# Introduction to Statistics

• Course provided by Udemy
• Study type: Online
• Starts: Anytime
• Price: See latest price on Udemy

## Course Description

November, 2019

In the course, you will learn how to easily and effectively analyze and interpret data involving introductory statistics. The following topics are covered in this course:

Scales of measurement - nominal, ordinal, interval, ratio.

• Goal/Learning Objective: Easily understand the often-confused scales of measurement covered in most statistics texts.

Central Tendency - mean, median, and mode are illustrated along with practice problems; measures of central tendency and skewed distributions are explained, as well as how to calculate the weighted mean.

• Goals/Learning Objectives: Summarize a set of data, find the center location in a distribution of scores, understand and identify the location of measures of central tendency in skewed distributions, understand and interpret how to find the overall or combined mean for two different sets of data.

Variability - How to calculate the standard deviation and variance as well as how to interpret percentiles are provided in simple and clear language.

• Goals/Learning Objectives: Understand and explain variability (spread) in a set of numbers, including how to rank data and interpret data such as standardized test scores (for example, the 95th percentile).

Charts and Graphs - How to calculate a cumulative frequency distribution table as well as how to calculate a stem and leaf plot is illustrated.

• Goals/Learning Objectives: Learn how to easily organize, summarize, understand, and explain a set of numbers.

Probability, the Normal Curve and z-Scores - An introduction to probability is provided, along with properties of the normal distribution and how to calculate and interpret z-scores

• Goals/Learning Objectives: Understand beginning probability including important characteristics of the normal (Gaussian) distribution, as well as how to calculate and interpret z-scores.

Bonus Features: Cement understanding with practice opportunities including several quizzes with complete video coverage of the solutions.

Update: New Videos Added on Hypothesis Testing and on Correlation! (See Sections 6 and 7 of the Course.)

## Who this course is for:

• Those interested in learning more about descriptive statistics should take this course (those interested only in inferential statistics should not take the course)

