[Udemy] Statistics for Data Science and Business Analysis (2020)

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[Udemy] Statistics for Data Science and Business Analysis (2020)

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收录时间：2021-03-26
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文件列表

  • 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
  • 07 Estimators and estimates/036 Confidence intervals - an invaluable tool for decision making.mp4 52.4 MB
  • 06 Distributions/030 The Normal distribution.mp4 52.3 MB
  • 07 Estimators and estimates/035 Working with estimators and estimates.mp4 50.2 MB
  • 07 Estimators and estimates/043 What is a margin of error and why is it important in Statistics.mp4 49.5 MB
  • 13 The fundamentals of regression analysis/075 A practical example - Reinforced learning.mp4 48.1 MB
  • 04 Measures of central tendency asymmetry and variability/020 Standard deviation and coefficient of variation.mp4 47.4 MB
  • 10 Hypothesis testing Introduction/056 Type I error vs Type II error.mp4 46.1 MB
  • 14 Subtleties of regression analysis/082 The adjusted R-squared.mp4 45.8 MB
  • 14 Subtleties of regression analysis/076 Decomposing the linear regression model - understanding its nuts and bolts.mp4 44.3 MB
  • 11 Hypothesis testing Lets start testing/060 Test for the mean. Population variance unknown.mp4 42.2 MB
  • 15 Assumptions for linear regression analysis/087 A3. Normality and homoscedasticity.mp4 41.9 MB
  • 03 The fundamentals of descriptive statistics/012 Cross tables and scatter plots.mp4 41.7 MB
  • 03 The fundamentals of descriptive statistics/006 Categorical variables. Visualization techniques for categorical variables.mp4 40.3 MB
  • 16 Dealing with categorical data/090 Dummy variables.mp4 40.0 MB
  • 04 Measures of central tendency asymmetry and variability/014 The main measures of central tendency mean median and mode.mp4 38.9 MB
  • 14 Subtleties of regression analysis/079 Studying regression tables.mp4 38.6 MB
  • 14 Subtleties of regression analysis/077 What is R-squared and how does it help us.mp4 38.2 MB
  • 11 Hypothesis testing Lets start testing/066 Test for the mean. Independent samples (Part 2).mp4 38.1 MB
  • 07 Estimators and estimates/040 Students T distribution.mp4 37.1 MB
  • 15 Assumptions for linear regression analysis/086 A2. No endogeneity.mp4 34.0 MB
  • 07 Estimators and estimates/041 Calculating confidence intervals within a population with an unknown variance.mp4 33.7 MB
  • 11 Hypothesis testing Lets start testing/064 Test for the mean. Independent samples (Part 1).mp4 31.4 MB
  • 04 Measures of central tendency asymmetry and variability/024 The correlation coefficient.mp4 30.8 MB
  • 08 Confidence intervals advanced topics/046 Calculating confidence intervals for two means with independent samples (part 1).mp4 30.1 MB
  • 04 Measures of central tendency asymmetry and variability/022 Calculating and understanding covariance.mp4 28.8 MB
  • 08 Confidence intervals advanced topics/048 Calculating confidence intervals for two means with independent samples (part 2).mp4 28.1 MB
  • 15 Assumptions for linear regression analysis/089 A5. No multicollinearity.mp4 27.9 MB
  • 15 Assumptions for linear regression analysis/088 A4. No autocorrelation.mp4 27.1 MB
  • 03 The fundamentals of descriptive statistics/008 Numerical variables. Using a frequency distribution table.mp4 27.1 MB
  • 13 The fundamentals of regression analysis/071 Correlation and causation.mp4 26.8 MB
  • 06 Distributions/034 Standard error.mp4 23.9 MB
  • 06 Distributions/031 The standard normal distribution.mp4 23.6 MB
  • 14 Subtleties of regression analysis/078 The ordinary least squares setting and its practical applications.mp4 21.0 MB
  • 08 Confidence intervals advanced topics/050 Calculating confidence intervals for two means with independent samples (part 3).mp4 20.8 MB
  • 04 Measures of central tendency asymmetry and variability/016 Measuring skewness.mp4 20.4 MB
  • 13 The fundamentals of regression analysis/070 Introduction to regression analysis.mp4 20.3 MB
