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[FreeAllCourse.Com] Udemy - Statistics for Data Science and Business Analysis

File Name
Size
1. Introduction/1. What does the course cover.mp4
69 MB
1. Introduction/1. What does the course cover.srt
5.9 kB
1. Introduction/1.1 Statistics Glossary.xlsx.xlsx
20 kB
1. Introduction/2. Download all resources.html
716 B
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4
92 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.srt
7.0 kB
10. Hypothesis testing Introduction/1.1 Course notes_hypothesis_testing.pdf.pdf
656 kB
10. Hypothesis testing Introduction/2. Further reading on null and alternative hypotheses.html
2.3 kB
10. Hypothesis testing Introduction/3. Null vs alternative.html
159 B
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4
82 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.srt
9.4 kB
10. Hypothesis testing Introduction/4.1 Course notes_hypothesis_testing.pdf.pdf
656 kB
10. Hypothesis testing Introduction/5. Rejection region and significance level.html
159 B
10. Hypothesis testing Introduction/6. Type I error vs Type II error.mp4
44 MB
10. Hypothesis testing Introduction/6. Type I error vs Type II error.srt
5.4 kB
10. Hypothesis testing Introduction/7. Type I error vs type II error.html
159 B
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4
54 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.srt
7.5 kB
11. Hypothesis testing Let's start testing!/1.1 4.4. Test for the mean. Population variance known_lesson.xlsx.xlsx
11 kB
11. Hypothesis testing Let's start testing!/10. Test for the mean. Independent samples (Part 1).html
82 B
11. Hypothesis testing Let's start testing!/10.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx.xlsx
11 kB
11. Hypothesis testing Let's start testing!/10.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx.xlsx
11 kB
11. Hypothesis testing Let's start testing!/11. Test for the mean. Independent samples (Part 2).mp4
36 MB
11. Hypothesis testing Let's start testing!/11. Test for the mean. Independent samples (Part 2).srt
5.3 kB
11. Hypothesis testing Let's start testing!/11.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx.xlsx
9.3 kB
11. Hypothesis testing Let's start testing!/12. Test for the mean. Independent samples (Part 2).html
160 B
11. Hypothesis testing Let's start testing!/13. Test for the mean. Independent samples (Part 2). Exercise.html
82 B
11. Hypothesis testing Let's start testing!/13.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx
11 kB
11. Hypothesis testing Let's start testing!/13.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx.xlsx
10 kB
11. Hypothesis testing Let's start testing!/2. Test for the mean. Population variance known. Exercise.html
86 B
11. Hypothesis testing Let's start testing!/2.1 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx
11 kB
11. Hypothesis testing Let's start testing!/2.2 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx
11 kB
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
56 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.srt
56 MB
11. Hypothesis testing Let's start testing!/3.1 Online p-value calculator.pdf.pdf
1.2 MB
11. Hypothesis testing Let's start testing!/4. p-value.html
159 B
11. Hypothesis testing Let's start testing!/5. Test for the mean. Population variance unknown.mp4
40 MB
11. Hypothesis testing Let's start testing!/5. Test for the mean. Population variance unknown.srt
5.6 kB
11. Hypothesis testing Let's start testing!/5.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx.xlsx
14 kB
11. Hypothesis testing Let's start testing!/6. Test for the mean. Population variance unknown. Exercise.html
86 B
11. Hypothesis testing Let's start testing!/6.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx
11 kB
11. Hypothesis testing Let's start testing!/6.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx
13 kB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4
50 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.srt
6.3 kB
11. Hypothesis testing Let's start testing!/7.1 4.7. Test for the mean. Dependent samples_lesson.xlsx.xlsx
9.8 kB
11. Hypothesis testing Let's start testing!/8. Test for the mean. Dependent samples. Exercise.html
86 B
11. Hypothesis testing Let's start testing!/8.1 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx
14 kB
11. Hypothesis testing Let's start testing!/8.2 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx
13 kB
11. Hypothesis testing Let's start testing!/9. Test for the mean. Independent samples (Part 1).mp4
30 MB
11. Hypothesis testing Let's start testing!/9. Test for the mean. Independent samples (Part 1).srt
