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| [GigaCourse.com].url |
49б |
| 1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx |
146.51Кб |
| 1.1 2.7. Mean, median and mode_lesson.xlsx |
10.49Кб |
| 1.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx |
10.47Кб |
| 1.1 3.17. Practical example. Confidence intervals_lesson.xlsx |
1.74Мб |
| 1.1 4.10.Hypothesis-testing-section-practical-example.xlsx |
51.71Кб |
| 1.1 4.4. Test for the mean. Population variance known_lesson.xlsx |
10.96Кб |
| 1.1 5.20. Dummy variables_lesson.xlsx |
25.19Кб |
| 1.1 5.21. Regression_Analysis_practical_example.xlsx |
1.44Мб |
| 1.1 Course notes_descriptive_statistics.pdf |
482.21Кб |
| 1.1 Course notes_hypothesis_testing.pdf |
656.44Кб |
| 1.1 Course notes_inferential statistics.pdf |
382.32Кб |
| 1.1 Course notes_regression_analysis.pdf |
270.06Кб |
| 1.1 Glossary.xlsx |
19.97Кб |
| 1.1 Statistics Glossary.xlsx |
20.26Кб |
| 1.2 Course notes_descriptive_statistics.pdf |
482.21Кб |
| 1. Bonus lecture Next steps.html |
3.52Кб |
| 1. Calculating confidence intervals for two means with dependent samples.mp4 |
70.50Мб |
| 1. Calculating confidence intervals for two means with dependent samples.srt |
7.88Кб |
| 1. Decomposing the linear regression model - understanding its nuts and bolts.mp4 |
42.22Мб |
| 1. Decomposing the linear regression model - understanding its nuts and bolts.srt |
4.17Кб |
| 1. Dummy variables.mp4 |
38.19Мб |
| 1. Dummy variables.srt |
6.14Кб |
| 1. Introduction to inferential statistics.mp4 |
15.47Мб |
| 1. Introduction to inferential statistics.srt |
1.62Кб |
| 1. Introduction to regression analysis.mp4 |
19.41Мб |
| 1. Introduction to regression analysis.srt |
1.54Кб |
| 1. OLS assumptions.mp4 |
19.39Мб |
| 1. OLS assumptions.srt |
3.03Кб |
| 1. Practical example.mp4 |
160.47Мб |
| 1. Practical example.srt |
19.71Кб |
| 1. Practical example hypothesis testing.mp4 |
69.39Мб |
| 1. Practical example hypothesis testing.srt |
8.10Кб |
| 1. Practical example inferential statistics.mp4 |
102.59Мб |
| 1. Practical example inferential statistics.srt |
13.28Кб |
| 1. Practical example regression analysis.mp4 |
129.32Мб |
| 1. Practical example regression analysis.srt |
17.45Кб |
| 1. Test for the mean. Population variance known.mp4 |
54.30Мб |
| 1. Test for the mean. Population variance known.srt |
7.55Кб |
| 1. The main measures of central tendency mean, median and mode.mp4 |
37.12Мб |
| 1. The main measures of central tendency mean, median and mode.srt |
5.58Кб |
| 1. The null and the alternative hypothesis.mp4 |
92.16Мб |
| 1. The null and the alternative hypothesis.srt |
6.97Кб |
| 1. The various types of data we can work with.mp4 |
72.59Мб |
| 1. The various types of data we can work with.srt |
5.89Кб |
| 1. Understanding the difference between a population and a sample.mp4 |
58.04Мб |
| 1. Understanding the difference between a population and a sample.srt |
5.47Кб |
| 1. What does the course cover.mp4 |
68.63Мб |
| 1. What does the course cover.srt |
5.60Кб |
| 1. Working with estimators and estimates.mp4 |
47.84Мб |
| 1. Working with estimators and estimates.srt |
3.77Кб |
| 10.1 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx |
12.60Кб |
| 10.1 2.4.Numerical-variables.Frequency-distribution-table-exercise.xlsx |
12.02Кб |
| 10.1 3.11. Population variance unknown, t-score_lesson.xlsx |
10.78Кб |
| 10.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx |
11.25Кб |
| 10.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx |
11.61Кб |
| 10.2 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx |
13.25Кб |
| 10.2 3.11. The t-table.xlsx |
