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Download Torrent "Udemy | Statistics for Data Science and Business Analysis [FTU]"

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Title:Udemy | Statistics for Data Science and Business Analysis [FTU]
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Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis

BESTSELLER

Created by: 365 Careers, 365 Careers Team
Last updated: 10/2019
Language: English
Subs + Caption: Included
Torrent Contains: 363 Files, 19 Folders
Course Source: https://www.udemy.com/course/statistics-for-data-science-and-business-analysis/

What you'll learn

• Understand the fundamentals of statistics
• Learn how to work with different types of data
• How to plot different types of data
• Calculate the measures of central tendency, asymmetry, and variability
• Calculate correlation and covariance
• Distinguish and work with different types of distributions
• Estimate confidence intervals
• Perform hypothesis testing
• Make data driven decisions
• Understand the mechanics of regression analysis
• Carry out regression analysis
• Use and understand dummy variables
• Understand the concepts needed for data science even with Python and R!

Course content
all 92 lectures 04:52:03

Requirements

• Absolutely no experience is required. We will start from the basics and gradually build up your knowledge. Everything is in the course.
• A willingness to learn and practice

Description

Is statistics a driving force in the industry you want to enter? Do you want to work as a Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist?

Well then, you’ve come to the right place! 

Statistics for Data Science and Business Analysis is here for you with TEMPLATES in Excel included! 

This is where you start. And it is the perfect beginning! 

In no time, you will acquire the fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations. We have created a course that is:  

• Easy to understand 
• Comprehensive 
• Practical 
• To the point 
• Packed with plenty of exercises and resources  
• Data-driven 
• Introduces you to the statistical scientific lingo 
• Teaches you about data visualization 
• Shows you the main pillars of quant research 

It is no secret that a lot of these topics have been explained online. Thousands of times. However, it is next to impossible to find a structured program that gives you an understanding of why certain statistical tests are being used so often. Modern software packages and programming languages are automating most of these activities, but this course gives you something more valuable – critical thinking abilities. Computers and programming languages are like ships at sea. They are fine vessels that will carry you to the desired destination, but it is up to you, the aspiring data scientist or BI analyst, to navigate and point them in the right direction.  

Teaching is our passion

We worked hard for over four months to create the best possible Statistics course which would deliver the most value to you. We want you to succeed, which is why the course aims to be as engaging as possible. High-quality animations, superb course materials, quiz questions, handouts and course notes, as well as a glossary with all new terms you will learn, are just some of the perks you will get by subscribing.  

What makes this course different from the rest of the Statistics courses out there?

• High-quality production – HD video and animations (This isn’t a collection of boring lectures!) 

• Knowledgeable instructor (An adept mathematician and statistician who has competed at an international level)  

• Complete training – we will cover all major statistical topics and skills you need to become a marketing analyst, a business intelligence analyst, a data analyst, or a data scientist 

• Extensive Case Studies that will help you reinforce everything you’ve learned 

• Excellent support - if you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day 

• Dynamic - we don’t want to waste your time! The instructor sets a very good pace throughout the whole course

Why do you need these skills?

1. Salary/Income – careers in the field of data science are some of the most popular in the corporate world today. And, given that most businesses are starting to realize the advantages of working with the data at their disposal, this trend will only continue to grow 

2. Promotions – If you understand Statistics well, you will be able to back up your business ideas with quantitative evidence, which is an easy path to career growth 

3. Secure Future – as we said, the demand for people who understand numbers and data, and can interpret it, is growing exponentially; you’ve probably heard of the number of jobs that will be automated soon, right? Well, data science careers are the ones doing the automating, not getting automated

4. Growth - this isn’t a boring job. Every day, you will face different challenges that will test your existing skills and require you to learn something new  

Please bear in mind that the course comes with Udemy’s 30-day unconditional money-back guarantee. And why not give such a guarantee? We are certain this course will provide a ton of value for you. 

Let's start learning together now!

Who this course is for:

• People who want a career in Data Science
• People who want a career in Business Intelligence
• Business analysts
• Business executives
• Individuals who are passionate about numbers and quant analysis
• Anyone who wants to learn the subtleties of Statistics and how it is used in the business world
• People who want to start learning statistics
• People who want to learn the fundamentals of statistics.