5.3 kB
11. Hypothesis testing Let's start testing!/9.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx.xlsx
9.6 kB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4
69 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.srt
8.1 kB
12. Practical example hypothesis testing/1.1 4.10.Hypothesis-testing-section-practical-example.xlsx.xlsx
52 kB
12. Practical example hypothesis testing/2. Practical example hypothesis testing.html
86 B
12. Practical example hypothesis testing/2.1 4.10. Hypothesis testing section_practical example_exercise.xlsx.xlsx
43 kB
12. Practical example hypothesis testing/2.2 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx.xlsx
44 kB
13. The fundamentals of regression analysis/1. Introduction to regression analysis.mp4
19 MB
13. The fundamentals of regression analysis/1. Introduction to regression analysis.srt
1.6 kB
13. The fundamentals of regression analysis/1.1 Course notes_regression_analysis.pdf.pdf
270 kB
13. The fundamentals of regression analysis/10. A geometrical representation of the linear regression model.html
160 B
13. The fundamentals of regression analysis/11. A practical example - Reinforced learning.mp4
46 MB
13. The fundamentals of regression analysis/11. A practical example - Reinforced learning.srt
7.8 kB
13. The fundamentals of regression analysis/11.1 5.6. Example_lesson.xlsx.xlsx
24 kB
13. The fundamentals of regression analysis/2. Introduction.html
159 B
13. The fundamentals of regression analysis/3. Correlation and causation.mp4
26 MB
13. The fundamentals of regression analysis/3. Correlation and causation.srt
5.9 kB
13. The fundamentals of regression analysis/3.1 Course notes_regression_analysis.pdf.pdf
270 kB
13. The fundamentals of regression analysis/3.2 5.2. Correlation and causation_lesson.xlsx.xlsx
11 kB
13. The fundamentals of regression analysis/4. Correlation and causation.html
160 B
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4
51 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.srt
7.4 kB
13. The fundamentals of regression analysis/6. The linear regression model.html
159 B
13. The fundamentals of regression analysis/7. What is the difference between correlation and regression.mp4
13 MB
13. The fundamentals of regression analysis/7. What is the difference between correlation and regression.srt
2.1 kB
13. The fundamentals of regression analysis/8. Correlation vs regression.html
159 B
13. The fundamentals of regression analysis/9. A geometrical representation of the linear regression model.mp4
4.9 MB
13. The fundamentals of regression analysis/9. A geometrical representation of the linear regression model.srt
1.7 kB
14. Subtleties of regression analysis/1. Decomposing the linear regression model - understanding its nuts and bolts.mp4
42 MB
14. Subtleties of regression analysis/1. Decomposing the linear regression model - understanding its nuts and bolts.srt
4.4 kB
14. Subtleties of regression analysis/10. The multiple linear regression model.mp4
19 MB
14. Subtleties of regression analysis/10. The multiple linear regression model.srt
3.6 kB
14. Subtleties of regression analysis/11. The multiple linear regression model.html
160 B
14. Subtleties of regression analysis/12. The adjusted R-squared.mp4
44 MB
14. Subtleties of regression analysis/12. The adjusted R-squared.srt
6.9 kB
14. Subtleties of regression analysis/12.1 5.12. Adjusted R-squared_lesson.xlsx.xlsx
18 kB
14. Subtleties of regression analysis/13. The adjusted R-squared.html
159 B
14. Subtleties of regression analysis/14. What does the F-statistic show us and why do we need to understand it.mp4
14 MB
14. Subtleties of regression analysis/14. What does the F-statistic show us and why do we need to understand it.srt
2.6 kB
14. Subtleties of regression analysis/2. Decomposition.html
159 B
14. Subtleties of regression analysis/3. What is R-squared and how does it help us.mp4
36 MB
14. Subtleties of regression analysis/3. What is R-squared and how does it help us.srt
6.7 kB
14. Subtleties of regression analysis/4. R-squared.html
159 B
14. Subtleties of regression analysis/5. The ordinary least squares setting and its practical applications.mp4
20 MB
14. Subtleties of regression analysis/5. The ordinary least squares setting and its practical applications.srt
3.0 kB
14. Subtleties of regression analysis/6. The ordinary least squares setting and its practical applications.html
160 B
14. Subtleties of regression analysis/7. Studying regression tables.mp4
37 MB
14. Subtleties of regression analysis/7. Studying regression tables.srt
6.2 kB
14. Subtleties of regression analysis/7.1 5.10.Regression-tables-lesson.xlsx.xlsx