## Expected Outcomes

1. Understand and learn how to calculate a number of different descriptive statistics Increase your quantitative and numerical reasoning skills! Increase marketable job skills in data analytics Requirements No special software or other materials are required. Description November, 2019 In the course, you will learn how to easily and effectively analyze and interpret data involving introductory statistics. The following topics are covered in this course: Scales of measurement - nominal, ordinal, interval, ratio. Goal/Learning Objective : Easily understand the often-confused scales of measurement covered in most statistics texts. Central Tendency - mean, median, and mode are illustrated along with practice problems; measures of central tendency and skewed distributions are explained, as well as how to calculate the weighted mean. Goals/Learning Objectives : Summarize a set of data, find the center location in a distribution of scores, understand and identify the location of measures of central tendency in skewed distributions, understand and interpret how to find the overall or combined mean for two different sets of data. Variability - How to calculate the standard deviation and variance as well as how to interpret percentiles are provided in simple and clear language. Goals/Learning Objectives: Understand and explain variability (spread) in a set of numbers, including how to rank data and interpret data such as standardized test scores (for example, the 95th percentile). Charts and Graphs - How to calculate a cumulative frequency distribution table as well as how to calculate a stem and leaf plot is illustrated. Goals/Learning Objectives : Learn how to easily organize, summarize, understand, and explain a set of numbers. Probability, the Normal Curve and z-Scores - An introduction to probability is provided, along with properties of the normal distribution and how to calculate and interpret z-scores Goals/Learning Objectives: Understand beginning probability including important characteristics of the normal (Gaussian) distribution, as well as how to calculate and interpret z-scores. Bonus Features: Cement understanding with practice opportunities including several quizzes with complete video coverage of the solutions. Update: New Videos Added on Hypothesis Testing and on Correlation! (See Sections 6 and 7 of the Course.) Who this course is for: Those interested in learning more about descriptive statistics should take this course (those interested only in inferential statistics should not take the course) Show more Show less Course content 8 sections • 33 lectures • 2h 39m total length Expand all sections Course Introduction and Introduction to Statistics 2 lectures • 14min Course Introduction Preview 02:41 Scales of Measurement Preview 11:02 Scales of Measurement 4 questions Central Tendency 6 lectures • 21min Mean, Median, and Mode (Measures of Central Tendency) 05:46 Quiz - Mean, Median, and Mode 5 questions Video Review of Quiz - Mean, Median, and Mode 04:12 Central Tendency and Skewed Distributions Processing.. Quiz - Central Tendency and Skewed Distributions 3 questions Video Review of Quiz - Central Tendency and Skewed Distributions 02:44 The Weighted Mean 04:42 The Weighted Mean 3 questions Video Review of Quiz - The Weighted Mean 03:50 Variability 3 lectures • 20min Percentiles 05:55 Percentiles 5 questions Calculating the Standard Deviation and Variance – Step by Step 06:29 Quiz - Standard Deviation and Variance 2 questions Video Review of Quiz - Standard Deviation and Variance 07:11 Charts, Tables, and Graphs 3 lectures • 11min How to Create a Frequency Distribution Table 05:19 How to Create a Cumulative Frequency Distribution Table 02:46 How to Create Stem and Leaf Plot 03:14 Probability, the Normal Curve and z-Scores 8 lectures • 39min Probability 04:15 Normal Curve and z-Scores (68, 95, 99.7 Rule) 06:57 Properties of the z Score Normal Distribution Preview 03:27 Properties of the z Score Normal Distribution 5 questions Video Review of Quiz - Properties of the z-Score Normal Distribution 02:52 Solving for z-Scores 05:10 Solving for z-Scores 5 questions Video Review of Quiz - Solving for z-Scores 04:22 Solving for X Given a z-Score 05:45 Solving for X Given a z-Score 5 questions Video Review of Quiz - Solving for X Scores Given a z-Score 05:45 Hypothesis Testing 8 lectures • 40min Hypothesis Testing - Two Tailed Tests 04:59 Two Tailed Hypothesis Tests - Examples 04:43 Hypothesis Testing - One Tailed Tests 05:45 One Tailed Hypothesis Tests - Examples 05:17 Hypothesis Tests 3 questions Type I and Type II Errors Explained 07:51 What is a P-Value? 06:01 P Value = .000 ??? 02:40 P-values 3 questions Power 03:03 Correlation 2 lectures • 14min How To Calculate a Correlation 09:16 How To Test a Correlation for Significance 04:56 Conclusion 1 lecture • 1min Conclusion 00:57 Instructor Quantitative Specialists Specializing in Statistics, Research Design, and Measurement 4.5 Instructor Rating 3,662 Reviews 17,277 Students 9 Courses Quantitative Specialists (QS) was founded by an award-winning university instructor who has taught statistics courses for over 15 years. At QS, we are passionate about all things statistical, especially in helping others understand this often-feared subject matter. Our focus is in helping you to succeed in all your statistics work! Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF\$cv\$params']={r:'676f475a4da14251',m:'ed31a460e422bc257b3ff3ac9674307215f81541-1627655362-1800-ARhf19ryPj7EfhgJ9F2+6phc1eME0gVADMldmsKAAP7t+npwL8JyxqKm28FTPmnildGFkVAmuc74JfYjfHzFiYjOvLW/2qUvPkH9fbvIKQVRy9bU7eNJwAtUIIAgsRRXvtyw1/doNqK4WdmNJab8BfVkY+vk4CL8Al99NZkTXdq6',s:[0xdddefb9e22,0xfa806fab1e],}})();