Category:Tutorials > Tutorials
Lang:English  English
Total Size:2.83 GB
Info Hash:8a7202f05504cbf4ef8969c4d6d4dbeec3664919
Added By:Prom3th3uS
Date Added:07-11-2019 15:57:54

  

Files

File List: 
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0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url328.00 B
0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url286.00 B
0. Websites you may like/3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url163.00 B
0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url239.00 B
0. Websites you may like/How you can help Team-FTU.txt229.00 B
1. Introduction/1. What does the course cover.mp439 MB
1. Introduction/1. What does the course cover.srt5.87 kB
1. Introduction/1. What does the course cover.vtt5.20 kB
1. Introduction/1.1 Statistics Glossary.xlsx.xlsx20.26 kB
1. Introduction/2. Download all resources.html712.00 B
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp492 MB
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10. Hypothesis testing Introduction/3. Null vs alternative.html159.00 B
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp483 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.srt9.44 kB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.vtt8.45 kB
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10. Hypothesis testing Introduction/6. Type I error vs Type II error.mp444 MB
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11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp454 MB
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11. Hypothesis testing Let's start testing!/3.1 Online p-value calculator.pdf.pdf1 MB
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11. Hypothesis testing Let's start testing!/5. Test for the mean. Population variance unknown.mp440 MB
11. Hypothesis testing Let's start testing!/5. Test for the mean. Population variance unknown.srt5.46 kB
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11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp450 MB
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11. Hypothesis testing Let's start testing!/8.1 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx12.80 kB
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12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp469 MB
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12. Practical example hypothesis testing/2.1 4.10. Hypothesis testing section_practical example_exercise.xlsx.xlsx43.38 kB
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13. The fundamentals of regression analysis/1. Introduction to regression analysis.mp419 MB
13. The fundamentals of regression analysis/1. Introduction to regression analysis.srt1.63 kB
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13. The fundamentals of regression analysis/10. A geometrical representation of the linear regression model.html160.00 B
13. The fundamentals of regression analysis/11. A practical example - Reinforced learning.mp446 MB
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13. The fundamentals of regression analysis/3. Correlation and causation.mp426 MB
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13. The fundamentals of regression analysis/5. The linear regression model made easy.mp451 MB
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14. Subtleties of regression analysis/12. The adjusted R-squared.mp444 MB
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14. Subtleties of regression analysis/14. What does the F-statistic show us and why do we need to understand it.mp414 MB
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3. The fundamentals of descriptive statistics/10.2 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx11.75 kB
3. The fundamentals of descriptive statistics/11. Histogram charts.mp414 MB
3. The fundamentals of descriptive statistics/11. Histogram charts.srt3.00 kB
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3. The fundamentals of descriptive statistics/11.1 2.5. The Histogram_lesson.xlsx.xlsx18.63 kB
3. The fundamentals of descriptive statistics/12. Histogram charts.html160.00 B
3. The fundamentals of descriptive statistics/13. Histogram charts. Exercise.html81.00 B
3. The fundamentals of descriptive statistics/13.1 2.5.The-Histogram-exercise-solution.xlsx.xlsx17.10 kB
3. The fundamentals of descriptive statistics/13.2 2.5. The Histogram_exercise.xlsx.xlsx15.50 kB
3. The fundamentals of descriptive statistics/13.3 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf289.12 kB
3. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.mp440 MB
3. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.srt6.38 kB
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3. The fundamentals of descriptive statistics/14.1 2.6. Cross table and scatter plot.xlsx.xlsx26.12 kB
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3. The fundamentals of descriptive statistics/16. Cross tables and scatter plots. Exercise.html81.00 B
