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11. Hypothesis Testing/1. Distributions.mp4 112.1 MB
11. Hypothesis Testing/3. Hypothesis testing.mp4 86.2 MB
11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4 68.9 MB
11. Hypothesis Testing/7. The P-value.mp4 63.6 MB
11. Hypothesis Testing/5. Test for the mean - population variance known.mp4 61.5 MB
12. Linear Regression Analysis/1. The linear regression model.mp4 60.3 MB
11. Hypothesis Testing/8. Test for the mean - Population variance unknown.mp4 57.4 MB
6. Fundamentals of programming with R/16. Building a function in R 2.0 - Scoping.mp4 54.3 MB
12. Linear Regression Analysis/5. How to interpret the regression table.mp4 52.7 MB
5. Matrices/18. Lists in R.mp4 52.7 MB
11. Hypothesis Testing/10. Comparing two means - Dependent samples.mp4 51.6 MB
12. Linear Regression Analysis/7. Decomposition of variability SST, SSR, SSE.mp4 51.6 MB
1. Introduction/1. Ten Things You Will Learn in This Course.mp4 51.3 MB
11. Hypothesis Testing/12. Comparing two means - Independent samples.mp4 46.5 MB
3. The building blocks of R/1. Creating an object in R.mp4 46.1 MB
11. Hypothesis Testing/4. Type I and Type II errors.mp4 43.7 MB
12. Linear Regression Analysis/4. First regression in R.mp4 39.8 MB
12. Linear Regression Analysis/8. R-squared.mp4 36.1 MB
6. Fundamentals of programming with R/15. Building a function in R 2.0.mp4 33.3 MB
5. Matrices/14. Categorical data.mp4 32.3 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Statistics & Mathematics for Data Science & Data Analytics.zip

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【影视】 [Udemy] Statistics & Mathematics for Data Science in Python [2020, ENG]

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5. Confidence Intervals & Hypothesis Testing/7. Normal Data Quantitative Confidence Intervals.mp4 29.4 MB
6. Regression & Predictions/3. Preparation Part 2 Categorical Coding & Data Splitting.mp4 27.0 MB
5. Confidence Intervals & Hypothesis Testing/6. Normal Data Categorical Confidence Intervals.mp4 26.7 MB
5. Confidence Intervals & Hypothesis Testing/9. Non-Normal Data & Bootstrap.mp4 24.5 MB
6. Regression & Predictions/10. Model Comparison Tool.mp4 23.0 MB
7. Classification Modeling/9. Model Comparison Tool.mp4 21.9 MB
6. Regression & Predictions/4. Linear Regression.mp4 21.7 MB
8. Natural Language Processing/8. Cosine Similarity Between Texts.mp4 20.8 MB
2. Vocabulary & Descriptive Statistics/3. Variable Types within Data.mp4 20.1 MB
6. Regression & Predictions/2. Preparation Part 1 Loading & Exploring Diamonds Data.mp4 19.3 MB
6. Regression & Predictions/11. Model Hyper Tuning & Optimization.mp4 18.3 MB
3. Distribution Types/7. Fitting Distributions - Advanced.mp4 17.9 MB
2. Vocabulary & Descriptive Statistics/4. Summarizing Data with Counts.mp4 17.7 MB
5. Confidence Intervals & Hypothesis Testing/5. Normal DataProbability Plots with Means.mp4 17.5 MB
2. Vocabulary & Descriptive Statistics/5. Measures of Center, Essential Analytics.mp4 16.9 MB
4. Inferential Statistics with Visualizations/6. Advanced Visualizations.mp4 16.7 MB
7. Classification Modeling/3. Preparation Part 2 Cleaning & Preparing Penguins Data.mp4 16.7 MB
3. Distribution Types/6. Normal Distribution.mp4 15.8 MB
5. Confidence Intervals & Hypothesis Testing/8. ANOVA.mp4 15.1 MB
4. Inferential Statistics with Visualizations/2. Bar Charts.mp4 15.1 MB

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【压缩文件】 [ DevCourseWeb.com ] Probability, Statistics, and Random Signals.zip

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【影视】 [Udemy] Statistics for Data Science and Business Analysis (2020)

