Statistics Foundations 3: Using Data Sets

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Eddie Davila

1:41:06

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01 - Introduction

01 - Discover samples, confidence intervals, and hypothesis testing.mp4

02:04

02 - 1. Sampling

01 - Sample considerations.mp4

03:14

02 - Random samples.mp4

04:41

03 - Alternative to random samples.mp4

04:58

03 - 2. Sample Size

01 - The importance of sample size.mp4

05:38

02 - The central limit theorem.mp4

04:20

04 - 3. Standard Error

01 - Standard error for proportions.mp4

06:36

02 - Sampling distribution of the mean.mp4

03:42

03 - Standard error for means.mp4

04:22

05 - 4. Confidence Intervals

01 - Introduction to confidence intervals.mp4

03:02

02 - Components of a confidence interval.mp4

03:44

03 - Creating a 95% confidence interval for a population.mp4

07:35

04 - Alternative confidence intervals.mp4

05:23

05 - Confidence intervals with unexpected outcomes.mp4

04:34

06 - 5. Hypothesis Tests

01 - Hypothesis test introduction.mp4

04:03

02 - Hypothesis test Step-by-step.mp4

07:32

03 - One-tailed vs. two-tail tests.mp4

05:45

04 - Significance test for proportions.mp4

06:26

05 - Significance test for means.mp4

07:10

06 - Type one and type two errors.mp4

05:02

07 - 6. Continuing Your Statistics Learning Journey

01 - Next steps and additional resources.mp4

01:15

Description

Statistics are a core skill for many careers. Basic stats are critical for making decisions, discoveries, investments, and even predictions. But sometimes you need to move beyond the basics. This third course in the Statistics Foundations series gives you practical, example-based lessons on the intermediate skills associated with statistics: Samples and sampling, standard errors, confidence intervals, and hypothesis testing.

Eddie Davila takes a look at topics like sampling, random samples, sample sizes, sampling error, trustworthiness, the central unit theorem, confidence intervals, and hypothesis testing. This course is a must for those working in data science, business, and business analytics—or anyone who wants to go beyond means and medians and gain a deeper understanding of how statistics work in the real world.

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Statistics

Eddie Davila

Instructor's Courses

Theater, business, and materials science engineering. What could I possibly do with that mix of training/education? Little did I know that everything I had done would create the perfect mix for the life I would have today. Supply chain is sort of a perfect mix of business and engineering concepts. Teaching in lecture halls is theater. Online videos are my opportunity to write and be on-screen. Students and co-workers create the perfect atmosphere to drive me creatively. I've taught over 30,000 students in-person, thousands more in online classes, and millions have seen my online videos. I’ve been blessed with an incredibly rewarding life and career. I'm constantly looking for opportunities to be the dumbest person in the room. On a never-ending search for new ways to inspire, educate, and innovate. I hate best practices. Always looking to do things the wrong way.

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.