15.85Кб |
| 10.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx |
10.77Кб |
| 10. A4. No autocorrelation.html |
159б |
| 10. A geometrical representation of the linear regression model.html |
160б |
| 10. Calculating confidence intervals within a population with an unknown variance.mp4 |
32.19Мб |
| 10. Calculating confidence intervals within a population with an unknown variance.srt |
5.14Кб |
| 10. Numerical variables. Using a frequency distribution table. Exercise.html |
81б |
| 10. Standard deviation and coefficient of variation. Exercise.html |
81б |
| 10. Test for the mean. Independent samples (Part 1).html |
82б |
| 10. The central limit theorem.html |
159б |
| 10. The multiple linear regression model.mp4 |
19.11Мб |
| 10. The multiple linear regression model.srt |
3.35Кб |
| 11.1 2.11. Covariance_lesson.xlsx |
24.92Кб |
| 11.1 2.5. The Histogram_lesson.xlsx |
18.63Кб |
| 11.1 3.11. Population variance unknown, t-score_exercise_solution.xlsx |
11.10Кб |
| 11.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx |
9.31Кб |
| 11.1 5.6. Example_lesson.xlsx |
23.54Кб |
| 11.2 3.11. The t-table.xlsx |
15.85Кб |
| 11.3 3.11. Population variance unknown, t-score_exercise.xlsx |
10.62Кб |
| 11. A5. No multicollinearity.mp4 |
26.59Мб |
| 11. A5. No multicollinearity.srt |
4.62Кб |
| 11. A practical example - Reinforced learning.mp4 |
45.87Мб |
| 11. A practical example - Reinforced learning.srt |
7.38Кб |
| 11. Calculating and understanding covariance.mp4 |
27.48Мб |
| 11. Calculating and understanding covariance.srt |
4.77Кб |
| 11. Histogram charts.mp4 |
13.79Мб |
| 11. Histogram charts.srt |
3.10Кб |
| 11. Population variance unknown. T-score. Exercise.html |
81б |
| 11. Standard error.mp4 |
22.77Мб |
| 11. Standard error.srt |
1.95Кб |
| 11. Test for the mean. Independent samples (Part 2).mp4 |
36.39Мб |
| 11. Test for the mean. Independent samples (Part 2).srt |
5.14Кб |
| 11. The multiple linear regression model.html |
160б |
| 12.1 2.11. Covariance_exercise.xlsx |
20.23Кб |
| 12.1 5.12. Adjusted R-squared_lesson.xlsx |
18.23Кб |
| 12.2 2.11. Covariance_exercise_solution.xlsx |
29.51Кб |
| 12. A5. No multicollinearity.html |
159б |
| 12. Covariance. Exercise.html |
81б |
| 12. Histogram charts.html |
160б |
| 12. Standard error.html |
160б |
| 12. Test for the mean. Independent samples (Part 2).html |
160б |
| 12. The adjusted R-squared.mp4 |
43.71Мб |
| 12. The adjusted R-squared.srt |
6.55Кб |
| 12. What is a margin of error and why is it important in Statistics.mp4 |
47.22Мб |
| 12. What is a margin of error and why is it important in Statistics.srt |
6.15Кб |
| 13.1 2.12. Correlation_lesson.xlsx |
24.99Кб |
| 13.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx |
10.54Кб |
| 13.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf |
289.12Кб |
| 13.2 2.5.The-Histogram-exercise-solution.xlsx |
17.10Кб |
| 13.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx |
11.39Кб |
| 13.3 2.5. The Histogram_exercise.xlsx |
15.50Кб |
| 13. Histogram charts. Exercise.html |
81б |
| 13. Margin of error.html |
159б |
| 13. Test for the mean. Independent samples (Part 2). Exercise.html |
82б |
| 13. The adjusted R-squared.html |
159б |
| 13. The correlation coefficient.mp4 |
29.41Мб |
| 13. The correlation coefficient.srt |
4.60Кб |
| 14.1 2.6. Cross table and scatter plot.xlsx |
26.12Кб |
| 14. Correlation.html |
160б |
| 14. Cross tables and scatter plots.mp4 |
39.81Мб |
| 14. Cross tables and scatter plots.srt |
6.59Кб |
| 14. What does the F-statistic show us and why do we need to understand it.mp4 |
13.90Мб |
| 14. What does the F-statistic show us and why do we need to understand it.srt |