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05 Practical example descriptive statistics/026 Practical example.mp4 168.3 MB
17 Practical example regression analysis/091 Practical example regression analysis.mp4 135.6 MB
09 Practical example inferential statistics/051 Practical example inferential statistics.mp4 107.6 MB
10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.mp4 96.6 MB
10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.mp4 86.5 MB
07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
03 The fundamentals of descriptive statistics/004 The various types of data we can work with.mp4 76.1 MB
08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12 Practical example hypothesis testing/068 Practical example hypothesis testing.mp4 72.7 MB
01 Introduction/001 What does the course cover.mp4 72.0 MB
06 Distributions/033 Understanding the central limit theorem.mp4 65.9 MB
06 Distributions/029 What is a distribution.mp4 64.6 MB
02 Sample or population data/003 Understanding the difference between a population and a sample.mp4 60.9 MB
07 Estimators and estimates/039 Confidence interval clarifications.mp4 59.9 MB
11 Hypothesis testing Lets start testing/059 What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
03 The fundamentals of descriptive statistics/005 Levels of measurement.mp4 57.0 MB
11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.mp4 56.9 MB
13 The fundamentals of regression analysis/072 The linear regression model made easy.mp4 53.5 MB
04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.mp4 53.4 MB
11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.mp4 52.9 MB

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【影视】 Statistics Fundamentals and its Applications

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[TutsNode.com] - Statistics Fundamentals and its Applications/8. Ogives OR Cumulative Frequency Curves/1. Ogives and Its Uses to find out the Partion Values Graphically.mp4 100.2 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/5. Harmonic Mean/1. Calculation & Application of Harmonic Mean.mp4 51.8 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/1. Introduction/6. Theorems.mp4 49.0 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/3. Median/3. Median Case 3.mp4 41.5 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/7. Partition Values/1. Quartiles.mp4 41.0 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/13. Skewness/1. Skewness.mp4 40.0 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/7. Partition Values/2. Numerical Set on Quartiles.mp4 37.7 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/1. Introduction/5. Effect of Change of Origin & Scale on AM.mp4 34.6 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/3. Median/2. Median Case 2.mp4 34.5 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/10. Measures of Dispersion/3. Example on Mean & Standard Deviation.mp4 34.1 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/1. Introduction/3. Arithmetic Mean.mp4 33.3 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/12. Moments/1. Moments.mp4 28.4 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/3. Median/4. Numerical Set on Median.mp4 27.9 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/2. Geometric Mean & it's Applications/2. Geometric Mean Case 2.mp4 26.2 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/2. Geometric Mean & it's Applications/3. Geometric Mean for Combined Series.mp4 24.2 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/7. Partition Values/4. Deciles.mp4 23.8 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/9. Dispersion/1. Need and Definition of Dispersion.mp4 23.6 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/1. Introduction/4. Arithmetic Mean Numerical.mp4 22.5 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/10. Measures of Dispersion/2. Standard Deviation & Variance.mp4 22.5 MB
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【安装包】 IBM SPSS Statistics 26.0 IF006 + Crack [TheWindowsForum]

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IBM SPSS Statistics 26.0 IF006.exe 220.8 MB
www.FENOPY.se.jpg 106.9 kB
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11. Hypothesis Testing/1. Distributions.mp4 112.1 MB
11. Hypothesis Testing/3. Hypothesis testing.mp4 86.2 MB
11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4 68.8 MB
11. Hypothesis Testing/7. The P-value.mp4 63.6 MB
11. Hypothesis Testing/5. Test for the mean - population variance known.mp4 61.5 MB
12. Linear Regression Analysis/1. The linear regression model.mp4 60.3 MB
11. Hypothesis Testing/8. Test for the mean - Population variance unknown.mp4 57.4 MB
6. Fundamentals of programming with R/16. Building a function in R 2.0 - Scoping.mp4 54.3 MB
12. Linear Regression Analysis/5. How to interpret the regression table.mp4 52.7 MB
5. Matrices/18. Lists in R.mp4 52.7 MB
11. Hypothesis Testing/10. Comparing two means - Dependent samples.mp4 51.6 MB
12. Linear Regression Analysis/7. Decomposition of variability SST, SSR, SSE.mp4 51.6 MB
1. Introduction/1. Ten Things You Will Learn in This Course.mp4 51.3 MB
11. Hypothesis Testing/12. Comparing two means - Independent samples.mp4 46.5 MB
3. The building blocks of R/1. Creating an object in R.mp4 46.1 MB
11. Hypothesis Testing/4. Type I and Type II errors.mp4 43.7 MB
12. Linear Regression Analysis/4. First regression in R.mp4 39.8 MB
12. Linear Regression Analysis/8. R-squared.mp4 36.1 MB
6. Fundamentals of programming with R/15. Building a function in R 2.0.mp4 33.3 MB
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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.5 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 65.9 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 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 58.6 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 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
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【影视】 [DesireCourse.Net] Udemy - Statistics for Data Science and Business Analysis

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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.6 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 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 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB

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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.6 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.8 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 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 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB

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