  • 15 Assumptions for linear regression analysis/084 OLS assumptions.mp4 20.3 MB
  • 14 Subtleties of regression analysis/081 The multiple linear regression model.mp4 20.0 MB
  • 06 Distributions/028 Introduction to inferential statistics.mp4 16.2 MB
  • 14 Subtleties of regression analysis/083 What does the F-statistic show us and why do we need to understand it.mp4 14.6 MB
  • 03 The fundamentals of descriptive statistics/010 Histogram charts.mp4 14.5 MB
  • 13 The fundamentals of regression analysis/073 What is the difference between correlation and regression.mp4 13.3 MB
  • 15 Assumptions for linear regression analysis/085 A1. Linearity.mp4 12.6 MB
  • 13 The fundamentals of regression analysis/074 A geometrical representation of the linear regression model.mp4 5.1 MB
  • 09 Practical example inferential statistics/052 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx 1.9 MB
  • 09 Practical example inferential statistics/051 3.17.Practical-example.Confidence-intervals-lesson.xlsx 1.8 MB
  • 09 Practical example inferential statistics/052 3.17.Practical-example.Confidence-intervals-exercise.xlsx 1.8 MB
  • 17 Practical example regression analysis/091 5.21.Regression-Analysis-practical-example.xlsx 1.5 MB
  • 11 Hypothesis testing Lets start testing/059 Online-p-value-calculator.pdf 1.2 MB
  • 10 Hypothesis testing Introduction/053 Course-notes-hypothesis-testing.pdf 663.8 kB
  • 10 Hypothesis testing Introduction/055 Course-notes-hypothesis-testing.pdf 663.8 kB
  • 02 Sample or population data/003 Course-notes-descriptive-statistics.pdf 493.8 kB
  • 03 The fundamentals of descriptive statistics/004 Course-notes-descriptive-statistics.pdf 493.8 kB
  • 06 Distributions/028 Course-notes-inferential-statistics.pdf 391.5 kB
  • 06 Distributions/029 Course-notes-inferential-statistics.pdf 391.5 kB
  • 03 The fundamentals of descriptive statistics/007 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf 296.1 kB
  • 03 The fundamentals of descriptive statistics/011 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf 296.1 kB
  • 05 Practical example descriptive statistics/026 2.13.Practical-example.Descriptive-statistics-lesson.xlsx 150.0 kB
  • 05 Practical example descriptive statistics/027 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx 149.9 kB
  • 05 Practical example descriptive statistics/027 2.13.Practical-example.Descriptive-statistics-exercise.xlsx 123.2 kB
  • 12 Practical example hypothesis testing/068 4.10.Hypothesis-testing-section-practical-example.xlsx 53.0 kB
  • 12 Practical example hypothesis testing/069 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx 45.1 kB
  • 12 Practical example hypothesis testing/069 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx 44.4 kB
  • 03 The fundamentals of descriptive statistics/007 2.3.Categorical-variables.Visualization-techniques-exercise-solution.xlsx 42.1 kB
  • 03 The fundamentals of descriptive statistics/013 2.6.Cross-table-and-scatter-plot-exercise-solution.xlsx 41.4 kB
  • 04 Measures of central tendency asymmetry and variability/016 2.8.Skewness-lesson.xlsx 35.5 kB
  • 03 The fundamentals of descriptive statistics/006 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx 31.5 kB
  • 04 Measures of central tendency asymmetry and variability/023 2.11.Covariance-exercise-solution.xlsx 30.2 kB
  • 04 Measures of central tendency asymmetry and variability/025 2.12.Correlation-exercise-solution.xlsx 30.2 kB
  • 04 Measures of central tendency asymmetry and variability/025 2.12.Correlation-exercise.xlsx 30.0 kB
  • 03 The fundamentals of descriptive statistics/012 2.6.Cross-table-and-scatter-plot.xlsx 26.7 kB
  • 07 Estimators and estimates/037 3.9.The-z-table.xlsx 26.2 kB
  • 07 Estimators and estimates/038 3.9.The-z-table.xlsx 26.2 kB
  • 16 Dealing with categorical data/090 5.20.Dummy-variables-lesson.xlsx 25.8 kB
  • 04 Measures of central tendency asymmetry and variability/024 2.12.Correlation-lesson.xlsx 25.6 kB
  • 04 Measures of central tendency asymmetry and variability/022 2.11.Covariance-lesson.xlsx 25.5 kB
