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Udemy - Statistics for Data Science and Business Analysis [720p - WEB HD - H264 - AAC]
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Udemy - Statistics for Data Science and Business Analysis [720p - WEB HD - H264 - AAC]
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文件列表
17 Practical example_ regression analysis/087 Practical example_ regression analysis.mp4
44.5 MB
05 Practical example_ descriptive statistics/025 Practical example.mp4
43.3 MB
09 Practical example_ inferential statistics/049 Practical example_ inferential statistics.mp4
26.5 MB
12 Practical example_ hypothesis testing/064 Practical example_ hypothesis testing.mp4
20.9 MB
01 Introduction/001 What does the course cover_.mp4
13.3 MB
07 Estimators and estimates/036 Calculating confidence intervals within a population with a known variance.mp4
13.1 MB
14 Subtleties of regression analysis/078 Adjusted R-squared.mp4
12.5 MB
08 Confidence intervals_ advanced topics/042 Calculating confidence intervals for two means with dependent samples.mp4
12.0 MB
15 Assumptions for linear regression analysis/083 A3_ Normality and homoscedasticity.mp4
11.9 MB
02 Sample or population data_/002 Understanding the difference between a population and a sample.mp4
11.9 MB
03 The fundamentals of descriptive statistics/003 The various types of data we can work with.mp4
11.5 MB
04 Measures of central tendency_ asymmetry_ and variability/019 Standard deviation and coefficient of variation.mp4
11.3 MB
11 Hypothesis testing_ Let's start testing!/054 Test for the mean_ Population variance known.mp4
11.2 MB
07 Estimators and estimates/038 Student's T distribution.mp4
10.7 MB
07 Estimators and estimates/041 What is a margin of error and why is it important in Statistics_.mp4
10.7 MB
04 Measures of central tendency_ asymmetry_ and variability/013 The main measures of central tendency_ mean_ median_ mode.mp4
10.5 MB
13 The fundamentals of regression analysis/068 The linear regression model made easy.mp4
10.0 MB
15 Assumptions for linear regression analysis/082 A2_ No endogeneity.mp4
9.9 MB
10 Hypothesis testing_ Introduction/051 The null and the alternative hypothesis.mp4
9.8 MB
06 Distributions/032 Understanding the central limit theorem.mp4
9.6 MB
04 Measures of central tendency_ asymmetry_ and variability/017 Measuring how data is spread out_ calculating variance.mp4
9.4 MB
13 The fundamentals of regression analysis/071 A practical example - Reinforced learning.mp4
9.3 MB
03 The fundamentals of descriptive statistics/004 Levels of measurement.mp4
9.2 MB
03 The fundamentals of descriptive statistics/011 Cross tables and scatter plots.mp4
9.1 MB
14 Subtleties of regression analysis/073 What is R-squared and how does it help us_.mp4
8.7 MB
04 Measures of central tendency_ asymmetry_ and variability/023 The correlation coefficient.mp4
8.4 MB
16 Dealing with categorical data/086 Dummy variables.mp4
8.4 MB
11 Hypothesis testing_ Let's start testing!/061 Test for the mean_ Independent samples (Part 1).mp4
8.3 MB
10 Hypothesis testing_ Introduction/053 Type I error vs Type II error.mp4
8.0 MB
11 Hypothesis testing_ Let's start testing!/057 Test for the mean_ Population variance unknown.mp4
7.7 MB
11 Hypothesis testing_ Let's start testing!/059 Test for the mean_ Dependent samples.mp4
7.7 MB
10 Hypothesis testing_ Introduction/052 Establishing a rejection region and a significance level.mp4
7.6 MB
14 Subtleties of regression analysis/075 Studying regression tables.mp4
7.4 MB
08 Confidence intervals_ advanced topics/044 Calculating confidence intervals for two means with independent samples (part 1).mp4
7.4 MB
13 The fundamentals of regression analysis/067 Correlation and causation.mp4
7.4 MB
03 The fundamentals of descriptive statistics/005 Categorical variables_ Visualization techniques for categorical variables.mp4
7.2 MB
11 Hypothesis testing_ Let's start testing!/062 Test for the mean_ Independent samples (Part 2).mp4
7.1 MB
11 Hypothesis testing_ Let's start testing!/056 What is the p-value and why is it one of the most useful tool for statisticians_.mp4
6.9 MB
07 Estimators and estimates/039 Calculating confidence intervals within a population with an unknown variance.mp4
6.7 MB
07 Estimators and estimates/035 Confidence intervals - an invaluable tool for decision making.mp4