12 kB
14. Subtleties of regression analysis/8. Studying regression tables.html
160 B
14. Subtleties of regression analysis/9. Regression tables. Exercise.html
86 B
14. Subtleties of regression analysis/9.1 5.10. Regression tables_exercise_solution.xlsx.xlsx
12 kB
14. Subtleties of regression analysis/9.2 5.10. Regression tables_exercise.xlsx.xlsx
12 kB
15. Assumptions for linear regression analysis/1. OLS assumptions.mp4
19 MB
15. Assumptions for linear regression analysis/1. OLS assumptions.srt
3.2 kB
15. Assumptions for linear regression analysis/10. A4. No autocorrelation.html
159 B
15. Assumptions for linear regression analysis/11. A5. No multicollinearity.mp4
27 MB
15. Assumptions for linear regression analysis/11. A5. No multicollinearity.srt
4.9 kB
15. Assumptions for linear regression analysis/12. A5. No multicollinearity.html
159 B
15. Assumptions for linear regression analysis/2. OLS assumptions.html
159 B
15. Assumptions for linear regression analysis/3. A1. Linearity.mp4
12 MB
15. Assumptions for linear regression analysis/3. A1. Linearity.srt
2.4 kB
15. Assumptions for linear regression analysis/4. A1. Linearity.html
160 B
15. Assumptions for linear regression analysis/5. A2. No endogeneity.mp4
32 MB
15. Assumptions for linear regression analysis/5. A2. No endogeneity.srt
5.5 kB
15. Assumptions for linear regression analysis/6. A2. No endogeneity.html
159 B
15. Assumptions for linear regression analysis/7. A3. Normality and homoscedasticity.mp4
40 MB
15. Assumptions for linear regression analysis/7. A3. Normality and homoscedasticity.srt
7.0 kB
15. Assumptions for linear regression analysis/8. A3. Normality and homoscedasticity.html
160 B
15. Assumptions for linear regression analysis/9. A4. No autocorrelation.mp4
26 MB
15. Assumptions for linear regression analysis/9. A4. No autocorrelation.srt
4.8 kB
16. Dealing with categorical data/1. Dummy variables.mp4
38 MB
16. Dealing with categorical data/1. Dummy variables.srt
6.5 kB
16. Dealing with categorical data/1.1 5.20. Dummy variables_lesson.xlsx.xlsx
25 kB
17. Practical example regression analysis/1. Practical example regression analysis.mp4
129 MB
17. Practical example regression analysis/1. Practical example regression analysis.srt
18 kB
17. Practical example regression analysis/1.1 5.21. Regression_Analysis_practical_example.xlsx.xlsx
1.4 MB
18. Bonus lecture/1. Bonus lecture Next steps.html
3.5 kB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4
58 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.srt
5.6 kB
2. Sample or population data/1.1 Glossary.xlsx.xlsx
20 kB
2. Sample or population data/1.2 Course notes_descriptive_statistics.pdf.pdf
482 kB
2. Sample or population data/2. Population vs sample.html
159 B
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4
73 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.srt
6.4 kB
3. The fundamentals of descriptive statistics/1.1 Course notes_descriptive_statistics.pdf.pdf
482 kB
3. The fundamentals of descriptive statistics/10. Numerical variables. Using a frequency distribution table. Exercise.html
81 B
3. The fundamentals of descriptive statistics/10.1 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx
12 kB
3. The fundamentals of descriptive statistics/10.1 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx.xlsx
13 kB
3. The fundamentals of descriptive statistics/10.2 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx
12 kB
3. The fundamentals of descriptive statistics/10.2 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx.xlsx
13 kB
3. The fundamentals of descriptive statistics/11. Histogram charts.mp4
14 MB
3. The fundamentals of descriptive statistics/11. Histogram charts.srt
3.1 kB
3. The fundamentals of descriptive statistics/11.1 2.5. The Histogram_lesson.xlsx.xlsx
19 kB
3. The fundamentals of descriptive statistics/12. Histogram charts.html
160 B
3. The fundamentals of descriptive statistics/13. Histogram charts. Exercise.html
81 B
3. The fundamentals of descriptive statistics/13.1 2.5. The Histogram_exercise.xlsx.xlsx
16 kB
3. The fundamentals of descriptive statistics/13.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf
289 kB
3. The fundamentals of descriptive statistics/13.2 2.5.The-Histogram-exercise-solution.xlsx.xlsx
17 kB
3. The fundamentals of descriptive statistics/13.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf
289 kB
3. The fundamentals of descriptive statistics/13.3 2.5. The Histogram_exercise.xlsx.xlsx
16 kB
3. The fundamentals of descriptive statistics/13.3 2.5.The-Histogram-exercise-solution.xlsx.xlsx
17 kB
3. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.mp4