  • 06 Distributions/032 3.4.Standard-normal-distribution-exercise-solution.xlsx 24.6 kB
  • 13 The fundamentals of regression analysis/075 5.6.Example-lesson.xlsx 24.1 kB
  • 01 Introduction/001 Statistics-Glossary.xlsx 20.8 kB
  • 04 Measures of central tendency asymmetry and variability/023 2.11.Covariance-exercise.xlsx 20.7 kB
  • 02 Sample or population data/003 Glossary.xlsx 20.4 kB
  • 04 Measures of central tendency asymmetry and variability/017 2.8.Skewness-exercise-solution.xlsx 20.2 kB
  • 06 Distributions/029 3.2.What-is-a-distribution-lesson.xlsx 19.9 kB
  • 05 Practical example descriptive statistics/026 Practical example.en.srt 19.5 kB
  • 03 The fundamentals of descriptive statistics/010 2.5.The-Histogram-lesson.xlsx 19.1 kB
  • 14 Subtleties of regression analysis/082 5.12.Adjusted-R-squared-lesson.xlsx 18.7 kB
  • 17 Practical example regression analysis/091 Practical example regression analysis.en.srt 17.9 kB
  • 03 The fundamentals of descriptive statistics/011 2.5.The-Histogram-exercise-solution.xlsx 17.5 kB
  • 03 The fundamentals of descriptive statistics/013 2.6.Cross-table-and-scatter-plot-exercise.xlsx 16.7 kB
  • 07 Estimators and estimates/041 3.11.The-t-table.xlsx 16.2 kB
  • 07 Estimators and estimates/042 3.11.The-t-table.xlsx 16.2 kB
  • 03 The fundamentals of descriptive statistics/011 2.5.The-Histogram-exercise.xlsx 15.9 kB
  • 03 The fundamentals of descriptive statistics/007 2.3.Categorical-variables.Visualization-techniques-exercise.xlsx 15.6 kB
  • 11 Hypothesis testing Lets start testing/060 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx 14.9 kB
  • 11 Hypothesis testing Lets start testing/063 4.7.Test-for-the-mean.Dependent-samples-exercise-solution.xlsx 14.7 kB
  • 08 Confidence intervals advanced topics/045 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise-solution.xlsx 14.6 kB
  • 08 Confidence intervals advanced topics/045 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise.xlsx 14.1 kB
  • 03 The fundamentals of descriptive statistics/009 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx 13.6 kB
  • 09 Practical example inferential statistics/051 Practical example inferential statistics.en.srt 13.2 kB
  • 11 Hypothesis testing Lets start testing/063 4.7.Test-for-the-mean.Dependent-samples-exercise.xlsx 13.1 kB
  • 11 Hypothesis testing Lets start testing/061 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx 12.9 kB
  • 04 Measures of central tendency asymmetry and variability/021 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx 12.9 kB
  • 14 Subtleties of regression analysis/079 5.10.Regression-tables-lesson.xlsx 12.9 kB
  • 14 Subtleties of regression analysis/080 5.10.Regression-tables-exercise-solution.xlsx 12.8 kB
  • 14 Subtleties of regression analysis/080 5.10.Regression-tables-exercise.xlsx 12.3 kB
  • 06 Distributions/032 3.4.Standard-normal-distribution-exercise.xlsx 12.3 kB
  • 03 The fundamentals of descriptive statistics/009 2.4.Numerical-variables.Frequency-distribution-table-exercise.xlsx 12.0 kB
  • 04 Measures of central tendency asymmetry and variability/021 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx 11.9 kB
  • 03 The fundamentals of descriptive statistics/008 2.4.Numerical-variables.Frequency-distribution-table-lesson.xlsx 11.7 kB
  • 11 Hypothesis testing Lets start testing/067 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx 11.7 kB
  • 04 Measures of central tendency asymmetry and variability/015 2.7.Mean-median-and-mode-exercise-solution.xlsx 11.6 kB
  • 11 Hypothesis testing Lets start testing/061 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx 11.6 kB
  • 11 Hypothesis testing Lets start testing/065 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx 11.5 kB
  • 11 Hypothesis testing Lets start testing/058 4.4.Test-for-the-mean.Population-variance-known-exercise-solution.xlsx 11.5 kB
  • 07 Estimators and estimates/037 3.9.Population-variance-known-z-score-lesson.xlsx 11.5 kB
  • 07 Estimators and estimates/038 3.9.Population-variance-known-z-score-exercise-solution.xlsx 11.4 kB