2.55Кб |
| 15.1 2.12. Correlation_exercise_solution.xlsx |
29.48Кб |
| 15.2 2.12. Correlation_exercise.xlsx |
29.30Кб |
| 15. Correlation coefficient.html |
81б |
| 15. Cross Tables and Scatter Plots.html |
160б |
| 16.1 2.6. Cross table and scatter plot_exercise_solution.xlsx |
40.44Кб |
| 16.2 2.6. Cross table and scatter plot_exercise.xlsx |
16.28Кб |
| 16. Cross tables and scatter plots. Exercise.html |
81б |
| 2.1 2.13.Practical-example.Descriptive-statistics-exercise.xlsx |
120.28Кб |
| 2.1 2.7. Mean, median and mode_exercise_solution.xlsx |
11.35Кб |
| 2.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx |
13.74Кб |
| 2.1 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx |
1.82Мб |
| 2.1 3.2. What is a distribution_lesson.xlsx |
19.46Кб |
| 2.1 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx |
44.04Кб |
| 2.1 4.4. Test for the mean. Population variance known_exercise_solution.xlsx |
11.22Кб |
| 2.2 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx |
146.38Кб |
| 2.2 2.7. Mean, median and mode_exercise.xlsx |
10.87Кб |
| 2.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx |
14.24Кб |
| 2.2 3.17.Practical-example.Confidence-intervals-exercise.xlsx |
1.73Мб |
| 2.2 4.10. Hypothesis testing section_practical example_exercise.xlsx |
43.38Кб |
| 2.2 4.4. Test for the mean. Population variance known_exercise.xlsx |
11.03Кб |
| 2.2 Course notes_inferential statistics.pdf |
382.32Кб |
| 2. Confidence intervals. Two means. Dependent samples. Exercise.html |
81б |
| 2. Decomposition.html |
159б |
| 2. Download all resources.html |
716б |
| 2. Estimators and estimates.html |
159б |
| 2. Further reading on null and alternative hypotheses.html |
2.29Кб |
| 2. Introduction.html |
159б |
| 2. Mean, median and mode. Exercise.html |
81б |
| 2. OLS assumptions.html |
159б |
| 2. Population vs sample.html |
159б |
| 2. Practical example descriptive statistics.html |
81б |
| 2. Practical example hypothesis testing.html |
86б |
| 2. Practical example inferential statistics.html |
81б |
| 2. Test for the mean. Population variance known. Exercise.html |
86б |
| 2. Types of data.html |
159б |
| 2. What is a distribution.mp4 |
61.62Мб |
| 2. What is a distribution.srt |
5.76Кб |
| 3.1 2.8. Skewness_lesson.xlsx |
34.63Кб |
| 3.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx |
9.83Кб |
| 3.1 Course notes_regression_analysis.pdf |
270.06Кб |
| 3.1 Online p-value calculator.pdf |
1.15Мб |
| 3.2 5.2. Correlation and causation_lesson.xlsx |
10.62Кб |
| 3. A1. Linearity.mp4 |
12.06Мб |
| 3. A1. Linearity.srt |
2.36Кб |
| 3. Calculating confidence intervals for two means with independent samples (part 1).mp4 |
28.75Мб |
| 3. Calculating confidence intervals for two means with independent samples (part 1).srt |
5.89Кб |
| 3. Confidence intervals - an invaluable tool for decision making.mp4 |
49.94Мб |
| 3. Confidence intervals - an invaluable tool for decision making.srt |
3.03Кб |
| 3. Correlation and causation.mp4 |
25.57Мб |
| 3. Correlation and causation.srt |
5.64Кб |
| 3. Levels of measurement.mp4 |
54.38Мб |
| 3. Levels of measurement.srt |
4.58Кб |
| 3. Measuring skewness.mp4 |
19.42Мб |
| 3. Measuring skewness.srt |
3.56Кб |
| 3. Null vs alternative.html |
159б |
| 3. What is a distribution.html |
159б |
| 3. What is R-squared and how does it help us.mp4 |
36.45Мб |
| 3. What is R-squared and how does it help us.srt |
6.37Кб |
| 3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 |
55.87Мб |
| 3. What is the p-value and why is it one of the most useful tools for statisticians.srt |
5.01Кб |
