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Inference for Numerical Data in R

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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

This course will show you how to use statistical methods for inferring and estimating numerical data. This course will cover two common methods to accomplish these tasks. To create confidence intervals, and tests based upon resamples, the first method uses bootstrapping. The second uses theoretical results and the t-distribution method to achieve the same result. Learn how to perform an ANOVA, create confidence intervals and conduct a t-test.

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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Foundations of Inference

What You Will Learn

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In this course you'll learn techniques for performing statistical inference on numerical data

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In this course, you'll learn how to use statistical techniques to make inferences and estimations using numerical data

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You'll learn how (and when) to perform a t-test, create a confidence interval, and do an ANOVA!

Course Instructors

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Mine Cetinkaya-Rundel

Associate Professor at Duke University & Data Scientist and Professional Educator at RStudio

Mine is the Director of Undergraduate Studies and an Associate Professor of the Practice in the Department of Statistical Science at Duke University as well as a Professional Educator at RStudio. Her...

Course Reviews

Average Rating Based on 3 reviews

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Course Cover

$12

$6

49% OFF

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