  • 07 Estimators and estimates/042 3.11.Population-variance-unknown-t-score-exercise-solution.xlsx 11.4 kB
  • 04 Measures of central tendency asymmetry and variability/019 2.9.Variance-exercise-solution.xlsx 11.3 kB
  • 11 Hypothesis testing Lets start testing/058 4.4.Test-for-the-mean.Population-variance-known-exercise.xlsx 11.3 kB
  • 04 Measures of central tendency asymmetry and variability/020 2.10.Standard-deviation-and-coefficient-of-variation-lesson.xlsx 11.2 kB
  • 11 Hypothesis testing Lets start testing/057 4.4.Test-for-the-mean.Population-variance-known-lesson.xlsx 11.2 kB
  • 04 Measures of central tendency asymmetry and variability/015 2.7.Mean-median-and-mode-exercise.xlsx 11.1 kB
  • 07 Estimators and estimates/038 3.9.Population-variance-known-z-score-exercise.xlsx 11.1 kB
  • 04 Measures of central tendency asymmetry and variability/019 2.9.Variance-exercise.xlsx 11.1 kB
  • 07 Estimators and estimates/041 3.11.Population-variance-unknown-t-score-lesson.xlsx 11.0 kB
  • 11 Hypothesis testing Lets start testing/065 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx 11.0 kB
  • 13 The fundamentals of regression analysis/071 5.2.Correlation-and-causation-lesson.xlsx 10.9 kB
  • 07 Estimators and estimates/042 3.11.Population-variance-unknown-t-score-exercise.xlsx 10.9 kB
  • 11 Hypothesis testing Lets start testing/067 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx 10.8 kB
  • 04 Measures of central tendency asymmetry and variability/014 2.7.Mean-median-and-mode-lesson.xlsx 10.7 kB
  • 08 Confidence intervals advanced topics/044 3.13.Confidence-intervals.Two-means.Dependent-samples-lesson.xlsx 10.7 kB
  • 06 Distributions/031 3.4.Standard-normal-distribution-lesson.xlsx 10.6 kB
  • 08 Confidence intervals advanced topics/047 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise-solution.xlsx 10.4 kB
  • 04 Measures of central tendency asymmetry and variability/018 2.9.Variance-lesson.xlsx 10.3 kB
  • 08 Confidence intervals advanced topics/046 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-lesson.xlsx 10.1 kB
  • 08 Confidence intervals advanced topics/047 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise.xlsx 10.1 kB
  • 08 Confidence intervals advanced topics/049 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise-solution.xlsx 10.0 kB
  • 11 Hypothesis testing Lets start testing/062 4.7.Test-for-the-mean.Dependent-samples-lesson.xlsx 10.0 kB
  • 11 Hypothesis testing Lets start testing/064 4.8.Test-for-the-mean.Independent-samples-Part-1-lesson.xlsx 9.9 kB
  • 08 Confidence intervals advanced topics/048 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-lesson.xlsx 9.7 kB
  • 04 Measures of central tendency asymmetry and variability/017 2.8.Skewness-exercise.xlsx 9.7 kB
  • 11 Hypothesis testing Lets start testing/066 4.9.Test-for-the-mean.Independent-samples-Part-2-lesson.xlsx 9.5 kB
  • 08 Confidence intervals advanced topics/049 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise.xlsx 9.4 kB
  • 07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.en.srt 9.0 kB
  • 10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.en.srt 8.9 kB
  • 12 Practical example hypothesis testing/068 Practical example hypothesis testing.en.srt 8.0 kB
  • 08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.en.srt 7.8 kB
  • 13 The fundamentals of regression analysis/075 A practical example - Reinforced learning.en.srt 7.6 kB
  • 11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.en.srt 7.5 kB
  • 04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.en.srt 7.4 kB
  • 13 The fundamentals of regression analysis/072 The linear regression model made easy.en.srt 7.2 kB
  • 10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.en.srt 7.1 kB
  • 15 Assumptions for linear regression analysis/087 A3. Normality and homoscedasticity.en.srt 6.8 kB
  • 14 Subtleties of regression analysis/082 The adjusted R-squared.en.srt 6.7 kB
  • 03 The fundamentals of descriptive statistics/012 Cross tables and scatter plots.en.srt 6.5 kB