| 4.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx |
10.12Кб |
| 4.1 Course notes_hypothesis_testing.pdf |
656.44Кб |
| 4.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx |
9.83Кб |
| 4. A1. Linearity.html |
160б |
| 4. Confidence intervals.html |
159б |
| 4. Confidence intervals. Two means. Independent samples (Part 1). Exercise.html |
81б |
| 4. Correlation and causation.html |
160б |
| 4. Establishing a rejection region and a significance level.mp4 |
82.54Мб |
| 4. Establishing a rejection region and a significance level.srt |
8.69Кб |
| 4. Levels of measurement.html |
159б |
| 4. p-value.html |
159б |
| 4. R-squared.html |
159б |
| 4. Skewness.html |
160б |
| 4. The Normal distribution.mp4 |
49.87Мб |
| 4. The Normal distribution.srt |
4.98Кб |
| 5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx |
30.77Кб |
| 5.1 2.8. Skewness_exercise.xlsx |
9.49Кб |
| 5.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx |
9.52Кб |
| 5.1 3.9. Population variance known, z-score_lesson.xlsx |
11.21Кб |
| 5.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx |
14.54Кб |
| 5.2 2.8. Skewness_exercise_solution.xlsx |
19.78Кб |
| 5.2 3.9.The-z-table.xlsx |
25.58Кб |
| 5. A2. No endogeneity.mp4 |
32.45Мб |
| 5. A2. No endogeneity.srt |
5.24Кб |
| 5. Calculating confidence intervals for two means with independent samples (part 2).mp4 |
26.81Мб |
| 5. Calculating confidence intervals for two means with independent samples (part 2).srt |
4.36Кб |
| 5. Calculating confidence intervals within a population with a known variance.mp4 |
78.22Мб |
| 5. Calculating confidence intervals within a population with a known variance.srt |
9.08Кб |
| 5. Categorical variables. Visualization techniques for categorical variables.mp4 |
36.66Мб |
| 5. Categorical variables. Visualization techniques for categorical variables.srt |
6.30Кб |
| 5. Rejection region and significance level.html |
159б |
| 5. Skewness. Exercise.html |
81б |
| 5. Test for the mean. Population variance unknown.mp4 |
40.26Мб |
| 5. Test for the mean. Population variance unknown.srt |
5.64Кб |
| 5. The linear regression model made easy.mp4 |
50.99Мб |
| 5. The linear regression model made easy.srt |
7.06Кб |
| 5. The Normal distribution.html |
159б |
| 5. The ordinary least squares setting and its practical applications.mp4 |
20.05Мб |
| 5. The ordinary least squares setting and its practical applications.srt |
2.82Кб |
| 6.1 2.9. Variance_lesson.xlsx |
10.08Кб |
| 6.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx |
9.17Кб |
| 6.1 3.4. Standard normal distribution_lesson.xlsx |
10.38Кб |
| 6.1 3.9.The-z-table.xlsx |
25.58Кб |
| 6.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx |
12.63Кб |
| 6.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx |
9.79Кб |
| 6.2 3.9. Population variance known, z-score_exercise.xlsx |
10.83Кб |
| 6.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx |
11.34Кб |
| 6.3 3.9. Population variance known, z-score_exercise_solution.xlsx |
11.16Кб |
| 6. A2. No endogeneity.html |
159б |
| 6. Categorical variables. Visualization Techniques.html |
160б |
| 6. Confidence intervals. Population variance known. Exercise.html |
81б |
| 6. Confidence intervals. Two means. Independent samples (Part 2). Exercise.html |
81б |
| 6. Measuring how data is spread out calculating variance.mp4 |
50.94Мб |
| 6. Measuring how data is spread out calculating variance.srt |
7.43Кб |
| 6. Test for the mean. Population variance unknown. Exercise.html |
86б |
| 6. The linear regression model.html |
159б |
| 6. The ordinary least squares setting and its practical applications.html |
160б |
| 6. The standard normal distribution.mp4 |