40 MB
3. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.srt
6.6 kB
3. The fundamentals of descriptive statistics/14.1 2.6. Cross table and scatter plot.xlsx.xlsx
26 kB
3. The fundamentals of descriptive statistics/15. Cross Tables and Scatter Plots.html
160 B
3. The fundamentals of descriptive statistics/16. Cross tables and scatter plots. Exercise.html
81 B
3. The fundamentals of descriptive statistics/16.1 2.6. Cross table and scatter plot_exercise.xlsx.xlsx
16 kB
3. The fundamentals of descriptive statistics/16.2 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx
40 kB
3. The fundamentals of descriptive statistics/2. Types of data.html
159 B
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4
54 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.srt
4.6 kB
3. The fundamentals of descriptive statistics/4. Levels of measurement.html
159 B
3. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.mp4
38 MB
3. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.srt
6.4 kB
3. The fundamentals of descriptive statistics/5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx.xlsx
31 kB
3. The fundamentals of descriptive statistics/6. Categorical variables. Visualization Techniques.html
160 B
3. The fundamentals of descriptive statistics/7. Categorical variables. Visualization techniques. Exercise.html
81 B
3. The fundamentals of descriptive statistics/7.1 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx
15 kB
3. The fundamentals of descriptive statistics/7.1 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx
41 kB
3. The fundamentals of descriptive statistics/7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx
15 kB
3. The fundamentals of descriptive statistics/7.2 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx
41 kB
3. The fundamentals of descriptive statistics/7.3 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf
289 kB
3. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.mp4
26 MB
3. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.srt
4.3 kB
3. The fundamentals of descriptive statistics/8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx
11 kB
3. The fundamentals of descriptive statistics/9. Numerical variables. Using a frequency distribution table.html
160 B
4. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.mp4
37 MB
4. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.srt
5.6 kB
4. Measures of central tendency, asymmetry, and variability/1.1 2.7. Mean, median and mode_lesson.xlsx.xlsx
10 kB
4. Measures of central tendency, asymmetry, and variability/10. Standard deviation and coefficient of variation. Exercise.html
81 B
4. Measures of central tendency, asymmetry, and variability/10.1 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx.xlsx
13 kB
4. Measures of central tendency, asymmetry, and variability/10.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx.xlsx
12 kB
4. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.mp4
28 MB
4. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.srt
28 MB
4. Measures of central tendency, asymmetry, and variability/11.1 2.11. Covariance_lesson.xlsx.xlsx
25 kB
4. Measures of central tendency, asymmetry, and variability/12. Covariance. Exercise.html
81 B
4. Measures of central tendency, asymmetry, and variability/12.1 2.11. Covariance_exercise_solution.xlsx.xlsx
30 kB
4. Measures of central tendency, asymmetry, and variability/12.2 2.11. Covariance_exercise.xlsx.xlsx
20 kB
4. Measures of central tendency, asymmetry, and variability/13. The correlation coefficient.mp4
29 MB
4. Measures of central tendency, asymmetry, and variability/13. The correlation coefficient.srt
4.6 kB
4. Measures of central tendency, asymmetry, and variability/13.1 2.12. Correlation_lesson.xlsx.xlsx
25 kB
4. Measures of central tendency, asymmetry, and variability/14. Correlation.html
160 B
4. Measures of central tendency, asymmetry, and variability/15. Correlation coefficient.html
81 B
4. Measures of central tendency, asymmetry, and variability/15.1 2.12. Correlation_exercise.xlsx.xlsx
29 kB
4. Measures of central tendency, asymmetry, and variability/15.2 2.12. Correlation_exercise_solution.xlsx.xlsx
30 kB
4. Measures of central tendency, asymmetry, and variability/2. Mean, median and mode. Exercise.html
81 B
4. Measures of central tendency, asymmetry, and variability/2.1 2.7. Mean, median and mode_exercise.xlsx.xlsx
11 kB
4. Measures of central tendency, asymmetry, and variability/2.2 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx
11 kB
4. Measures of central tendency, asymmetry, and variability/3. Measuring skewness.mp4
19 MB