3. The fundamentals of descriptive statistics/16.1 2.6. Cross table and scatter plot_exercise.xlsx.xlsx16.28 kB
3. The fundamentals of descriptive statistics/16.2 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx40.44 kB
3. The fundamentals of descriptive statistics/2. Types of data.html159.00 B
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp454 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.srt4.43 kB
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3. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.mp438 MB
3. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.srt6.22 kB
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3. The fundamentals of descriptive statistics/5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx.xlsx30.77 kB
3. The fundamentals of descriptive statistics/6. Categorical variables. Visualization Techniques.html160.00 B
3. The fundamentals of descriptive statistics/7. Categorical variables. Visualization techniques. Exercise.html81.00 B
3. The fundamentals of descriptive statistics/7.1 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx41.11 kB
3. The fundamentals of descriptive statistics/7.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf289.12 kB
3. The fundamentals of descriptive statistics/7.3 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx15.24 kB
3. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.mp426 MB
3. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.srt4.13 kB
3. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.vtt4.03 kB
3. The fundamentals of descriptive statistics/8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx11.44 kB
3. The fundamentals of descriptive statistics/9. Numerical variables. Using a frequency distribution table.html160.00 B
4. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.mp443 MB
4. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.srt5.41 kB
4. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.vtt5.27 kB
4. Measures of central tendency, asymmetry, and variability/1.1 2.7. Mean, median and mode_lesson.xlsx.xlsx10.49 kB
4. Measures of central tendency, asymmetry, and variability/10. Standard deviation and coefficient of variation. Exercise.html81.00 B
4. Measures of central tendency, asymmetry, and variability/10.1 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx.xlsx11.61 kB
4. Measures of central tendency, asymmetry, and variability/10.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx.xlsx12.60 kB
4. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.mp427 MB
4. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.srt4.62 kB
4. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.vtt4.51 kB
4. Measures of central tendency, asymmetry, and variability/11.1 2.11. Covariance_lesson.xlsx.xlsx24.92 kB
4. Measures of central tendency, asymmetry, and variability/12. Covariance. Exercise.html81.00 B
4. Measures of central tendency, asymmetry, and variability/12.1 2.11. Covariance_exercise.xlsx.xlsx20.23 kB
4. Measures of central tendency, asymmetry, and variability/12.2 2.11. Covariance_exercise_solution.xlsx.xlsx29.51 kB
4. Measures of central tendency, asymmetry, and variability/13. The correlation coefficient.mp429 MB
4. Measures of central tendency, asymmetry, and variability/13. The correlation coefficient.srt4.46 kB
4. Measures of central tendency, asymmetry, and variability/13. The correlation coefficient.vtt4.35 kB
4. Measures of central tendency, asymmetry, and variability/13.1 2.12. Correlation_lesson.xlsx.xlsx24.99 kB
4. Measures of central tendency, asymmetry, and variability/14. Correlation.html160.00 B
4. Measures of central tendency, asymmetry, and variability/15. Correlation coefficient.html81.00 B
4. Measures of central tendency, asymmetry, and variability/15.1 2.12. Correlation_exercise_solution.xlsx.xlsx29.48 kB
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4. Measures of central tendency, asymmetry, and variability/2. Mean, median and mode. Exercise.html81.00 B
4. Measures of central tendency, asymmetry, and variability/2.1 2.7. Mean, median and mode_exercise.xlsx.xlsx10.87 kB
4. Measures of central tendency, asymmetry, and variability/2.2 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx11.35 kB
4. Measures of central tendency, asymmetry, and variability/3. Measuring skewness.mp419 MB
4. Measures of central tendency, asymmetry, and variability/3. Measuring skewness.srt3.45 kB
4. Measures of central tendency, asymmetry, and variability/3. Measuring skewness.vtt3.38 kB
4. Measures of central tendency, asymmetry, and variability/3.1 2.8. Skewness_lesson.xlsx.xlsx34.63 kB
4. Measures of central tendency, asymmetry, and variability/4. Skewness.html160.00 B
4. Measures of central tendency, asymmetry, and variability/5. Skewness. Exercise.html81.00 B
4. Measures of central tendency, asymmetry, and variability/5.1 2.8. Skewness_exercise.xlsx.xlsx9.49 kB