22.51Мб |
| 6. The standard normal distribution.srt |
3.87Кб |
| 6. Type I error vs Type II error.mp4 |
43.94Мб |
| 6. Type I error vs Type II error.srt |
5.37Кб |
| 7.1 2.3. Categorical variables. Visualization techniques_exercise.xlsx |
15.24Кб |
| 7.1 2.9. Variance_exercise.xlsx |
10.83Кб |
| 7.1 4.7. Test for the mean. Dependent samples_lesson.xlsx |
9.79Кб |
| 7.1 5.10.Regression-tables-lesson.xlsx |
12.55Кб |
| 7.2 2.9. Variance_exercise_solution.xlsx |
11.05Кб |
| 7.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf |
289.12Кб |
| 7.3 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx |
41.11Кб |
| 7. A3. Normality and homoscedasticity.mp4 |
39.97Мб |
| 7. A3. Normality and homoscedasticity.srt |
6.67Кб |
| 7. Calculating confidence intervals for two means with independent samples (part 3).mp4 |
19.89Мб |
| 7. Calculating confidence intervals for two means with independent samples (part 3).srt |
1.91Кб |
| 7. Categorical variables. Visualization techniques. Exercise.html |
81б |
| 7. Confidence interval clarifications.mp4 |
57.12Мб |
| 7. Confidence interval clarifications.srt |
5.51Кб |
| 7. Studying regression tables.mp4 |
36.77Мб |
| 7. Studying regression tables.srt |
6.03Кб |
| 7. Test for the mean. Dependent samples.mp4 |
50.44Мб |
| 7. Test for the mean. Dependent samples.srt |
6.34Кб |
| 7. The standard normal distribution.html |
160б |
| 7. Type I error vs type II error.html |
159б |
| 7. Variance. Exercise.html |
81б |
| 7. What is the difference between correlation and regression.mp4 |
12.71Мб |
| 7. What is the difference between correlation and regression.srt |
2.10Кб |
| 8.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx |
10.97Кб |
| 8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx |
11.44Кб |
| 8.1 3.4.Standard-normal-distribution-exercise-solution.xlsx |
24.04Кб |
| 8.1 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx |
14.40Кб |
| 8.2 3.4.Standard-normal-distribution-exercise.xlsx |
11.99Кб |
| 8.2 4.7. Test for the mean. Dependent samples_exercise.xlsx |
12.80Кб |
| 8. A3. Normality and homoscedasticity.html |
160б |
| 8. Correlation vs regression.html |
159б |
| 8. Numerical variables. Using a frequency distribution table.mp4 |
25.84Мб |
| 8. Numerical variables. Using a frequency distribution table.srt |
4.26Кб |
| 8. Standard deviation and coefficient of variation.mp4 |
45.21Мб |
| 8. Standard deviation and coefficient of variation.srt |
6.01Кб |
| 8. Standard Normal Distribution. Exercise.html |
81б |
| 8. Student's T distribution.mp4 |
35.41Мб |
| 8. Student's T distribution.srt |
4.23Кб |
| 8. Studying regression tables.html |
160б |
| 8. Test for the mean. Dependent samples. Exercise.html |
86б |
| 9.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx |
9.63Кб |
| 9.1 5.10. Regression tables_exercise.xlsx |
12.04Кб |
| 9.2 5.10. Regression tables_exercise_solution.xlsx |
12.51Кб |
| 9. A4. No autocorrelation.mp4 |
25.88Мб |
| 9. A4. No autocorrelation.srt |
4.49Кб |
| 9. A geometrical representation of the linear regression model.mp4 |
4.91Мб |
| 9. A geometrical representation of the linear regression model.srt |
1.64Кб |
| 9. Numerical variables. Using a frequency distribution table.html |
160б |
| 9. Regression tables. Exercise.html |
86б |
| 9. Standard deviation.html |
160б |
| 9. Student's T distribution.html |
159б |
| 9. Test for the mean. Independent samples (Part 1).mp4 |
29.97Мб |
| 9. Test for the mean. Independent samples (Part 1).srt |
5.26Кб |
| 9. Understanding the central limit theorem.mp4 |
62.90Мб |
| 9. Understanding the central limit theorem.srt |
5.52Кб |
| Readme.txt |
962б |