  • 14 Subtleties of regression analysis/077 What is R-squared and how does it help us.en.srt 6.5 kB
  • 03 The fundamentals of descriptive statistics/006 Categorical variables. Visualization techniques for categorical variables.en.srt 6.4 kB
  • 07 Estimators and estimates/043 What is a margin of error and why is it important in Statistics.en.srt 6.3 kB
  • 16 Dealing with categorical data/090 Dummy variables.en.srt 6.3 kB
  • 11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.en.srt 6.3 kB
  • 14 Subtleties of regression analysis/079 Studying regression tables.en.srt 6.2 kB
  • 03 The fundamentals of descriptive statistics/004 The various types of data we can work with.en.srt 6.0 kB
  • 04 Measures of central tendency asymmetry and variability/020 Standard deviation and coefficient of variation.en.srt 6.0 kB
  • 08 Confidence intervals advanced topics/046 Calculating confidence intervals for two means with independent samples (part 1).en.srt 5.8 kB
  • 13 The fundamentals of regression analysis/071 Correlation and causation.en.srt 5.8 kB
  • 01 Introduction/001 What does the course cover.en.srt 5.7 kB
  • 06 Distributions/029 What is a distribution.en.srt 5.7 kB
  • 02 Sample or population data/003 Understanding the difference between a population and a sample.en.srt 5.6 kB
  • 11 Hypothesis testing Lets start testing/060 Test for the mean. Population variance unknown.en.srt 5.6 kB
  • 04 Measures of central tendency asymmetry and variability/014 The main measures of central tendency mean median and mode.en.srt 5.5 kB
  • 06 Distributions/033 Understanding the central limit theorem.en.srt 5.5 kB
  • 07 Estimators and estimates/039 Confidence interval clarifications.en.srt 5.5 kB
  • 15 Assumptions for linear regression analysis/086 A2. No endogeneity.en.srt 5.4 kB
  • 10 Hypothesis testing Introduction/056 Type I error vs Type II error.en.srt 5.3 kB
  • 11 Hypothesis testing Lets start testing/066 Test for the mean. Independent samples (Part 2).en.srt 5.3 kB
  • 11 Hypothesis testing Lets start testing/064 Test for the mean. Independent samples (Part 1).en.srt 5.2 kB
  • 07 Estimators and estimates/041 Calculating confidence intervals within a population with an unknown variance.en.srt 5.1 kB
  • 11 Hypothesis testing Lets start testing/059 What is the p-value and why is it one of the most useful tools for statisticians.en.srt 5.0 kB
  • 06 Distributions/030 The Normal distribution.en.srt 4.9 kB
  • 15 Assumptions for linear regression analysis/089 A5. No multicollinearity.en.srt 4.7 kB
  • 04 Measures of central tendency asymmetry and variability/022 Calculating and understanding covariance.en.srt 4.7 kB
  • 15 Assumptions for linear regression analysis/088 A4. No autocorrelation.en.srt 4.6 kB
  • 04 Measures of central tendency asymmetry and variability/024 The correlation coefficient.en.srt 4.6 kB
  • 03 The fundamentals of descriptive statistics/005 Levels of measurement.en.srt 4.5 kB
  • 08 Confidence intervals advanced topics/048 Calculating confidence intervals for two means with independent samples (part 2).en.srt 4.3 kB
  • 14 Subtleties of regression analysis/076 Decomposing the linear regression model - understanding its nuts and bolts.en.srt 4.3 kB
  • 03 The fundamentals of descriptive statistics/008 Numerical variables. Using a frequency distribution table.en.srt 4.2 kB
  • 07 Estimators and estimates/040 Students T distribution.en.srt 4.2 kB
  • 06 Distributions/031 The standard normal distribution.en.srt 3.8 kB
  • 07 Estimators and estimates/035 Working with estimators and estimates.en.srt 3.7 kB
  • 04 Measures of central tendency asymmetry and variability/016 Measuring skewness.en.srt 3.5 kB
  • 14 Subtleties of regression analysis/081 The multiple linear regression model.en.srt 3.4 kB
  • 10 Hypothesis testing Introduction/054 Further reading on null and alternative hypotheses.html 3.2 kB
  • 15 Assumptions for linear regression analysis/084 OLS assumptions.en.srt 3.1 kB
  • 03 The fundamentals of descriptive statistics/010 Histogram charts.en.srt 3.1 kB
