Udemy - Statistics - Central Limit Theorem And Hypothesis Testing

CategoryOther
TypeTutorials
LanguageEnglish
Total size771.8 MB
Uploaded Byfreecoursewb

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Last checkedSep. 10th '22
Date uploadedSep. 09th '22
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Infohash : 02E13E7F22696B3A871A988C40B0384CBEF84D51

Statistics: Central Limit Theorem And Hypothesis Testing

https://TutPig.com

Last updated 9/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 771.87 MB | Duration: 6h 58m

Get a thorough understanding of the most important concepts in Statistics - Central Limit Theorem and Hypothesis Testing

What you'll learn
Understand Normal & Standard Normal Distribution and feel much more confident in solving the questions
Build a good intuitive understanding of Central Limit Theorem - One of the most important concepts in Statistics
Understand the basics and essence of Hypothesis Testing
Solve exam style questions in a step by step manner with much more confidence
Requirements
Basics of Statistics (Random Variable, Probability Distributions etc.)
Knowledge of MS Excel (Preferred, not necessary)
Description
This course is the key to build an excellent understanding of Inferential Statistics. It has students (from over 100 countries) and here is what some of them have to say
"Well explained sir, every concept is clear as water and the way you explain is very easy to understand the concept. Worth buying this course" ~ K Roshnishree"The explanations are quite intuitive and the best part is that the course includes practice problems which helps in building the concepts" ~ Swati Sahu"The detail level coverage of the basic topics is amazing" ~ Rehana Shake"This instructor is doing a fine job explaining the statistics concepts" ~ Frank Herrera"Very clear examples, thank you sir!" ~ Gitartha PathakCourse Description: This course is designed for students who are struggling with Statistics or who are complete beginners in statistics.How is this course structured? Section 1 and 2: These 2 sections cover the concepts that are crucial to understand the basics of hypothesis testing - Normal Distribution, Standard Normal Distribution, Sampling, Sampling Distribution and Central Limit Theorem. (Before you start hypothesis testing, make sure you are absolutely clear with these concepts)Section 3: This section caters to the basics of hypothesis testing with three methods - Critical Value Method, Z-Score Method and p-value method.My approach is hands on: Concepts, examples and solved problems addressing all the concepts covered in the lectures.Note : Only Hypothesis Testing in Case of Single Population Mean is covered

Overview

                            Files: 
                            [ TutPig.com ] Udemy - Statistics - Central Limit Theorem And Hypothesis Testing

Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here !1 - Continuous Probability Distributions Uniform and Normal Distribution
- Introduction English.vtt (3.4 KB)

- Introduction.mp4 (6.5 MB)

- 2 important rules to remember English.vtt (3.2 KB)

- 2 important rules to remember.mp4 (4.6 MB)

- 3 types of probability calculation English.vtt (9.0 KB)

- 3 types of probability calculation.mp4 (19.0 MB)

- How to compute z values when probability value is given English.vtt (3.3 KB)

- How to compute z values when probability value is given.mp4 (6.3 MB)

- A different type of table to compute probability English.vtt (6.9 KB)

- A different type of table to compute probability.mp4 (12.8 MB)

- How to calculate probability for any normal distribution English.vtt (11.0 KB)

- How to calculate probability for any normal distribution.mp4 (19.3 MB)

- Application of Normal Distribution English.vtt (15.9 KB)

- Application of Normal Distribution.mp4 (29.8 MB)

- Revisiting the application English.vtt (14.9 KB)

- Revisiting the application.mp4 (28.4 MB)

- Normal Distribution Some Real Life Examples.html (1.9 KB)

- Normal Distribution using Microsoft Excel English.vtt (8.4 KB)

- Normal Distribution using Microsoft Excel.mp4 (16.8 MB)

- Practice Question 1 English.vtt (11.6 KB)

- Practice Question 1.mp4 (21.9 MB)

- Introduction Written Notes.html (0.2 KB)

- Introduction.pdf (128.7 KB)

- Practice Question 2 English.vtt (5.4 KB)

- Practice Question 2.mp4 (11.5 MB)

- Practice Question 3 English.vtt (17.4 KB)

- Practice Question 3.mp4 (33.6 MB)

- Practice Question 4 English.vtt (7.6 KB)

- Practice Question 4.mp4 (14.5 MB)

- Practice Question 5 English.vtt (7.3 KB)