6.3 MB
08 Confidence intervals_ advanced topics/046 Calculating confidence intervals for two means with independent samples (part 2).mp4
6.3 MB
03 The fundamentals of descriptive statistics/007 Numerical variables_ Using a frequency distribution table.mp4
6.1 MB
04 Measures of central tendency_ asymmetry_ and variability/021 Calculating and understanding covariance.mp4
6.0 MB
06 Distributions/028 What is a distribution_.mp4
5.9 MB
06 Distributions/029 The Normal distribution.mp4
5.9 MB
15 Assumptions for linear regression analysis/084 A4_ No autocorrelation.mp4
5.7 MB
15 Assumptions for linear regression analysis/085 A5_ No multicollinearity.mp4
5.6 MB
04 Measures of central tendency_ asymmetry_ and variability/015 Measuring skewness.mp4
5.0 MB
14 Subtleties of regression analysis/074 The ordinary least squares setting and its practical applications.mp4
4.9 MB
07 Estimators and estimates/034 Working with estimators and estimates.mp4
4.9 MB
06 Distributions/030 The standard normal distribution.mp4
4.8 MB
14 Subtleties of regression analysis/077 The multivariate linear regression model.mp4
4.7 MB
03 The fundamentals of descriptive statistics/009 Histogram charts.mp4
4.5 MB
14 Subtleties of regression analysis/072 Decomposing the linear regression model - understanding its nuts and bolts.mp4
3.9 MB
15 Assumptions for linear regression analysis/080 OLS assumptions.mp4
3.7 MB
14 Subtleties of regression analysis/079 What does the F-statistic show us and why we need to understand it_.mp4
3.2 MB
06 Distributions/033 Standard error.mp4
3.2 MB
15 Assumptions for linear regression analysis/081 A1_ Linearity.mp4
2.7 MB
06 Distributions/027 Introduction to inferential statistics.mp4
2.6 MB
08 Confidence intervals_ advanced topics/048 Calculating confidence intervals for two means with independent samples (part 3).mp4
2.4 MB
13 The fundamentals of regression analysis/069 What is the difference between correlation and regression_.mp4
2.2 MB
13 The fundamentals of regression analysis/066 Introduction to regression analysis.mp4
1.9 MB
09 Practical example_ inferential statistics/049 3.17.Practical-example.Confidence-intervals-lesson.xlsx
1.8 MB
09 Practical example_ inferential statistics/050 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx
1.8 MB
13 The fundamentals of regression analysis/070 A geometrical representation of the linear regression model.mp4
1.8 MB
11 Hypothesis testing_ Let's start testing!/056 Online-p-value-calculator.pdf
1.3 MB
06 Distributions/027 Course-notes-inferential-statistics.pdf
1.0 MB
06 Distributions/028 Course-notes-inferential-statistics.pdf
1.0 MB
02 Sample or population data_/002 Course-notes-descriptive-statistics.pdf
853.5 kB
03 The fundamentals of descriptive statistics/003 Course-notes-descriptive-statistics.pdf
853.5 kB
05 Practical example_ descriptive statistics/025 2.13.Practical-example.Descriptive-statistics-lesson.xlsx
150.4 kB
05 Practical example_ descriptive statistics/026 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx
150.0 kB
12 Practical example_ hypothesis testing/064 4.10.Hypothesis-testing-section-practical-example.xlsx
53.2 kB
12 Practical example_ hypothesis testing/065 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx
44.4 kB
03 The fundamentals of descriptive statistics/006 2.3.Categorical-variables.Visualization-techniques-exercise-solution.xlsx
42.1 kB
03 The fundamentals of descriptive statistics/012 2.6.Cross-table-and-scatter-plot-exercise-solution.xlsx
41.4 kB
04 Measures of central tendency_ asymmetry_ and variability/015 2.8.Skewness-lesson.xlsx
35.5 kB
13 The fundamentals of regression analysis/071 5.6.Example-lesson.xlsx
32.0 kB
03 The fundamentals of descriptive statistics/005 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx
31.0 kB
04 Measures of central tendency_ asymmetry_ and variability/022 2.11.Covariance-exercise-solution.xlsx
30.2 kB
04 Measures of central tendency_ asymmetry_ and variability/024 2.12.Correlation-exercise-solution.xlsx
30.2 kB
03 The fundamentals of descriptive statistics/011 2.6.Cross-table-and-scatter-plot.xlsx
26.7 kB
04 Measures of central tendency_ asymmetry_ and variability/023 2.12.Correlation-lesson.xlsx
25.6 kB
04 Measures of central tendency_ asymmetry_ and variability/021 2.11.Covariance-lesson.xlsx
25.5 kB