2. Increase your quantitative and numerical reasoning skills! Increase marketable job skills in data analytics Requirements No special software or other materials are required. Description November, 2019 In the course, you will learn how to easily and effectively analyze and interpret data involving introductory statistics. The following topics are covered in this course: Scales of measurement - nominal, ordinal, interval, ratio. Goal/Learning Objective : Easily understand the often-confused scales of measurement covered in most statistics texts. Central Tendency - mean, median, and mode are illustrated along with practice problems; measures of central tendency and skewed distributions are explained, as well as how to calculate the weighted mean. Goals/Learning Objectives : Summarize a set of data, find the center location in a distribution of scores, understand and identify the location of measures of central tendency in skewed distributions, understand and interpret how to find the overall or combined mean for two different sets of data. Variability - How to calculate the standard deviation and variance as well as how to interpret percentiles are provided in simple and clear language. Goals/Learning Objectives: Understand and explain variability (spread) in a set of numbers, including how to rank data and interpret data such as standardized test scores (for example, the 95th percentile). Charts and Graphs - How to calculate a cumulative frequency distribution table as well as how to calculate a stem and leaf plot is illustrated. Goals/Learning Objectives : Learn how to easily organize, summarize, understand, and explain a set of numbers. Probability, the Normal Curve and z-Scores - An introduction to probability is provided, along with properties of the normal distribution and how to calculate and interpret z-scores Goals/Learning Objectives: Understand beginning probability including important characteristics of the normal (Gaussian) distribution, as well as how to calculate and interpret z-scores. Bonus Features: Cement understanding with practice opportunities including several quizzes with complete video coverage of the solutions. Update: New Videos Added on Hypothesis Testing and on Correlation! (See Sections 6 and 7 of the Course.) Who this course is for: Those interested in learning more about descriptive statistics should take this course (those interested only in inferential statistics should not take the course) Show more Show less Course content 8 sections • 33 lectures • 2h 39m total length Expand all sections Course Introduction and Introduction to Statistics 2 lectures • 14min Course Introduction Preview 02:41 Scales of Measurement Preview 11:02 Scales of Measurement 4 questions Central Tendency 6 lectures • 21min Mean, Median, and Mode (Measures of Central Tendency) 05:46 Quiz - Mean, Median, and Mode 5 questions Video Review of Quiz - Mean, Median, and Mode 04:12 Central Tendency and Skewed Distributions Processing.. Quiz - Central Tendency and Skewed Distributions 3 questions Video Review of Quiz - Central Tendency and Skewed Distributions 02:44 The Weighted Mean 04:42 The Weighted Mean 3 questions Video Review of Quiz - The Weighted Mean 03:50 Variability 3 lectures • 20min Percentiles 05:55 Percentiles 5 questions Calculating the Standard Deviation and Variance – Step by Step 06:29 Quiz - Standard Deviation and Variance 2 questions Video Review of Quiz - Standard Deviation and Variance 07:11 Charts, Tables, and Graphs 3 lectures • 11min How to Create a Frequency Distribution Table 05:19 How to Create a Cumulative Frequency Distribution Table 02:46 How to Create Stem and Leaf Plot 03:14 Probability, the Normal Curve and z-Scores 8 lectures • 39min Probability 04:15 Normal Curve and z-Scores (68, 95, 99.7 Rule) 06:57 Properties of the z Score Normal Distribution Preview 03:27 Properties of the z Score Normal Distribution 5 questions Video Review of Quiz - Properties of the z-Score Normal Distribution 02:52 Solving for z-Scores 05:10 Solving for z-Scores 5 questions Video Review of Quiz - Solving for z-Scores 04:22 Solving for X Given a z-Score 05:45 Solving for X Given a z-Score 5 questions Video Review of Quiz - Solving for X Scores Given a z-Score 05:45 Hypothesis Testing 8 lectures • 40min Hypothesis Testing - Two Tailed Tests 04:59 Two Tailed Hypothesis Tests - Examples 04:43 Hypothesis Testing - One Tailed Tests 05:45 One Tailed Hypothesis Tests - Examples 05:17 Hypothesis Tests 3 questions Type I and Type II Errors Explained 07:51 What is a P-Value? 06:01 P Value = .000 ??? 02:40 P-values 3 questions Power 03:03 Correlation 2 lectures • 14min How To Calculate a Correlation 09:16 How To Test a Correlation for Significance 04:56 Conclusion 1 lecture • 1min Conclusion 00:57 Instructor Quantitative Specialists Specializing in Statistics, Research Design, and Measurement 4.5 Instructor Rating 3,662 Reviews 17,277 Students 9 Courses Quantitative Specialists (QS) was founded by an award-winning university instructor who has taught statistics courses for over 15 years. At QS, we are passionate about all things statistical, especially in helping others understand this often-feared subject matter. Our focus is in helping you to succeed in all your statistics work! Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? 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3. Increase marketable job skills in data analytics Requirements No special software or other materials are required. Description November, 2019 In the course, you will learn how to easily and effectively analyze and interpret data involving introductory statistics. The following topics are covered in this course: Scales of measurement - nominal, ordinal, interval, ratio. Goal/Learning Objective : Easily understand the often-confused scales of measurement covered in most statistics texts. Central Tendency - mean, median, and mode are illustrated along with practice problems; measures of central tendency and skewed distributions are explained, as well as how to calculate the weighted mean. Goals/Learning Objectives : Summarize a set of data, find the center location in a distribution of scores, understand and identify the location of measures of central tendency in skewed distributions, understand and interpret how to find the overall or combined mean for two different sets of data. Variability - How to calculate the standard deviation and variance as well as how to interpret percentiles are provided in simple and clear language. Goals/Learning Objectives: Understand and explain variability (spread) in a set of numbers, including how to rank data and interpret data such as standardized test scores (for example, the 95th percentile). Charts and Graphs - How to calculate a cumulative frequency distribution table as well as how to calculate a stem and leaf plot is illustrated. Goals/Learning Objectives : Learn how to easily organize, summarize, understand, and explain a set of numbers. Probability, the Normal Curve and z-Scores - An introduction to probability is provided, along with properties of the normal distribution and how to calculate and interpret z-scores Goals/Learning Objectives: Understand beginning probability including important characteristics of the normal (Gaussian) distribution, as well as how to calculate and interpret z-scores. Bonus Features: Cement understanding with practice opportunities including several quizzes with complete video coverage of the solutions. Update: New Videos Added on Hypothesis Testing and on Correlation! (See Sections 6 and 7 of the Course.) Who this course is for: Those interested in learning more about descriptive statistics should take this course (those interested only in inferential statistics should not take the course) Show more Show less Course content 8 sections • 33 lectures • 2h 39m total length Expand all sections Course Introduction and Introduction to Statistics 2 lectures • 14min Course Introduction Preview 02:41 Scales of Measurement Preview 11:02 Scales of Measurement 4 questions Central Tendency 6 lectures • 21min Mean, Median, and Mode (Measures of Central Tendency) 05:46 Quiz - Mean, Median, and Mode 5 questions Video Review of Quiz - Mean, Median, and Mode 04:12 Central Tendency and Skewed Distributions Processing.. Quiz - Central Tendency and Skewed Distributions 3 questions Video Review of Quiz - Central Tendency and Skewed Distributions 02:44 The Weighted Mean 04:42 The Weighted Mean 3 questions Video Review of Quiz - The Weighted Mean 03:50 Variability 3 lectures • 20min Percentiles 05:55 Percentiles 5 questions Calculating the Standard Deviation and Variance – Step by Step 06:29 Quiz - Standard Deviation and Variance 2 questions Video Review of Quiz - Standard Deviation and Variance 07:11 Charts, Tables, and Graphs 3 lectures • 11min How to Create a Frequency Distribution Table 05:19 How to Create a Cumulative Frequency Distribution Table 02:46 How to Create Stem and Leaf Plot 03:14 Probability, the Normal Curve and z-Scores 8 lectures • 39min Probability 04:15 Normal Curve and z-Scores (68, 95, 99.7 Rule) 06:57 Properties of the z Score Normal Distribution Preview 03:27 Properties of the z Score Normal Distribution 5 questions Video Review of Quiz - Properties of the z-Score Normal Distribution 02:52 Solving for z-Scores 05:10 Solving for z-Scores 5 questions Video Review of Quiz - Solving for z-Scores 04:22 Solving for X Given a z-Score 05:45 Solving for X Given a z-Score 5 questions Video Review of Quiz - Solving for X Scores Given a z-Score 05:45 Hypothesis Testing 8 lectures • 40min Hypothesis Testing - Two Tailed Tests 04:59 Two Tailed Hypothesis Tests - Examples 04:43 Hypothesis Testing - One Tailed Tests 05:45 One Tailed Hypothesis Tests - Examples 05:17 Hypothesis Tests 3 questions Type I and Type II Errors Explained 07:51 What is a P-Value? 06:01 P Value = .000 ??? 02:40 P-values 3 questions Power 03:03 Correlation 2 lectures • 14min How To Calculate a Correlation 09:16 How To Test a Correlation for Significance 04:56 Conclusion 1 lecture • 1min Conclusion 00:57 Instructor Quantitative Specialists Specializing in Statistics, Research Design, and Measurement 4.5 Instructor Rating 3,662 Reviews 17,277 Students 9 Courses Quantitative Specialists (QS) was founded by an award-winning university instructor who has taught statistics courses for over 15 years. At QS, we are passionate about all things statistical, especially in helping others understand this often-feared subject matter. Our focus is in helping you to succeed in all your statistics work! Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? 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