- Practice Question 5.mp4 (14.2 MB)

- Practice Question 6 English.vtt (6.1 KB)

- Practice Question 6.mp4 (9.8 MB)

- Practice Question 7 English.vtt (5.1 KB)

- Practice Question 7.mp4 (8.4 MB)

- Practice Question 8 English.vtt (14.3 KB)

- Practice Question 8.mp4 (25.4 MB)

- Practice Question 9 English.vtt (7.3 KB)

- Practice Question 9.mp4 (12.0 MB)

- Share your experience.html (0.9 KB)

- Uniform Distribution English.vtt (7.4 KB)

- Uniform Distribution.mp4 (16.0 MB)

- Uniform Distribution Written Notes.html (0.2 KB)

- Uniform-Distribution.pdf (142.3 KB)

- Area as a measure of probability English.vtt (4.8 KB)

- Area as a measure of probability.mp4 (9.3 MB)

- Normal Distribution English.vtt (1.3 KB)

- Normal Distribution.mp4 (2.5 MB)

- Characteristics of Normal Distribution English.vtt (8.6 KB)

- Characteristics of Normal Distribution.mp4 (16.2 MB)

- Standard Normal Distributions English.vtt (2.6 KB)

- Standard Normal Distributions.mp4 (4.0 MB)

- How to calculate probability using Cumulative Probability table English.vtt (5.9 KB)

- How to calculate probability using Cumulative Probability table.mp4 (12.8 MB)
- Sampling and Sampling Distributions
- Introduction to the Section.html (4.7 KB)

- The Sampling Problem English.vtt (4.2 KB)

- The Sampling Problem.mp4 (10.2 MB)

- Simple Random Sample Finite Population English.vtt (8.9 KB)

- Simple Random Sample Finite Population.mp4 (29.9 MB)

- Simple Random Sample Infinite Population English.vtt (3.3 KB)

- Simple Random Sample Infinite Population.mp4 (5.6 MB)

- How to calculate the point estimators of population parameters English.vtt (5.5 KB)

- How to calculate the point estimators of population parameters.mp4 (12.5 MB)

- Sampling Distribution English.vtt (9.7 KB)

- Sampling Distribution.mp4 (19.9 MB)

- Properties of Sampling Distribution English.vtt (6.9 KB)

- Properties of Sampling Distribution.mp4 (12.1 MB)

- Central Limit Theorem Explained English.vtt (6.6 KB)

- Central Limit Theorem Explained.mp4 (10.6 MB)

- Why large samples are considered to be better predictors of population parameter English.vtt (13.2 KB)

- Why large samples are considered to be better predictors of population parameter.mp4 (21.9 MB)

- Share your experience.html (0.9 KB)
- Hypothesis Testing
- Basics of Hypothesis Testing English.vtt (11.3 KB)

- Basics of Hypothesis Testing.mp4 (18.1 MB)

- Null and Alternate hypothesis English.vtt (6.2 KB)

- Null and Alternate hypothesis.mp4 (10.2 MB)

- Burden of proof.html (1.3 KB)

- Type of test and Rejection Region English.vtt (12.4 KB)

- Type of test and Rejection Region.mp4 (18.7 MB)

- Types of Errors English.vtt (3.0 KB)

- Types of Errors.mp4 (4.4 MB)

- Type 1 Error English.vtt (6.1 KB)

- Type 1 Error.mp4 (9.0 MB)

- Type 2 Error English.vtt (2.9 KB)

- Type 2 Error.mp4 (4.6 MB)

- Example 1 Critical Value Method English.vtt (16.5 KB)

- Example 1 Critical Value Method.mp4 (28.0 MB)

- Example Z Score Method English.vtt (7.1 KB)

- Example Z Score Method.mp4 (9.9 MB)

- Example 2 Critical Value Method English.vtt (9.1 KB)

- Example 2 Critical Value Method.mp4 (15.8 MB)

- Example 3 Critical Value Method English.vtt (8.9 KB)

- Example 3 Critical Value Method.mp4 (15.3 MB)

- Introduction to pvalue English.vtt (7.1 KB)

- Introduction to pvalue.mp4 (11.1 MB)

- Example 1 pvalue method English.vtt (9.3 KB)

- Example 1 pvalue method.mp4 (15.8 MB)

- Example 2 pvalue method English.vtt (7.5 KB)

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