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Courses>Programming Languages>Inference for Numerical Data in R
Data ScienceInference for Numerical Data in R
Price:Paid
Length:4 Hours
Language:English
Content type:video
level:advanced
Updated:19 February 2024
Published:13 September 2022
Similar courses
Opportunities
Courses>Programming Languages>Inference for Numerical Data in R
Inference for Numerical Data in R
4 Hours
10176 students
Syllabus
In this chapter you'll use bootstrapping techniques to estimate a single parameter from a numerical distribution.
In this chapter you'll use bootstrapping techniques to estimate a single parameter from a numerical distribution.
In this chapter you'll use Central Limit Theorem based techniques to estimate a single parameter from a numerical distribution. You will do this using the t-distribution.
In this chapter you'll extend what you have learned so far to use both simulation and CLT based techniques for inference on the difference between two parameters from two independent numerical distributions.
In this chapter you will use ANOVA (analysis of variance) to test for a difference in means across many groups.
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Careertail
Courses>Programming Languages>Inference for Numerical Data in R
Data ScienceInference for Numerical Data in R
Price:Paid
Length:4 Hours
Language:English
Content type:video
level:advanced
Updated:19 February 2024
Published:13 September 2022
Similar courses
Opportunities
Courses>Programming Languages>Inference for Numerical Data in R
Inference for Numerical Data in R
4 Hours
10176 students
Syllabus
In this chapter you'll use bootstrapping techniques to estimate a single parameter from a numerical distribution.
In this chapter you'll use bootstrapping techniques to estimate a single parameter from a numerical distribution.
In this chapter you'll use Central Limit Theorem based techniques to estimate a single parameter from a numerical distribution. You will do this using the t-distribution.
In this chapter you'll extend what you have learned so far to use both simulation and CLT based techniques for inference on the difference between two parameters from two independent numerical distributions.
In this chapter you will use ANOVA (analysis of variance) to test for a difference in means across many groups.
Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot