002 Understanding the difference between a population and a sample-subtitle-en.vtt 6KB 07 Estimators and estimates/041 What is a margin of error and why is it important in Statistics_-subtitle-en.vtt 5KB 03 The fundamentals of descriptive statistics/005 Categorical variables_ Visualization techniques for categorical variables-subtitle-en.srt 5KB 08 Confidence intervals_ advanced topics/044 Calculating confidence intervals for two means with independent samples (part 1)-subtitle-en.vtt 5KB 15 Assumptions for linear regression analysis/082 A2_ No endogeneity-subtitle-en.srt 5KB 11 Hypothesis testing_ Let's start testing!/062 Test for the mean_ Independent samples (Part 2)-subtitle-en.srt 5KB 11 Hypothesis testing_ Let's start testing!/057 Test for the mean_ Population variance unknown-subtitle-en.vtt 5KB 04 Measures of central tendency_ asymmetry_ and variability/013 The main measures of central tendency_ mean_ median_ mode-subtitle-en.vtt 5KB 11 Hypothesis testing_ Let's start testing!/061 Test for the mean_ Independent samples (Part 1)-subtitle-en.srt 5KB 06 Distributions/032 Understanding the central limit theorem-subtitle-en.srt 5KB 14 Subtleties of regression analysis/075 Studying regression tables-subtitle-en.vtt 5KB 11 Hypothesis testing_ Let's start testing!/056 What is the p-value and why is it one of the most useful tool for statisticians_-subtitle-en.srt 5KB 07 Estimators and estimates/039 Calculating confidence intervals within a population with an unknown variance-subtitle-en.vtt 5KB 10 Hypothesis testing_ Introduction/052 Establishing a rejection region and a significance level-subtitle-en.vtt 5KB 13 The fundamentals of regression analysis/067 Correlation and causation-subtitle-en.vtt 5KB 04 Measures of central tendency_ asymmetry_ and variability/023 The correlation coefficient-subtitle-en.vtt 5KB 06 Distributions/029 The Normal distribution-subtitle-en.srt 5KB 01 Introduction/001 What does the course cover_-subtitle-en.srt 5KB 06 Distributions/028 What is a distribution_-subtitle-en.srt 5KB 04 Measures of central tendency_ asymmetry_ and variability/021 Calculating and understanding covariance-subtitle-en.srt 5KB 03 The fundamentals of descriptive statistics/005 Categorical variables_ Visualization techniques for categorical variables-subtitle-en.vtt 5KB 10 Hypothesis testing_ Introduction/053 Type I error vs Type II error-subtitle-en.srt 5KB 08 Confidence intervals_ advanced topics/046 Calculating confidence intervals for two means with independent samples (part 2)-subtitle-en.srt 5KB 15 Assumptions for linear regression analysis/082 A2_ No endogeneity-subtitle-en.vtt 5KB 11 Hypothesis testing_ Let's start testing!/062 Test for the mean_ Independent samples (Part 2)-subtitle-en.vtt 5KB 15 Assumptions for linear regression analysis/085 A5_ No multicollinearity-subtitle-en.srt 5KB 11 Hypothesis testing_ Let's start testing!/061 Test for the mean_ Independent samples (Part 1)-subtitle-en.vtt 4KB 06 Distributions/032 Understanding the central limit theorem-subtitle-en.vtt 4KB 11 Hypothesis testing_ Let's start testing!/056 What is the p-value and why is it one of the most useful tool for statisticians_-subtitle-en.vtt 4KB 15 Assumptions for linear regression analysis/084 A4_ No autocorrelation-subtitle-en.srt 4KB 07 Estimators and estimates/038 Student's T distribution-subtitle-en.srt 4KB 03 The fundamentals of descriptive statistics/003 The various types of data we can work with-subtitle-en.srt 4KB 01 Introduction/001 What does the course cover_-subtitle-en.vtt 4KB 06 Distributions/029 The Normal distribution-subtitle-en.vtt 4KB 03 The fundamentals of descriptive statistics/007 Numerical variables_ Using a frequency distribution table-subtitle-en.srt 4KB 04 Measures of central tendency_ asymmetry_ and variability/021 Calculating and understanding covariance-subtitle-en.vtt 4KB 06 Distributions/028 What is a distribution_-subtitle-en.vtt 4KB 10 Hypothesis testing_ Introduction/053 Type I error vs Type II error-subtitle-en.vtt 4KB 08 Confidence intervals_ advanced topics/046 Calculating confidence intervals for two means with independent samples (part 2)-subtitle-en.vtt 4KB 15 Assumptions for linear regression analysis/085 A5_ No multicollinearity-subtitle-en.vtt 4KB 15 Assumptions for linear regression analysis/084 A4_ No autocorrelation-subtitle-en.vtt 4KB 07 Estimators and estimates/038 Student's T distribution-subtitle-en.vtt 4KB 03 The fundamentals of descriptive statistics/003 The various types of data we can work with-subtitle-en.vtt 4KB 03 The fundamentals of descriptive statistics/004 Levels of measurement-subtitle-en.srt 4KB 04 Measures of central tendency_ asymmetry_ and variability/015 Measuring skewness-subtitle-en.srt 4KB 06 Distributions/030 The standard normal distribution-subtitle-en.srt 4KB 03 The fundamentals of descriptive statistics/007 Numerical variables_ Using a frequency distribution table-subtitle-en.vtt 4KB 14 Subtleties of regression analysis/077 The multivariate linear regression model-subtitle-en.srt 3KB 07 Estimators and estimates/034 Working with estimators and estimates-subtitle-en.srt 3KB 03 The fundamentals of descriptive statistics/004 Levels of measurement-subtitle-en.vtt 3KB 04 Measures of central tendency_ asymmetry_ and variability/015 Measuring skewness-subtitle-en.vtt 3KB 03 The fundamentals of descriptive statistics/009 Histogram charts-subtitle-en.srt 3KB 06 Distributions/030 The standard normal distribution-subtitle-en.vtt 3KB 07 Estimators and estimates/035 Confidence intervals - an invaluable tool for decision making-subtitle-en.srt 3KB 14 Subtleties of regression analysis/072 Decomposing the linear regression model - understanding its nuts and bolts-subtitle-en.srt 3KB 15 Assumptions for linear regression analysis/080 OLS assumptions-subtitle-en.srt 3KB 14 Subtleties of regression analysis/077 The multivariate linear regression model-subtitle-en.vtt 3KB 07 Estimators and estimates/034 Working with estimators and estimates-subtitle-en.vtt 3KB 03 The fundamentals of descriptive statistics/009 Histogram charts-subtitle-en.vtt 3KB 07 Estimators and estimates/035 Confidence intervals - an invaluable tool for decision making-subtitle-en.vtt 3KB 14 Subtleties of regression analysis/074 The ordinary least squares setting and its practical applications-subtitle-en.srt 3KB 14 Subtleties of regression analysis/079 What does the F-statistic show us and why we need to understand it_-subtitle-en.srt 3KB 15 Assumptions for linear regression analysis/080 OLS assumptions-subtitle-en.vtt 3KB 14 Subtleties of regression analysis/072 Decomposing the linear regression model - understanding its nuts and bolts-subtitle-en.vtt 3KB 14 Subtleties of regression analysis/074 The ordinary least squares setting and its practical applications-subtitle-en.vtt 2KB 14 Subtleties of regression analysis/079 What does the F-statistic show us and why we need to understand it_-subtitle-en.vtt 2KB 15 Assumptions for linear regression analysis/081 A1_ Linearity-subtitle-en.srt 2KB 08 Confidence intervals_ advanced topics/048 Calculating confidence intervals for two means with independent samples (part 3)-subtitle-en.srt 2KB 15 Assumptions for linear regression analysis/081 A1_ Linearity-subtitle-en.vtt 2KB 13 The fundamentals of regression analysis/069 