4. Measures of central tendency, asymmetry, and variability/5.2 2.8. Skewness_exercise_solution.xlsx.xlsx19.78 kB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp451 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.srt7.19 kB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.vtt7.00 kB
4. Measures of central tendency, asymmetry, and variability/6.1 2.9. Variance_lesson.xlsx.xlsx10.08 kB
4. Measures of central tendency, asymmetry, and variability/7. Variance. Exercise.html81.00 B
4. Measures of central tendency, asymmetry, and variability/7.1 2.9. Variance_exercise.xlsx.xlsx10.83 kB
4. Measures of central tendency, asymmetry, and variability/7.2 2.9. Variance_exercise_solution.xlsx.xlsx11.05 kB
4. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.mp445 MB
4. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.srt5.82 kB
4. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.vtt5.68 kB
4. Measures of central tendency, asymmetry, and variability/8.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx10.97 kB
4. Measures of central tendency, asymmetry, and variability/9. Standard deviation.html160.00 B
5. Practical example descriptive statistics/1. Practical example.mp4218 MB
5. Practical example descriptive statistics/1. Practical example.srt19.08 kB
5. Practical example descriptive statistics/1. Practical example.vtt18.42 kB
5. Practical example descriptive statistics/1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx.xlsx146.51 kB
5. Practical example descriptive statistics/2. Practical example descriptive statistics.html81.00 B
5. Practical example descriptive statistics/2.1 2.13.Practical-example.Descriptive-statistics-exercise.xlsx.xlsx120.28 kB
5. Practical example descriptive statistics/2.2 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx146.38 kB
6. Distributions/1. Introduction to inferential statistics.mp415 MB
6. Distributions/1. Introduction to inferential statistics.srt1.57 kB
6. Distributions/1. Introduction to inferential statistics.vtt1.55 kB
6. Distributions/1.1 Course notes_inferential statistics.pdf.pdf382.32 kB
6. Distributions/10. The central limit theorem.html159.00 B
6. Distributions/11. Standard error.mp423 MB
6. Distributions/11. Standard error.srt1.88 kB
6. Distributions/11. Standard error.vtt1.86 kB
6. Distributions/12. Standard error.html160.00 B
6. Distributions/2. What is a distribution.mp462 MB
6. Distributions/2. What is a distribution.srt5.56 kB
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6. Distributions/2.1 3.2. What is a distribution_lesson.xlsx.xlsx19.46 kB
6. Distributions/2.2 Course notes_inferential statistics.pdf.pdf382.32 kB
6. Distributions/3. What is a distribution.html159.00 B
6. Distributions/4. The Normal distribution.mp450 MB
6. Distributions/4. The Normal distribution.srt4.82 kB
6. Distributions/4. The Normal distribution.vtt4.70 kB
6. Distributions/5. The Normal distribution.html159.00 B
6. Distributions/6. The standard normal distribution.mp422 MB
6. Distributions/6. The standard normal distribution.srt3.75 kB
6. Distributions/6. The standard normal distribution.vtt3.65 kB
6. Distributions/6.1 3.4. Standard normal distribution_lesson.xlsx.xlsx10.38 kB
6. Distributions/7. The standard normal distribution.html160.00 B
6. Distributions/8. Standard Normal Distribution. Exercise.html81.00 B
6. Distributions/8.1 3.4.Standard-normal-distribution-exercise-solution.xlsx.xlsx24.04 kB
6. Distributions/8.2 3.4.Standard-normal-distribution-exercise.xlsx.xlsx11.99 kB
6. Distributions/9. Understanding the central limit theorem.mp463 MB
6. Distributions/9. Understanding the central limit theorem.srt5.34 kB
6. Distributions/9. Understanding the central limit theorem.vtt5.19 kB
7. Estimators and estimates/1. Working with estimators and estimates.mp448 MB
7. Estimators and estimates/1. Working with estimators and estimates.srt3.65 kB
7. Estimators and estimates/1. Working with estimators and estimates.vtt3.56 kB
7. Estimators and estimates/10. Calculating confidence intervals within a population with an unknown variance.mp432 MB
7. Estimators and estimates/10. Calculating confidence intervals within a population with an unknown variance.srt4.98 kB
7. Estimators and estimates/10. Calculating confidence intervals within a population with an unknown variance.vtt4.85 kB
7. Estimators and estimates/10.1 3.11. Population variance unknown, t-score_lesson.xlsx.xlsx10.78 kB
7. Estimators and estimates/10.2 3.11. The t-table.xlsx.xlsx15.85 kB
7. Estimators and estimates/11. Population variance unknown. T-score. Exercise.html81.00 B
7. Estimators and estimates/11.1 3.11. Population variance unknown, t-score_exercise.xlsx.xlsx10.62 kB
7. Estimators and estimates/11.2 3.11. Population variance unknown, t-score_exercise_solution.xlsx.xlsx11.10 kB
7. Estimators and estimates/11.3 3.11. The t-table.xlsx.xlsx15.85 kB
7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.mp459 MB
7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.srt5.79 kB
7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.vtt5.65 kB
7. Estimators and estimates/13. Margin of error.html159.00 B