16 Dealing with categorical data/086 5.20.Dummy-variables-lesson.xlsx
24.5 kB
06 Distributions/031 3.4.Standard-normal-distribution-exercise-solution.xlsx
24.3 kB
05 Practical example_ descriptive statistics/025 Practical example-subtitle-en.srt
20.5 kB
01 Introduction/001 Glossary.xlsx
20.4 kB
04 Measures of central tendency_ asymmetry_ and variability/016 2.8.Skewness-exercise-solution.xlsx
20.2 kB
03 The fundamentals of descriptive statistics/009 2.5.The-Histogram-lesson.xlsx
19.1 kB
07 Estimators and estimates/036 3.9.The-z-table.xlsx
18.9 kB
07 Estimators and estimates/037 3.9.The-z-table.xlsx
18.9 kB
17 Practical example_ regression analysis/087 Practical example_ regression analysis-subtitle-en.srt
18.0 kB
05 Practical example_ descriptive statistics/025 Practical example-subtitle-en.vtt
17.7 kB
03 The fundamentals of descriptive statistics/010 2.5.The-Histogram-exercise-solution.xlsx
17.2 kB
07 Estimators and estimates/039 3.11.The-t-table.xlsx
16.2 kB
07 Estimators and estimates/040 3.11.The-t-table.xlsx
16.2 kB
17 Practical example_ regression analysis/087 Practical example_ regression analysis-subtitle-en.vtt
15.6 kB
11 Hypothesis testing_ Let's start testing!/060 4.7.Test-for-the-mean.Dependent-samples-exercise-solution.xlsx
14.7 kB
11 Hypothesis testing_ Let's start testing!/057 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx
14.7 kB
08 Confidence intervals_ advanced topics/043 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise-solution.xlsx
14.6 kB
14 Subtleties of regression analysis/078 5.12.Adjusted-R-squared-lesson.xlsx
14.3 kB
09 Practical example_ inferential statistics/049 Practical example_ inferential statistics-subtitle-en.srt
13.5 kB
03 The fundamentals of descriptive statistics/008 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx
13.2 kB
14 Subtleties of regression analysis/076 5.10.Regression-tables-exercise-solution.xlsx
12.8 kB
04 Measures of central tendency_ asymmetry_ and variability/020 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx
12.7 kB
14 Subtleties of regression analysis/075 5.10.Regression-tables-lesson.xlsx
12.7 kB
11 Hypothesis testing_ Let's start testing!/058 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx
12.1 kB
09 Practical example_ inferential statistics/049 Practical example_ inferential statistics-subtitle-en.vtt
11.7 kB
04 Measures of central tendency_ asymmetry_ and variability/014 2.7.Mean-median-and-mode-exercise-solution.xlsx
11.6 kB
11 Hypothesis testing_ Let's start testing!/055 4.4.Test-for-the-mean.Population-variance-known-exercise-solution.xlsx
11.5 kB
04 Measures of central tendency_ asymmetry_ and variability/018 2.9.Variance-exercise-solution.xlsx
11.3 kB
03 The fundamentals of descriptive statistics/007 2.4.Numerical-variables.Frequency-distribution-table-lesson.xlsx
11.3 kB
04 Measures of central tendency_ asymmetry_ and variability/019 2.10.Standard-deviation-and-coefficient-of-variation-lesson.xlsx
11.2 kB
11 Hypothesis testing_ Let's start testing!/054 4.4.Test-for-the-mean.Population-variance-known-lesson.xlsx
11.2 kB
13 The fundamentals of regression analysis/067 5.2.Correlation-and-causation-lesson.xlsx
10.9 kB
04 Measures of central tendency_ asymmetry_ and variability/013 2.7.Mean-median-and-mode-lesson.xlsx
10.7 kB
08 Confidence intervals_ advanced topics/042 3.13.Confidence-intervals.Two-means.Dependent-samples-lesson.xlsx
10.7 kB
06 Distributions/030 3.4.Standard-normal-distribution-lesson.xlsx
10.6 kB
11 Hypothesis testing_ Let's start testing!/063 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-solution.xlsx
10.5 kB
08 Confidence intervals_ advanced topics/045 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise-solution.xlsx
10.4 kB
04 Measures of central tendency_ asymmetry_ and variability/017 2.9.Variance-lesson.xlsx
10.3 kB
08 Confidence intervals_ advanced topics/044 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-lesson.xlsx
10.1 kB
08 Confidence intervals_ advanced topics/047 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise-solution.xlsx
10.0 kB
11 Hypothesis testing_ Let's start testing!/059 4.7.Test-for-the-mean.Dependent-samples-lesson.xlsx
10.0 kB
11 Hypothesis testing_ Let's start testing!/061 4.8.Test-for-the-mean.Independent-samples-Part-1-lesson.xlsx
9.9 kB
08 Confidence intervals_ advanced topics/046 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-lesson.xlsx
