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Language:
English
Total Size:
2.9 GB
Info Hash:
1051B4C7C4F6022196D302E161DFEC3BC1F1FFBE
Added By:
Added:
Oct. 28, 2023, 2:51 p.m.
Stats:
|
(Last updated: Oct. 9, 2025, 4:59 p.m.)
| File | Size |
|---|---|
| 1. What does the course cover.mp4 | 68.6 MB |
| 1. What does the course cover.srt | 5.9 KB |
| 1.1 Statistics Glossary.xlsx.xlsx | 20.3 KB |
| 2. Download all resources.html | 716 bytes |
| 1. The null and the alternative hypothesis.mp4 | 92.1 MB |
| 1. The null and the alternative hypothesis.srt | 7.0 KB |
| 1.1 Course notes_hypothesis_testing.pdf.pdf | 656.4 KB |
| 2. Further reading on null and alternative hypotheses.html | 2.3 KB |
| 3. Null vs alternative.html | 159 bytes |
| 4. Establishing a rejection region and a significance level.mp4 | 82.5 MB |
| 4. Establishing a rejection region and a significance level.srt | 9.4 KB |
| 4.1 Course notes_hypothesis_testing.pdf.pdf | 656.4 KB |
| 5. Rejection region and significance level.html | 159 bytes |
| 6. Type I error vs Type II error.mp4 | 43.9 MB |
| 6. Type I error vs Type II error.srt | 5.4 KB |
| 7. Type I error vs type II error.html | 159 bytes |
| 1. Test for the mean. Population variance known.mp4 | 54.3 MB |
| 1. Test for the mean. Population variance known.srt | 7.5 KB |
| 1.1 4.4. Test for the mean. Population variance known_lesson.xlsx.xlsx | 11.0 KB |
| 10. Test for the mean. Independent samples (Part 1).html | 82 bytes |
| 10.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx.xlsx | 11.3 KB |
| 10.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx.xlsx | 10.8 KB |
| 11. Test for the mean. Independent samples (Part 2).mp4 | 36.4 MB |
| 11. Test for the mean. Independent samples (Part 2).srt | 5.3 KB |
| 11.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx.xlsx | 9.3 KB |
| 12. Test for the mean. Independent samples (Part 2).html | 160 bytes |
| 13. Test for the mean. Independent samples (Part 2). Exercise.html | 82 bytes |
| 13.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx | 11.4 KB |
| 13.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx.xlsx | 10.5 KB |
| 2. Test for the mean. Population variance known. Exercise.html | 86 bytes |
| 2.1 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx | 11.2 KB |
| 2.2 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx | 11.0 KB |
| 3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 | 55.9 MB |
| 3. What is the p-value and why is it one of the most useful tools for statisticians.srt | 55.9 MB |
| 3.1 Online p-value calculator.pdf.pdf | 1.2 MB |
| 4. p-value.html | 159 bytes |
| 5. Test for the mean. Population variance unknown.mp4 | 40.2 MB |
| 5. Test for the mean. Population variance unknown.srt | 5.6 KB |
| 5.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx.xlsx | 14.5 KB |
| 6. Test for the mean. Population variance unknown. Exercise.html | 86 bytes |
| 6.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx | 11.3 KB |
| 6.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx | 12.6 KB |
| 7. Test for the mean. Dependent samples.mp4 | 50.4 MB |
| 7. Test for the mean. Dependent samples.srt | 6.3 KB |
| 7.1 4.7. Test for the mean. Dependent samples_lesson.xlsx.xlsx | 9.8 KB |
| 8. Test for the mean. Dependent samples. Exercise.html | 86 bytes |
| 8.1 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx | 14.4 KB |
| 8.2 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx | 12.8 KB |
| 9. Test for the mean. Independent samples (Part 1).mp4 | 30.0 MB |
| 9. Test for the mean. Independent samples (Part 1).srt | 5.3 KB |
| 9.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx.xlsx | 9.6 KB |
| 1. Practical example hypothesis testing.mp4 | 69.4 MB |
| 1. Practical example hypothesis testing.srt | 8.1 KB |
| 1.1 4.10.Hypothesis-testing-section-practical-example.xlsx.xlsx | 51.7 KB |
| 2. Practical example hypothesis testing.html | 86 bytes |
| 2.1 4.10. Hypothesis testing section_practical example_exercise.xlsx.xlsx | 43.4 KB |
