| 5. Practical example descriptive statistics/1. Practical example.mp4 | 160.47 MB |
| 17. Practical example regression analysis/1. Practical example regression analysis.mp4 | 129.32 MB |
| 10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 | 112.69 MB |
| 9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 | 102.59 MB |
| 10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 | 92.16 MB |
| 7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 | 78.22 MB |
| 3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 | 72.6 MB |
| 8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 | 70.5 MB |
| 12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 | 69.38 MB |
| 1. Introduction/1. What does the course cover.mp4 | 68.64 MB |
| 6. Distributions/9. Understanding the central limit theorem.mp4 | 62.9 MB |
| 6. Distributions/2. What is a distribution.mp4 | 61.62 MB |
| 7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.mp4 | 59.2 MB |
| 2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 | 58.05 MB |
| 7. Estimators and estimates/7. Confidence interval clarifications.mp4 | 57.11 MB |
| 11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 | 55.88 MB |
| 3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 | 54.38 MB |
| 11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 | 54.3 MB |
| 13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 | 50.99 MB |
| 4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 | 50.93 MB |
| 11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 | 50.45 MB |
| 7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.mp4 | 49.93 MB |
| 6. Distributions/4. The Normal distribution.mp4 | 49.86 MB |
| 7. Estimators and estimates/1. Working with estimators and estimates.mp4 | 47.84 MB |
| 13. The fundamentals of regression analysis/11. A practical example - Reinforced learning.mp4 | 45.88 MB |
| 4. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.mp4 | 45.21 MB |
| 10. Hypothesis testing Introduction/6. Type I error vs Type II error.mp4 | 43.94 MB |
| 14. Subtleties of regression analysis/12. The adjusted R-squared.mp4 | 43.71 MB |
| 14. Subtleties of regression analysis/1. Decomposing the linear regression model - understanding its nuts and bolts.mp4 | 42.22 MB |
| 11. Hypothesis testing Let's start testing!/5. Test for the mean. Population variance unknown.mp4 | 40.26 MB |
| 15. Assumptions for linear regression analysis/7. A3. Normality and homoscedasticity.mp4 | 39.97 MB |
| 3. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.mp4 | 39.81 MB |
| 3. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.mp4 | 38.48 MB |
| 16. Dealing with categorical data/1. Dummy variables.mp4 | 38.19 MB |
| 4. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.mp4 | 37.12 MB |
| 14. Subtleties of regression analysis/7. Studying regression tables.mp4 | 36.78 MB |
| 14. Subtleties of regression analysis/3. What is R-squared and how does it help us.mp4 | 36.45 MB |
| 11. Hypothesis testing Let's start testing!/11. Test for the mean. Independent samples (Part 2).mp4 | 36.39 MB |
| 7. Estimators and estimates/8. Student's T distribution.mp4 | 35.41 MB |
| 15. Assumptions for linear regression analysis/5. A2. No endogeneity.mp4 | 32.45 MB |
| 7. Estimators and estimates/10. Calculating confidence intervals within a population with an unknown variance.mp4 | 32.19 MB |
| 11. Hypothesis testing Let's start testing!/9. Test for the mean. Independent samples (Part 1).mp4 | 29.97 MB |
| 4. Measures of central tendency, asymmetry, and variability/14. The correlation coefficient.mp4 | 29.41 MB |
| 8. Confidence intervals advanced topics/3. Calculating confidence intervals for two means with independent samples (part 1).mp4 | 28.76 MB |
| 4. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.mp4 | 27.47 MB |
| 8. Confidence intervals advanced topics/5. Calculating confidence intervals for two means with independent samples (part 2).mp4 | 26.82 MB |
| 15. Assumptions for linear regression analysis/11. A5. No multicollinearity.mp4 | 26.59 MB |
| 15. Assumptions for linear regression analysis/9. A4. No autocorrelation.mp4 | 25.89 MB |
| 3. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.mp4 | 25.84 MB |
| 13. The fundamentals of regression analysis/3. Correlation and causation.mp4 | 25.58 MB |