9.7 kB
11 Hypothesis testing_ Let's start testing!/062 4.9.Test-for-the-mean.Independent-samples-Part-2-lesson.xlsx
9.5 kB
12 Practical example_ hypothesis testing/064 Practical example_ hypothesis testing-subtitle-en.srt
8.7 kB
07 Estimators and estimates/036 Calculating confidence intervals within a population with a known variance-subtitle-en.srt
8.6 kB
11 Hypothesis testing_ Let's start testing!/054 Test for the mean_ Population variance known-subtitle-en.srt
8.4 kB
04 Measures of central tendency_ asymmetry_ and variability/017 Measuring how data is spread out_ calculating variance-subtitle-en.srt
7.8 kB
12 Practical example_ hypothesis testing/064 Practical example_ hypothesis testing-subtitle-en.vtt
7.6 kB
13 The fundamentals of regression analysis/071 A practical example - Reinforced learning-subtitle-en.srt
7.6 kB
07 Estimators and estimates/036 Calculating confidence intervals within a population with a known variance-subtitle-en.vtt
7.6 kB
11 Hypothesis testing_ Let's start testing!/054 Test for the mean_ Population variance known-subtitle-en.vtt
7.3 kB
13 The fundamentals of regression analysis/068 The linear regression model made easy-subtitle-en.srt
7.2 kB
15 Assumptions for linear regression analysis/083 A3_ Normality and homoscedasticity-subtitle-en.srt
7.1 kB
10 Hypothesis testing_ Introduction/051 The null and the alternative hypothesis-subtitle-en.srt
6.9 kB
03 The fundamentals of descriptive statistics/011 Cross tables and scatter plots-subtitle-en.srt
6.9 kB
04 Measures of central tendency_ asymmetry_ and variability/017 Measuring how data is spread out_ calculating variance-subtitle-en.vtt
6.9 kB
04 Measures of central tendency_ asymmetry_ and variability/019 Standard deviation and coefficient of variation-subtitle-en.srt
6.7 kB
14 Subtleties of regression analysis/073 What is R-squared and how does it help us_-subtitle-en.srt
6.7 kB
14 Subtleties of regression analysis/078 Adjusted R-squared-subtitle-en.srt
6.6 kB
13 The fundamentals of regression analysis/071 A practical example - Reinforced learning-subtitle-en.vtt
6.6 kB
16 Dealing with categorical data/086 Dummy variables-subtitle-en.srt
6.6 kB
11 Hypothesis testing_ Let's start testing!/059 Test for the mean_ Dependent samples-subtitle-en.srt
6.6 kB
08 Confidence intervals_ advanced topics/042 Calculating confidence intervals for two means with dependent samples-subtitle-en.srt
6.4 kB
07 Estimators and estimates/041 What is a margin of error and why is it important in Statistics_-subtitle-en.srt
6.4 kB
08 Confidence intervals_ advanced topics/044 Calculating confidence intervals for two means with independent samples (part 1)-subtitle-en.srt
6.3 kB
13 The fundamentals of regression analysis/068 The linear regression model made easy-subtitle-en.vtt
6.3 kB
02 Sample or population data_/002 Understanding the difference between a population and a sample-subtitle-en.srt
6.2 kB
11 Hypothesis testing_ Let's start testing!/057 Test for the mean_ Population variance unknown-subtitle-en.srt
6.2 kB
15 Assumptions for linear regression analysis/083 A3_ Normality and homoscedasticity-subtitle-en.vtt
6.1 kB
04 Measures of central tendency_ asymmetry_ and variability/013 The main measures of central tendency_ mean_ median_ mode-subtitle-en.srt
6.1 kB
10 Hypothesis testing_ Introduction/051 The null and the alternative hypothesis-subtitle-en.vtt
6.1 kB
03 The fundamentals of descriptive statistics/011 Cross tables and scatter plots-subtitle-en.vtt
6.0 kB
14 Subtleties of regression analysis/075 Studying regression tables-subtitle-en.srt
6.0 kB
07 Estimators and estimates/039 Calculating confidence intervals within a population with an unknown variance-subtitle-en.srt
5.9 kB
14 Subtleties of regression analysis/073 What is R-squared and how does it help us_-subtitle-en.vtt
5.9 kB
13 The fundamentals of regression analysis/067 Correlation and causation-subtitle-en.srt
5.9 kB
04 Measures of central tendency_ asymmetry_ and variability/019 Standard deviation and coefficient of variation-subtitle-en.vtt
5.9 kB
10 Hypothesis testing_ Introduction/052 Establishing a rejection region and a significance level-subtitle-en.srt
5.8 kB
14 Subtleties of regression analysis/078 Adjusted R-squared-subtitle-en.vtt
5.8 kB