| 2.2 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx.xlsx | 44.0 KB |
| 1. Introduction to regression analysis.mp4 | 19.4 MB |
| 1. Introduction to regression analysis.srt | 1.6 KB |
| 1.1 Course notes_regression_analysis.pdf.pdf | 270.1 KB |
| 10. A geometrical representation of the linear regression model.html | 160 bytes |
| 11. A practical example - Reinforced learning.mp4 | 45.9 MB |
| 11. A practical example - Reinforced learning.srt | 7.8 KB |
| 11.1 5.6. Example_lesson.xlsx.xlsx | 23.5 KB |
| 2. Introduction.html | 159 bytes |
| 3. Correlation and causation.mp4 | 25.6 MB |
| 3. Correlation and causation.srt | 5.9 KB |
| 3.1 Course notes_regression_analysis.pdf.pdf | 270.1 KB |
| 3.2 5.2. Correlation and causation_lesson.xlsx.xlsx | 10.6 KB |
| 4. Correlation and causation.html | 160 bytes |
| 5. The linear regression model made easy.mp4 | 51.0 MB |
| 5. The linear regression model made easy.srt | 7.4 KB |
| 6. The linear regression model.html | 159 bytes |
| 7. What is the difference between correlation and regression.mp4 | 12.7 MB |
| 7. What is the difference between correlation and regression.srt | 2.1 KB |
| 8. Correlation vs regression.html | 159 bytes |
| 9. A geometrical representation of the linear regression model.mp4 | 4.9 MB |
| 9. A geometrical representation of the linear regression model.srt | 1.7 KB |
| 1. Decomposing the linear regression model - understanding its nuts and bolts.mp4 | 42.2 MB |
| 1. Decomposing the linear regression model - understanding its nuts and bolts.srt | 4.4 KB |
| 10. The multiple linear regression model.mp4 | 19.1 MB |
| 10. The multiple linear regression model.srt | 3.6 KB |
| 11. The multiple linear regression model.html | 160 bytes |
| 12. The adjusted R-squared.mp4 | 43.7 MB |
| 12. The adjusted R-squared.srt | 6.9 KB |
| 12.1 5.12. Adjusted R-squared_lesson.xlsx.xlsx | 18.2 KB |
| 13. The adjusted R-squared.html | 159 bytes |
| 14. What does the F-statistic show us and why do we need to understand it.mp4 | 13.9 MB |
| 14. What does the F-statistic show us and why do we need to understand it.srt | 2.6 KB |
| 2. Decomposition.html | 159 bytes |
| 3. What is R-squared and how does it help us.mp4 | 36.4 MB |
| 3. What is R-squared and how does it help us.srt | 6.7 KB |
| 4. R-squared.html | 159 bytes |
| 5. The ordinary least squares setting and its practical applications.mp4 | 20.0 MB |
| 5. The ordinary least squares setting and its practical applications.srt | 3.0 KB |
| 6. The ordinary least squares setting and its practical applications.html | 160 bytes |
| 7. Studying regression tables.mp4 | 36.8 MB |
| 7. Studying regression tables.srt | 6.2 KB |
| 7.1 5.10.Regression-tables-lesson.xlsx.xlsx | 12.5 KB |
| 8. Studying regression tables.html | 160 bytes |
| 9. Regression tables. Exercise.html | 86 bytes |
| 9.1 5.10. Regression tables_exercise_solution.xlsx.xlsx | 12.5 KB |
| 9.2 5.10. Regression tables_exercise.xlsx.xlsx | 12.0 KB |
| 1. OLS assumptions.mp4 | 19.4 MB |
| 1. OLS assumptions.srt | 3.2 KB |
| 10. A4. No autocorrelation.html | 159 bytes |
| 11. A5. No multicollinearity.mp4 | 26.6 MB |
| 11. A5. No multicollinearity.srt | 4.9 KB |
| 12. A5. No multicollinearity.html | 159 bytes |
| 2. OLS assumptions.html | 159 bytes |
| 3. A1. Linearity.mp4 | 12.1 MB |
| 3. A1. Linearity.srt | 2.4 KB |
| 4. A1. Linearity.html | 160 bytes |
| 5. A2. No endogeneity.mp4 | 32.4 MB |
| 5. A2. No endogeneity.srt | 5.5 KB |
| 6. A2. No endogeneity.html | 159 bytes |
| 7. A3. Normality and homoscedasticity.mp4 | 40.0 MB |
| 7. A3. Normality and homoscedasticity.srt | 7.0 KB |
| 8. A3. Normality and homoscedasticity.html | 160 bytes |
| 9. A4. No autocorrelation.mp4 | 25.9 MB |
| 9. A4. No autocorrelation.srt | 4.8 KB |
| 1. Dummy variables.mp4 | 38.2 MB |
| 1. Dummy variables.srt | 6.5 KB |
| 1.1 5.20. Dummy variables_lesson.xlsx.xlsx | 25.2 KB |
| 1. Practical example regression analysis.mp4 | 129.3 MB |
