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Foundations of Inference

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$12

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Inference is an essential aspect of statistical analysis. Inference is the process of drawing conclusions out of data in order to draw conclusions about a larger population. This is a common practice, even though it might seem counterintuitive. We could conclude that the same treatment will lead to equal survival rates to show that it is superior in medicine. This assumption will be disproved by the data. A "p-value" is the agreement level between the data and the hypothesis. We also discuss confidence intervals, which can be used to measure the effect. Which treatment is more effective?

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Introduction to Regression in R

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Hypothesis Testing in R

What You Will Learn

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In this chapter, you will investigate how repeated samples taken from a population can vary. It is the variability in samples that allow you to make claims about the population of interest

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In this chapter, however, the focus will be on different errors (type I and type II), how they are made, when one is worse than another, and how things like sample size and effect size impact the error rates

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In this chapter, you will gain the tools and knowledge to complete a full hypothesis test

Course Instructors

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Jo Hardin

Professor at Pomona College

Jo Hardin is a professor of mathematics and statistics at Pomona College. Her statistical research focuses on developing new robust methods for high throughput data. Recently, she has also worked clo...

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Course Cover

$12

$6

49% OFF

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