04 Measures of central tendency_ asymmetry_ and variability/023 The correlation coefficient-subtitle-en.srt
5.8 kB
11 Hypothesis testing_ Let's start testing!/059 Test for the mean_ Dependent samples-subtitle-en.vtt
5.8 kB
16 Dealing with categorical data/086 Dummy variables-subtitle-en.vtt
5.8 kB
08 Confidence intervals_ advanced topics/042 Calculating confidence intervals for two means with dependent samples-subtitle-en.vtt
5.7 kB
02 Sample or population data_/002 Understanding the difference between a population and a sample-subtitle-en.vtt
5.7 kB
07 Estimators and estimates/041 What is a margin of error and why is it important in Statistics_-subtitle-en.vtt
5.6 kB
03 The fundamentals of descriptive statistics/005 Categorical variables_ Visualization techniques for categorical variables-subtitle-en.srt
5.6 kB
08 Confidence intervals_ advanced topics/044 Calculating confidence intervals for two means with independent samples (part 1)-subtitle-en.vtt
5.5 kB
15 Assumptions for linear regression analysis/082 A2_ No endogeneity-subtitle-en.srt
5.4 kB
11 Hypothesis testing_ Let's start testing!/062 Test for the mean_ Independent samples (Part 2)-subtitle-en.srt
5.4 kB
11 Hypothesis testing_ Let's start testing!/057 Test for the mean_ Population variance unknown-subtitle-en.vtt
5.4 kB
04 Measures of central tendency_ asymmetry_ and variability/013 The main measures of central tendency_ mean_ median_ mode-subtitle-en.vtt
5.3 kB
11 Hypothesis testing_ Let's start testing!/061 Test for the mean_ Independent samples (Part 1)-subtitle-en.srt
5.3 kB
06 Distributions/032 Understanding the central limit theorem-subtitle-en.srt
5.3 kB
14 Subtleties of regression analysis/075 Studying regression tables-subtitle-en.vtt
5.2 kB
11 Hypothesis testing_ Let's start testing!/056 What is the p-value and why is it one of the most useful tool for statisticians_-subtitle-en.srt
5.2 kB
07 Estimators and estimates/039 Calculating confidence intervals within a population with an unknown variance-subtitle-en.vtt
5.1 kB
13 The fundamentals of regression analysis/067 Correlation and causation-subtitle-en.vtt
5.1 kB
10 Hypothesis testing_ Introduction/052 Establishing a rejection region and a significance level-subtitle-en.vtt
5.1 kB
04 Measures of central tendency_ asymmetry_ and variability/023 The correlation coefficient-subtitle-en.vtt
5.1 kB
06 Distributions/029 The Normal distribution-subtitle-en.srt
4.9 kB
06 Distributions/028 What is a distribution_-subtitle-en.srt
4.9 kB
01 Introduction/001 What does the course cover_-subtitle-en.srt
4.9 kB
04 Measures of central tendency_ asymmetry_ and variability/021 Calculating and understanding covariance-subtitle-en.srt
4.9 kB
03 The fundamentals of descriptive statistics/005 Categorical variables_ Visualization techniques for categorical variables-subtitle-en.vtt
4.9 kB
10 Hypothesis testing_ Introduction/053 Type I error vs Type II error-subtitle-en.srt
4.8 kB
08 Confidence intervals_ advanced topics/046 Calculating confidence intervals for two means with independent samples (part 2)-subtitle-en.srt
4.8 kB
15 Assumptions for linear regression analysis/082 A2_ No endogeneity-subtitle-en.vtt
4.7 kB
11 Hypothesis testing_ Let's start testing!/062 Test for the mean_ Independent samples (Part 2)-subtitle-en.vtt
4.7 kB
15 Assumptions for linear regression analysis/085 A5_ No multicollinearity-subtitle-en.srt
4.7 kB
11 Hypothesis testing_ Let's start testing!/061 Test for the mean_ Independent samples (Part 1)-subtitle-en.vtt
4.6 kB
11 Hypothesis testing_ Let's start testing!/056 What is the p-value and why is it one of the most useful tool for statisticians_-subtitle-en.vtt
4.6 kB
06 Distributions/032 Understanding the central limit theorem-subtitle-en.vtt
4.6 kB
15 Assumptions for linear regression analysis/084 A4_ No autocorrelation-subtitle-en.srt
4.6 kB
07 Estimators and estimates/038 Student's T distribution-subtitle-en.srt
4.4 kB
03 The fundamentals of descriptive statistics/003 The various types of data we can work with-subtitle-en.srt
4.4 kB
01 Introduction/001 What does the course cover_-subtitle-en.vtt
4.4 kB
06 Distributions/029 The Normal distribution-subtitle-en.vtt
4.4 kB
03 The fundamentals of descriptive statistics/007 Numerical variables_ Using a frequency distribution table-subtitle-en.srt
4.3 kB
04 Measures of central tendency_ asymmetry_ and variability/021 Calculating and understanding covariance-subtitle-en.vtt