| 1. Practical example regression analysis.srt | 18.2 KB |
| 1.1 5.21. Regression_Analysis_practical_example.xlsx.xlsx | 1.4 MB |
| 1. Bonus lecture Next steps.html | 3.5 KB |
| 1. Understanding the difference between a population and a sample.mp4 | 58.0 MB |
| 1. Understanding the difference between a population and a sample.srt | 5.6 KB |
| 1.1 Glossary.xlsx.xlsx | 20.0 KB |
| 1.2 Course notes_descriptive_statistics.pdf.pdf | 482.2 KB |
| 2. Population vs sample.html | 159 bytes |
| 1. The various types of data we can work with.mp4 | 72.6 MB |
| 1. The various types of data we can work with.srt | 6.4 KB |
| 1.1 Course notes_descriptive_statistics.pdf.pdf | 482.2 KB |
| 10. Numerical variables. Using a frequency distribution table. Exercise.html | 81 bytes |
| 10.1 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx | 11.7 KB |
| 10.1 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx.xlsx | 13.3 KB |
| 10.2 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx | 11.7 KB |
| 10.2 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx.xlsx | 13.3 KB |
| 11. Histogram charts.mp4 | 13.8 MB |
| 11. Histogram charts.srt | 3.1 KB |
| 11.1 2.5. The Histogram_lesson.xlsx.xlsx | 18.6 KB |
| 12. Histogram charts.html | 160 bytes |
| 13. Histogram charts. Exercise.html | 81 bytes |
| 13.1 2.5. The Histogram_exercise.xlsx.xlsx | 15.5 KB |
| 13.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf | 289.1 KB |
| 13.2 2.5.The-Histogram-exercise-solution.xlsx.xlsx | 17.1 KB |
| 13.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf | 289.1 KB |
| 13.3 2.5. The Histogram_exercise.xlsx.xlsx | 15.5 KB |
| 13.3 2.5.The-Histogram-exercise-solution.xlsx.xlsx | 17.1 KB |
| 14. Cross tables and scatter plots.mp4 | 39.8 MB |
| 14. Cross tables and scatter plots.srt | 6.6 KB |
| 14.1 2.6. Cross table and scatter plot.xlsx.xlsx | 26.1 KB |
| 15. Cross Tables and Scatter Plots.html | 160 bytes |
| 16. Cross tables and scatter plots. Exercise.html | 81 bytes |
| 16.1 2.6. Cross table and scatter plot_exercise.xlsx.xlsx | 16.3 KB |
| 16.2 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx | 40.4 KB |
| 2. Types of data.html | 159 bytes |
| 3. Levels of measurement.mp4 | 54.4 MB |
| 3. Levels of measurement.srt | 4.6 KB |
| 4. Levels of measurement.html | 159 bytes |
| 5. Categorical variables. Visualization techniques for categorical variables.mp4 | 38.5 MB |
| 5. Categorical variables. Visualization techniques for categorical variables.srt | 6.4 KB |
| 5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx.xlsx | 30.8 KB |
| 6. Categorical variables. Visualization Techniques.html | 160 bytes |
| 7. Categorical variables. Visualization techniques. Exercise.html | 81 bytes |
| 7.1 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx | 15.2 KB |
| 7.1 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx | 41.1 KB |
| 7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx | 15.2 KB |
| 7.2 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx | 41.1 KB |
| 7.3 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf | 289.1 KB |
| 8. Numerical variables. Using a frequency distribution table.mp4 | 25.8 MB |
| 8. Numerical variables. Using a frequency distribution table.srt | 4.3 KB |
| 8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx | 11.4 KB |
| 9. Numerical variables. Using a frequency distribution table.html | 160 bytes |
| 1. The main measures of central tendency mean, median and mode.mp4 | 37.1 MB |
| 1. The main measures of central tendency mean, median and mode.srt | 5.6 KB |
| 1.1 2.7. Mean, median and mode_lesson.xlsx.xlsx | 10.5 KB |
| 10. Standard deviation and coefficient of variation. Exercise.html | 81 bytes |
| 10.1 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx.xlsx | 12.6 KB |
| 10.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx.xlsx | 11.6 KB |
| 11. Calculating and understanding covariance.mp4 | 27.5 MB |
| 11. Calculating and understanding covariance.srt | 27.5 MB |