4. Measures of central tendency, asymmetry, and variability/3. Measuring skewness.srt
3.6 kB
4. Measures of central tendency, asymmetry, and variability/3.1 2.8. Skewness_lesson.xlsx.xlsx
35 kB
4. Measures of central tendency, asymmetry, and variability/4. Skewness.html
160 B
4. Measures of central tendency, asymmetry, and variability/5. Skewness. Exercise.html
81 B
4. Measures of central tendency, asymmetry, and variability/5.1 2.8. Skewness_exercise.xlsx.xlsx
9.5 kB
4. Measures of central tendency, asymmetry, and variability/5.2 2.8. Skewness_exercise_solution.xlsx.xlsx
20 kB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4
51 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.srt
7.4 kB
4. Measures of central tendency, asymmetry, and variability/6.1 2.9. Variance_lesson.xlsx.xlsx
10 kB
4. Measures of central tendency, asymmetry, and variability/7. Variance. Exercise.html
81 B
4. Measures of central tendency, asymmetry, and variability/7.1 2.9. Variance_exercise.xlsx.xlsx
11 kB
4. Measures of central tendency, asymmetry, and variability/7.2 2.9. Variance_exercise_solution.xlsx.xlsx
11 kB
4. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.mp4
45 MB
4. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.srt
6.0 kB
4. Measures of central tendency, asymmetry, and variability/8.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx
11 kB
4. Measures of central tendency, asymmetry, and variability/9. Standard deviation.html
160 B
5. Practical example descriptive statistics/1. Practical example.mp4
160 MB
5. Practical example descriptive statistics/1. Practical example.srt
20 kB
5. Practical example descriptive statistics/1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx.xlsx
146 kB
5. Practical example descriptive statistics/2. Practical example descriptive statistics.html
81 B
5. Practical example descriptive statistics/2.1 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx
146 kB
5. Practical example descriptive statistics/2.2 2.13.Practical-example.Descriptive-statistics-exercise.xlsx.xlsx
120 kB
6. Distributions/1. Introduction to inferential statistics.mp4
16 MB
6. Distributions/1. Introduction to inferential statistics.srt
1.6 kB
6. Distributions/1.1 Course notes_inferential statistics.pdf.pdf
382 kB
6. Distributions/10. The central limit theorem.html
159 B
6. Distributions/11. Standard error.mp4
23 MB
6. Distributions/11. Standard error.srt
1.9 kB
6. Distributions/12. Standard error.html
160 B
6. Distributions/2. What is a distribution.mp4
62 MB
6. Distributions/2. What is a distribution.srt
5.8 kB
6. Distributions/2.1 3.2. What is a distribution_lesson.xlsx.xlsx
20 kB
6. Distributions/2.2 Course notes_inferential statistics.pdf.pdf
382 kB
6. Distributions/3. What is a distribution.html
159 B
6. Distributions/4. The Normal distribution.mp4
50 MB
6. Distributions/4. The Normal distribution.srt
5.0 kB
6. Distributions/5. The Normal distribution.html
159 B
6. Distributions/6. The standard normal distribution.mp4
22 MB
6. Distributions/6. The standard normal distribution.srt
3.9 kB
6. Distributions/6.1 3.4. Standard normal distribution_lesson.xlsx.xlsx
10 kB
6. Distributions/7. The standard normal distribution.html
160 B
6. Distributions/8. Standard Normal Distribution. Exercise.html
81 B
6. Distributions/8.1 3.4.Standard-normal-distribution-exercise.xlsx.xlsx
12 kB
6. Distributions/8.2 3.4.Standard-normal-distribution-exercise-solution.xlsx.xlsx
24 kB
6. Distributions/9. Understanding the central limit theorem.mp4
63 MB
6. Distributions/9. Understanding the central limit theorem.srt
5.5 kB
7. Estimators and estimates/1. Working with estimators and estimates.mp4
48 MB
7. Estimators and estimates/1. Working with estimators and estimates.srt
3.8 kB
7. Estimators and estimates/10. Calculating confidence intervals within a population with an unknown variance.mp4
32 MB
7. Estimators and estimates/10. Calculating confidence intervals within a population with an unknown variance.srt
5.1 kB
7. Estimators and estimates/10.1 3.11. The t-table.xlsx.xlsx
16 kB
7. Estimators and estimates/10.2 3.11. Population variance unknown, t-score_lesson.xlsx.xlsx
11 kB
7. Estimators and estimates/11. Population variance unknown. T-score. Exercise.html
81 B
7. Estimators and estimates/11.1 3.11. Population variance unknown, t-score_exercise.xlsx.xlsx
11 kB
7. Estimators and estimates/11.2 3.11. The t-table.xlsx.xlsx
16 kB
7. Estimators and estimates/11.3 3.11. Population variance unknown, t-score_exercise_solution.xlsx.xlsx
11 kB
7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.mp4
47 MB
7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.srt
6.7 kB