4.3 kB
06 Distributions/028 What is a distribution_-subtitle-en.vtt
4.3 kB
10 Hypothesis testing_ Introduction/053 Type I error vs Type II error-subtitle-en.vtt
4.2 kB
08 Confidence intervals_ advanced topics/046 Calculating confidence intervals for two means with independent samples (part 2)-subtitle-en.vtt
4.2 kB
15 Assumptions for linear regression analysis/085 A5_ No multicollinearity-subtitle-en.vtt
4.1 kB
15 Assumptions for linear regression analysis/084 A4_ No autocorrelation-subtitle-en.vtt
4.0 kB
07 Estimators and estimates/038 Student's T distribution-subtitle-en.vtt
3.9 kB
03 The fundamentals of descriptive statistics/003 The various types of data we can work with-subtitle-en.vtt
3.9 kB
03 The fundamentals of descriptive statistics/004 Levels of measurement-subtitle-en.srt
3.8 kB
04 Measures of central tendency_ asymmetry_ and variability/015 Measuring skewness-subtitle-en.srt
3.8 kB
06 Distributions/030 The standard normal distribution-subtitle-en.srt
3.8 kB
03 The fundamentals of descriptive statistics/007 Numerical variables_ Using a frequency distribution table-subtitle-en.vtt
3.8 kB
14 Subtleties of regression analysis/077 The multivariate linear regression model-subtitle-en.srt
3.5 kB
07 Estimators and estimates/034 Working with estimators and estimates-subtitle-en.srt
3.5 kB
03 The fundamentals of descriptive statistics/004 Levels of measurement-subtitle-en.vtt
3.4 kB
04 Measures of central tendency_ asymmetry_ and variability/015 Measuring skewness-subtitle-en.vtt
3.3 kB
03 The fundamentals of descriptive statistics/009 Histogram charts-subtitle-en.srt
3.3 kB
06 Distributions/030 The standard normal distribution-subtitle-en.vtt
3.3 kB
07 Estimators and estimates/035 Confidence intervals - an invaluable tool for decision making-subtitle-en.srt
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14 Subtleties of regression analysis/072 Decomposing the linear regression model - understanding its nuts and bolts-subtitle-en.srt
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15 Assumptions for linear regression analysis/080 OLS assumptions-subtitle-en.srt
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14 Subtleties of regression analysis/077 The multivariate linear regression model-subtitle-en.vtt
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07 Estimators and estimates/034 Working with estimators and estimates-subtitle-en.vtt
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03 The fundamentals of descriptive statistics/009 Histogram charts-subtitle-en.vtt
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07 Estimators and estimates/035 Confidence intervals - an invaluable tool for decision making-subtitle-en.vtt
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14 Subtleties of regression analysis/074 The ordinary least squares setting and its practical applications-subtitle-en.srt
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14 Subtleties of regression analysis/079 What does the F-statistic show us and why we need to understand it_-subtitle-en.srt
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15 Assumptions for linear regression analysis/080 OLS assumptions-subtitle-en.vtt
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14 Subtleties of regression analysis/072 Decomposing the linear regression model - understanding its nuts and bolts-subtitle-en.vtt
2.7 kB
14 Subtleties of regression analysis/074 The ordinary least squares setting and its practical applications-subtitle-en.vtt
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14 Subtleties of regression analysis/079 What does the F-statistic show us and why we need to understand it_-subtitle-en.vtt
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15 Assumptions for linear regression analysis/081 A1_ Linearity-subtitle-en.srt
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08 Confidence intervals_ advanced topics/048 Calculating confidence intervals for two means with independent samples (part 3)-subtitle-en.srt
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15 Assumptions for linear regression analysis/081 A1_ Linearity-subtitle-en.vtt
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13 The fundamentals of regression analysis/069 What is the difference between correlation and regression_-subtitle-en.srt