7. Estimators and estimates/2. Estimators and estimates.html159.00 B
7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.mp450 MB
7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.srt2.94 kB
7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.vtt2.88 kB
7. Estimators and estimates/4. Confidence intervals.html159.00 B
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp478 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.srt8.79 kB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.vtt8.54 kB
7. Estimators and estimates/5.1 3.9.The-z-table.xlsx.xlsx25.58 kB
7. Estimators and estimates/5.2 3.9. Population variance known, z-score_lesson.xlsx.xlsx11.21 kB
7. Estimators and estimates/6. Confidence intervals. Population variance known. Exercise.html81.00 B
7. Estimators and estimates/6.1 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx11.16 kB
7. Estimators and estimates/6.2 3.9.The-z-table.xlsx.xlsx25.58 kB
7. Estimators and estimates/6.3 3.9. Population variance known, z-score_exercise.xlsx.xlsx10.83 kB
7. Estimators and estimates/7. Confidence interval clarifications.mp457 MB
7. Estimators and estimates/7. Confidence interval clarifications.srt5.33 kB
7. Estimators and estimates/7. Confidence interval clarifications.vtt5.18 kB
7. Estimators and estimates/8. Student's T distribution.mp435 MB
7. Estimators and estimates/8. Student's T distribution.srt4.10 kB
7. Estimators and estimates/8. Student's T distribution.vtt4.01 kB
7. Estimators and estimates/9. Student's T distribution.html159.00 B
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp470 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.srt7.64 kB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.vtt7.44 kB
8. Confidence intervals advanced topics/1.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx10.47 kB
8. Confidence intervals advanced topics/2. Confidence intervals. Two means. Dependent samples. Exercise.html81.00 B
8. Confidence intervals advanced topics/2.1 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx.xlsx14.24 kB
8. Confidence intervals advanced topics/2.2 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx13.74 kB
8. Confidence intervals advanced topics/3. Calculating confidence intervals for two means with independent samples (part 1).mp429 MB
8. Confidence intervals advanced topics/3. Calculating confidence intervals for two means with independent samples (part 1).srt5.70 kB
8. Confidence intervals advanced topics/3. Calculating confidence intervals for two means with independent samples (part 1).vtt5.56 kB
8. Confidence intervals advanced topics/3.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx9.83 kB
8. Confidence intervals advanced topics/4. Confidence intervals. Two means. Independent samples (Part 1). Exercise.html81.00 B
8. Confidence intervals advanced topics/4.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx.xlsx9.83 kB
8. Confidence intervals advanced topics/4.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx.xlsx10.12 kB
8. Confidence intervals advanced topics/5. Calculating confidence intervals for two means with independent samples (part 2).mp427 MB
8. Confidence intervals advanced topics/5. Calculating confidence intervals for two means with independent samples (part 2).srt4.22 kB
8. Confidence intervals advanced topics/5. Calculating confidence intervals for two means with independent samples (part 2).vtt4.13 kB
8. Confidence intervals advanced topics/5.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx9.52 kB
8. Confidence intervals advanced topics/6. Confidence intervals. Two means. Independent samples (Part 2). Exercise.html81.00 B
8. Confidence intervals advanced topics/6.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx.xlsx9.79 kB
8. Confidence intervals advanced topics/6.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx9.17 kB
8. Confidence intervals advanced topics/7. Calculating confidence intervals for two means with independent samples (part 3).mp420 MB
8. Confidence intervals advanced topics/7. Calculating confidence intervals for two means with independent samples (part 3).srt1.85 kB
8. Confidence intervals advanced topics/7. Calculating confidence intervals for two means with independent samples (part 3).vtt1.83 kB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4103 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.srt12.86 kB
9. Practical example inferential statistics/1. Practical example inferential statistics.vtt12.46 kB
9. Practical example inferential statistics/1.1 3.17. Practical example. Confidence intervals_lesson.xlsx.xlsx2 MB
9. Practical example inferential statistics/2. Practical example inferential statistics.html81.00 B
9. Practical example inferential statistics/2.1 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx.xlsx2 MB
9. Practical example inferential statistics/2.2 3.17.Practical-example.Confidence-intervals-exercise.xlsx.xlsx2 MB



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