7. Estimators and estimates/13. Margin of error.html
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7. Estimators and estimates/2. Estimators and estimates.html
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7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.mp4
50 MB
7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.srt
3.0 kB
7. Estimators and estimates/4. Confidence intervals.html
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7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4
78 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.srt
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7. Estimators and estimates/5.1 3.9.The-z-table.xlsx.xlsx
26 kB
7. Estimators and estimates/5.2 3.9. Population variance known, z-score_lesson.xlsx.xlsx
11 kB
7. Estimators and estimates/6. Confidence intervals. Population variance known. Exercise.html
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7. Estimators and estimates/6.1 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx
11 kB
7. Estimators and estimates/6.2 3.9. Population variance known, z-score_exercise.xlsx.xlsx
11 kB
7. Estimators and estimates/6.3 3.9.The-z-table.xlsx.xlsx
26 kB
7. Estimators and estimates/7. Confidence interval clarifications.mp4
57 MB
7. Estimators and estimates/7. Confidence interval clarifications.srt
5.5 kB
7. Estimators and estimates/8. Student's T distribution.mp4
35 MB
7. Estimators and estimates/8. Student's T distribution.srt
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7. Estimators and estimates/9. Student's T distribution.html
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8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4
70 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.srt
7.9 kB
8. Confidence intervals advanced topics/1.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx
10 kB
8. Confidence intervals advanced topics/2. Confidence intervals. Two means. Dependent samples. Exercise.html
81 B
8. Confidence intervals advanced topics/2.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx
14 kB
8. Confidence intervals advanced topics/2.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx.xlsx
14 kB
8. Confidence intervals advanced topics/3. Calculating confidence intervals for two means with independent samples (part 1).mp4
29 MB
8. Confidence intervals advanced topics/3. Calculating confidence intervals for two means with independent samples (part 1).srt
5.9 kB
8. Confidence intervals advanced topics/3.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx
9.8 kB
8. Confidence intervals advanced topics/4. Confidence intervals. Two means. Independent samples (Part 1). Exercise.html
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8. Confidence intervals advanced topics/4.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx.xlsx
9.8 kB
8. Confidence intervals advanced topics/4.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx.xlsx
10 kB
8. Confidence intervals advanced topics/5. Calculating confidence intervals for two means with independent samples (part 2).mp4
27 MB
8. Confidence intervals advanced topics/5. Calculating confidence intervals for two means with independent samples (part 2).srt
4.4 kB
8. Confidence intervals advanced topics/5.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx
9.5 kB
8. Confidence intervals advanced topics/6. Confidence intervals. Two means. Independent samples (Part 2). Exercise.html
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8. Confidence intervals advanced topics/6.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx
9.2 kB
8. Confidence intervals advanced topics/6.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx.xlsx
9.8 kB
8. Confidence intervals advanced topics/7. Calculating confidence intervals for two means with independent samples (part 3).mp4
20 MB
8. Confidence intervals advanced topics/7. Calculating confidence intervals for two means with independent samples (part 3).srt
1.9 kB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4
103 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.srt
13 kB
9. Practical example inferential statistics/1.1 3.17. Practical example. Confidence intervals_lesson.xlsx.xlsx
1.7 MB
9. Practical example inferential statistics/2. Practical example inferential statistics.html
81 B
9. Practical example inferential statistics/2.1 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx.xlsx
1.8 MB
9. Practical example inferential statistics/2.2 3.17.Practical-example.Confidence-intervals-exercise.xlsx.xlsx
1.7 MB
Read Me.txt
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[FreeAllCourse.Com].url
52 B