What is the difference between correlation and regression_-subtitle-en.srt 2KB 06 Distributions/033 Standard error-subtitle-en.srt 2KB 06 Distributions/027 Introduction to inferential statistics-subtitle-en.srt 2KB 08 Confidence intervals_ advanced topics/048 Calculating confidence intervals for two means with independent samples (part 3)-subtitle-en.vtt 2KB 13 The fundamentals of regression analysis/069 What is the difference between correlation and regression_-subtitle-en.vtt 2KB 13 The fundamentals of regression analysis/070 A geometrical representation of the linear regression model-subtitle-en.srt 2KB 06 Distributions/033 Standard error-subtitle-en.vtt 2KB 06 Distributions/027 Introduction to inferential statistics-subtitle-en.vtt 2KB 13 The fundamentals of regression analysis/070 A geometrical representation of the linear regression model-subtitle-en.vtt 2KB 13 The fundamentals of regression analysis/066 Introduction to regression analysis-subtitle-en.srt 1KB 13 The fundamentals of regression analysis/066 Introduction to regression analysis-subtitle-en.vtt 1KB 08 Confidence intervals_ advanced topics/045 Confidence intervals_ Two means_ Independent samples (Part 1)_ Exercise.html 1KB 08 Confidence intervals_ advanced topics/047 Confidence intervals_ Two means_ Independent samples (Part 2)_ Exercise.html 1KB 03 The fundamentals of descriptive statistics/008 Numerical variables_ Using a frequency distribution table_ Exercise.html 1KB 08 Confidence intervals_ advanced topics/043 Confidence intervals_ Two means_ Dependent samples_ Exercise.html 1KB 03 The fundamentals of descriptive statistics/006 Categorical variables_ Visualization techniques_ Exercise.html 1KB 04 Measures of central tendency_ asymmetry_ and variability/020 Standard deviation and coefficient of variation_ Exercise.html 1KB 07 Estimators and estimates/037 Confidence intervals_ Population variance known_ Exercise.html 1KB 11 Hypothesis testing_ Let's start testing!/063 Test for the mean_ Independent samples (Part 2)_ Exercise.html 1KB 11 Hypothesis testing_ Let's start testing!/058 Test for the mean_ Population variance uknown_ Exercise.html 1KB 11 Hypothesis testing_ Let's start testing!/055 Test for the mean_ Population variance known_ Exercise.html 1KB 07 Estimators and estimates/040 Population variance unknown_ T-score_ Exercise.html 1KB 11 Hypothesis testing_ Let's start testing!/060 Test for the mean_ Dependent samples_ Exercise.html 1KB 05 Practical example_ descriptive statistics/026 Practical example_ descriptive statistics.html 1KB 09 Practical example_ inferential statistics/050 Practical example_ inferential statistics.html 1KB 03 The fundamentals of descriptive statistics/012 Cross tables and scatter plots_ Exercise.html 1KB 06 Distributions/031 Standard Normal Distribution_ Exercise.html 1KB 12 Practical example_ hypothesis testing/065 Practical example_ hypothesis testing.html 1KB 04 Measures of central tendency_ asymmetry_ and variability/014 Mean_ median_ mode_ Exercise.html 1KB 03 The fundamentals of descriptive statistics/010 Histogram charts_ Exercise.html 1KB 14 Subtleties of regression analysis/076 Regression tables_ Exercise.html 1KB 04 Measures of central tendency_ asymmetry_ and variability/024 Correlation coefficient.html 1KB 04 Measures of central tendency_ asymmetry_ and variability/022 Covariance_ Exercise.html 1KB 04 Measures of central tendency_ asymmetry_ and variability/016 Skewness_ Exercise.html 1KB 04 Measures of central tendency_ asymmetry_ and variability/018 Variance_ Exercise.html 1KB [Discuss.FreeTutorials.us].url 252B [FreeCoursesOnline.Us].url 123B [FreeTutorials.Us].url 119B