| 11.1 2.11. Covariance_lesson.xlsx.xlsx | 24.9 KB |
| 12. Covariance. Exercise.html | 81 bytes |
| 12.1 2.11. Covariance_exercise_solution.xlsx.xlsx | 29.5 KB |
| 12.2 2.11. Covariance_exercise.xlsx.xlsx | 20.2 KB |
| 13. The correlation coefficient.mp4 | 29.4 MB |
| 13. The correlation coefficient.srt | 4.6 KB |
| 13.1 2.12. Correlation_lesson.xlsx.xlsx | 25.0 KB |
| 14. Correlation.html | 160 bytes |
| 15. Correlation coefficient.html | 81 bytes |
| 15.1 2.12. Correlation_exercise.xlsx.xlsx | 29.3 KB |
| 15.2 2.12. Correlation_exercise_solution.xlsx.xlsx | 29.5 KB |
| 2. Mean, median and mode. Exercise.html | 81 bytes |
| 2.1 2.7. Mean, median and mode_exercise.xlsx.xlsx | 10.9 KB |
| 2.2 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx | 11.4 KB |
| 3. Measuring skewness.mp4 | 19.4 MB |
| 3. Measuring skewness.srt | 3.6 KB |
| 3.1 2.8. Skewness_lesson.xlsx.xlsx | 34.6 KB |
| 4. Skewness.html | 160 bytes |
| 5. Skewness. Exercise.html | 81 bytes |
| 5.1 2.8. Skewness_exercise.xlsx.xlsx | 9.5 KB |
| 5.2 2.8. Skewness_exercise_solution.xlsx.xlsx | 19.8 KB |
| 6. Measuring how data is spread out calculating variance.mp4 | 50.9 MB |
| 6. Measuring how data is spread out calculating variance.srt | 7.4 KB |
| 6.1 2.9. Variance_lesson.xlsx.xlsx | 10.1 KB |
| 7. Variance. Exercise.html | 81 bytes |
| 7.1 2.9. Variance_exercise.xlsx.xlsx | 10.8 KB |
| 7.2 2.9. Variance_exercise_solution.xlsx.xlsx | 11.1 KB |
| 8. Standard deviation and coefficient of variation.mp4 | 45.2 MB |
| 8. Standard deviation and coefficient of variation.srt | 6.0 KB |
| 8.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx | 11.0 KB |
| 9. Standard deviation.html | 160 bytes |
| 1. Practical example.mp4 | 160.5 MB |
| 1. Practical example.srt | 19.7 KB |
| 1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx.xlsx | 146.5 KB |
| 2. Practical example descriptive statistics.html | 81 bytes |
| 2.1 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx | 146.4 KB |
| 2.2 2.13.Practical-example.Descriptive-statistics-exercise.xlsx.xlsx | 120.3 KB |
| 1. Introduction to inferential statistics.mp4 | 15.5 MB |
| 1. Introduction to inferential statistics.srt | 1.6 KB |
| 1.1 Course notes_inferential statistics.pdf.pdf | 382.3 KB |
| 10. The central limit theorem.html | 159 bytes |
| 11. Standard error.mp4 | 22.8 MB |
| 11. Standard error.srt | 1.9 KB |
| 12. Standard error.html | 160 bytes |
| 2. What is a distribution.mp4 | 61.6 MB |
| 2. What is a distribution.srt | 5.8 KB |
| 2.1 3.2. What is a distribution_lesson.xlsx.xlsx | 19.5 KB |
| 2.2 Course notes_inferential statistics.pdf.pdf | 382.3 KB |
| 3. What is a distribution.html | 159 bytes |
| 4. The Normal distribution.mp4 | 49.9 MB |
| 4. The Normal distribution.srt | 5.0 KB |
| 5. The Normal distribution.html | 159 bytes |
| 6. The standard normal distribution.mp4 | 22.5 MB |
| 6. The standard normal distribution.srt | 3.9 KB |
| 6.1 3.4. Standard normal distribution_lesson.xlsx.xlsx | 10.4 KB |
| 7. The standard normal distribution.html | 160 bytes |
| 8. Standard Normal Distribution. Exercise.html | 81 bytes |
| 8.1 3.4.Standard-normal-distribution-exercise.xlsx.xlsx | 12.0 KB |
| 8.2 3.4.Standard-normal-distribution-exercise-solution.xlsx.xlsx | 24.0 KB |
| 9. Understanding the central limit theorem.mp4 | 62.9 MB |
| 9. Understanding the central limit theorem.srt | 5.5 KB |
| 1. Working with estimators and estimates.mp4 | 47.8 MB |
| 1. Working with estimators and estimates.srt | 3.8 KB |
| 10. Calculating confidence intervals within a population with an unknown variance.mp4 | 32.2 MB |
| 10. Calculating confidence intervals within a population with an unknown variance.srt | 5.1 KB |
| 10.1 3.11. The t-table.xlsx.xlsx | 15.8 KB |
| 10.2 3.11. Population variance unknown, t-score_lesson.xlsx.xlsx | 10.8 KB |
| 11. Population variance unknown. T-score. Exercise.html | 81 bytes |
| 11.1 3.11. Population variance unknown, t-score_exercise.xlsx.xlsx | 10.6 KB |