  • 07 Estimators and estimates/036 Confidence intervals - an invaluable tool for decision making.en.srt 3.0 kB
  • 14 Subtleties of regression analysis/078 The ordinary least squares setting and its practical applications.en.srt 2.9 kB
  • 14 Subtleties of regression analysis/083 What does the F-statistic show us and why do we need to understand it.en.srt 2.6 kB
  • 15 Assumptions for linear regression analysis/085 A1. Linearity.en.srt 2.4 kB
  • 13 The fundamentals of regression analysis/073 What is the difference between correlation and regression.en.srt 2.1 kB
  • 06 Distributions/034 Standard error.en.srt 1.9 kB
  • 08 Confidence intervals advanced topics/050 Calculating confidence intervals for two means with independent samples (part 3).en.srt 1.9 kB
  • 13 The fundamentals of regression analysis/074 A geometrical representation of the linear regression model.en.srt 1.7 kB
  • 06 Distributions/028 Introduction to inferential statistics.en.srt 1.6 kB
  • 01 Introduction/002 Download all resources.html 1.6 kB
  • 13 The fundamentals of regression analysis/070 Introduction to regression analysis.en.srt 1.6 kB
  • 08 Confidence intervals advanced topics/047 Confidence intervals. Two means. Independent samples (Part 1). Exercise.html 993 Bytes
  • 08 Confidence intervals advanced topics/049 Confidence intervals. Two means. Independent samples (Part 2). Exercise.html 993 Bytes
  • 03 The fundamentals of descriptive statistics/009 Numerical variables. Using a frequency distribution table. Exercise.html 989 Bytes
  • 11 Hypothesis testing Lets start testing/061 Test for the mean. Population variance unknown. Exercise.html 983 Bytes
  • 08 Confidence intervals advanced topics/045 Confidence intervals. Two means. Dependent samples. Exercise.html 982 Bytes
  • 11 Hypothesis testing Lets start testing/058 Test for the mean. Population variance known. Exercise.html 981 Bytes
  • 11 Hypothesis testing Lets start testing/067 Test for the mean. Independent samples (Part 2). Exercise.html 980 Bytes
  • 03 The fundamentals of descriptive statistics/007 Categorical variables. Visualization techniques. Exercise.html 979 Bytes
  • 04 Measures of central tendency asymmetry and variability/021 Standard deviation and coefficient of variation. Exercise.html 979 Bytes
  • 07 Estimators and estimates/038 Confidence intervals. Population variance known. Exercise.html 979 Bytes
  • 11 Hypothesis testing Lets start testing/063 Test for the mean. Dependent samples. Exercise.html 973 Bytes
  • 11 Hypothesis testing Lets start testing/065 Test for the mean. Independent samples (Part 1).html 970 Bytes
  • 07 Estimators and estimates/042 Population variance unknown. T-score. Exercise.html 968 Bytes
  • 12 Practical example hypothesis testing/069 Practical example hypothesis testing.html 963 Bytes
  • 03 The fundamentals of descriptive statistics/013 Cross tables and scatter plots. Exercise.html 962 Bytes
  • 05 Practical example descriptive statistics/027 Practical example descriptive statistics.html 962 Bytes
  • 09 Practical example inferential statistics/052 Practical example inferential statistics.html 962 Bytes
  • 06 Distributions/032 Standard Normal Distribution. Exercise.html 960 Bytes
  • 14 Subtleties of regression analysis/080 Regression tables. Exercise.html 954 Bytes
  • 04 Measures of central tendency asymmetry and variability/015 Mean median and mode. Exercise.html 952 Bytes
  • 03 The fundamentals of descriptive statistics/011 Histogram charts. Exercise.html 948 Bytes
  • 04 Measures of central tendency asymmetry and variability/025 Correlation coefficient.html 945 Bytes
  • 04 Measures of central tendency asymmetry and variability/023 Covariance. Exercise.html 942 Bytes
  • 04 Measures of central tendency asymmetry and variability/017 Skewness. Exercise.html 940 Bytes
  • 04 Measures of central tendency asymmetry and variability/019 Variance. Exercise.html 940 Bytes
  • Data Science Statistics for Data Scientists and Business Analysis Udemy.URL 260 Bytes

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