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06 Distributions/033 Standard error-subtitle-en.srt
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06 Distributions/027 Introduction to inferential statistics-subtitle-en.srt
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08 Confidence intervals_ advanced topics/048 Calculating confidence intervals for two means with independent samples (part 3)-subtitle-en.vtt
1.8 kB
13 The fundamentals of regression analysis/069 What is the difference between correlation and regression_-subtitle-en.vtt
1.8 kB
13 The fundamentals of regression analysis/070 A geometrical representation of the linear regression model-subtitle-en.srt
1.8 kB
06 Distributions/033 Standard error-subtitle-en.vtt
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06 Distributions/027 Introduction to inferential statistics-subtitle-en.vtt
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13 The fundamentals of regression analysis/070 A geometrical representation of the linear regression model-subtitle-en.vtt
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13 The fundamentals of regression analysis/066 Introduction to regression analysis-subtitle-en.srt
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13 The fundamentals of regression analysis/066 Introduction to regression analysis-subtitle-en.vtt
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08 Confidence intervals_ advanced topics/045 Confidence intervals_ Two means_ Independent samples (Part 1)_ Exercise.html
1.3 kB
08 Confidence intervals_ advanced topics/047 Confidence intervals_ Two means_ Independent samples (Part 2)_ Exercise.html
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03 The fundamentals of descriptive statistics/008 Numerical variables_ Using a frequency distribution table_ Exercise.html
1.3 kB
08 Confidence intervals_ advanced topics/043 Confidence intervals_ Two means_ Dependent samples_ Exercise.html
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03 The fundamentals of descriptive statistics/006 Categorical variables_ Visualization techniques_ Exercise.html
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07 Estimators and estimates/037 Confidence intervals_ Population variance known_ Exercise.html
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04 Measures of central tendency_ asymmetry_ and variability/020 Standard deviation and coefficient of variation_ Exercise.html
1.3 kB
11 Hypothesis testing_ Let's start testing!/063 Test for the mean_ Independent samples (Part 2)_ Exercise.html
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11 Hypothesis testing_ Let's start testing!/055 Test for the mean_ Population variance known_ Exercise.html
1.3 kB
07 Estimators and estimates/040 Population variance unknown_ T-score_ Exercise.html
1.3 kB
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05 Practical example_ descriptive statistics/026 Practical example_ descriptive statistics.html
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09 Practical example_ inferential statistics/050 Practical example_ inferential statistics.html
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03 The fundamentals of descriptive statistics/012 Cross tables and scatter plots_ Exercise.html
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06 Distributions/031 Standard Normal Distribution_ Exercise.html
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12 Practical example_ hypothesis testing/065 Practical example_ hypothesis testing.html
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04 Measures of central tendency_ asymmetry_ and variability/014 Mean_ median_ mode_ Exercise.html
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14 Subtleties of regression analysis/076 Regression tables_ Exercise.html
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04 Measures of central tendency_ asymmetry_ and variability/024 Correlation coefficient.html
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04 Measures of central tendency_ asymmetry_ and variability/022 Covariance_ Exercise.html
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04 Measures of central tendency_ asymmetry_ and variability/018 Variance_ Exercise.html
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