| 11.2 3.11. The t-table.xlsx.xlsx | 15.8 KB |
| 11.3 3.11. Population variance unknown, t-score_exercise_solution.xlsx.xlsx | 11.1 KB |
| 12. What is a margin of error and why is it important in Statistics.mp4 | 47.2 MB |
| 12. What is a margin of error and why is it important in Statistics.srt | 6.7 KB |
| 13. Margin of error.html | 159 bytes |
| 2. Estimators and estimates.html | 159 bytes |
| 3. Confidence intervals - an invaluable tool for decision making.mp4 | 49.9 MB |
| 3. Confidence intervals - an invaluable tool for decision making.srt | 3.0 KB |
| 4. Confidence intervals.html | 159 bytes |
| 5. Calculating confidence intervals within a population with a known variance.mp4 | 78.2 MB |
| 5. Calculating confidence intervals within a population with a known variance.srt | 9.1 KB |
| 5.1 3.9.The-z-table.xlsx.xlsx | 25.6 KB |
| 5.2 3.9. Population variance known, z-score_lesson.xlsx.xlsx | 11.2 KB |
| 6. Confidence intervals. Population variance known. Exercise.html | 81 bytes |
| 6.1 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx | 11.2 KB |
| 6.2 3.9. Population variance known, z-score_exercise.xlsx.xlsx | 10.8 KB |
| 6.3 3.9.The-z-table.xlsx.xlsx | 25.6 KB |
| 7. Confidence interval clarifications.mp4 | 57.1 MB |
| 7. Confidence interval clarifications.srt | 5.5 KB |
| 8. Student's T distribution.mp4 | 35.4 MB |
| 8. Student's T distribution.srt | 4.2 KB |
| 9. Student's T distribution.html | 159 bytes |
| 1. Calculating confidence intervals for two means with dependent samples.mp4 | 70.5 MB |
| 1. Calculating confidence intervals for two means with dependent samples.srt | 7.9 KB |
| 1.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx | 10.5 KB |
| 2. Confidence intervals. Two means. Dependent samples. Exercise.html | 81 bytes |
| 2.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx | 13.7 KB |
| 2.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx.xlsx | 14.2 KB |
| 3. Calculating confidence intervals for two means with independent samples (part 1).mp4 | 28.8 MB |
| 3. Calculating confidence intervals for two means with independent samples (part 1).srt | 5.9 KB |
| 3.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx | 9.8 KB |
| 4. Confidence intervals. Two means. Independent samples (Part 1). Exercise.html | 81 bytes |
| 4.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx.xlsx | 9.8 KB |
| 4.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx.xlsx | 10.1 KB |
| 5. Calculating confidence intervals for two means with independent samples (part 2).mp4 | 26.8 MB |
| 5. Calculating confidence intervals for two means with independent samples (part 2).srt | 4.4 KB |
| 5.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx | 9.5 KB |
| 6. Confidence intervals. Two means. Independent samples (Part 2). Exercise.html | 81 bytes |
| 6.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx | 9.2 KB |
| 6.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx.xlsx | 9.8 KB |
| 7. Calculating confidence intervals for two means with independent samples (part 3).mp4 | 19.9 MB |
| 7. Calculating confidence intervals for two means with independent samples (part 3).srt | 1.9 KB |
| 1. Practical example inferential statistics.mp4 | 102.6 MB |
| 1. Practical example inferential statistics.srt | 13.3 KB |
| 1.1 3.17. Practical example. Confidence intervals_lesson.xlsx.xlsx | 1.7 MB |
| 2. Practical example inferential statistics.html | 81 bytes |
| 2.1 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx.xlsx | 1.8 MB |
| 2.2 3.17.Practical-example.Confidence-intervals-exercise.xlsx.xlsx | 1.7 MB |
| Read Me.txt | 1.0 KB |
| [FreeAllCourse.Com].url | 52 bytes |
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| Uploaded by freecoursewb | Size 771.8 MB | Health [ 5 /5 ] | Added 2023-10-23 |
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SOURCE: Udemy Statistics for Data Science and Business Analysis FreeAllCourse
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