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  3. University Of Cape Town (UCT)
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5. Introduction to R - Hypothesis Testing
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  • Course
  • STA1007S (STA1007S)
  • Institution
  • University Of Cape Town (UCT)

This is the final session. By the end of this session you should be fairly comfortable with the program. This session focuses on hypothesis testing. You will cover the correlation function - c() a look at the additional types of t-tests R is capable of running - t.test() You will look at a differen...

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Document information

  • July 23, 2018
  • 50
  • 2017/2018
  • Presentation
  • Unknown

Subjects

  • hypothesis testing
  • alternate hypothesis
  • null hypothesis
  • chi squared test
  • regression model
  • correlation coefficient
  • goodness of fit
  • association test
  • continge
  • ha
  • h0
  • chisqtest
  • ttest
  • lm
  • pc
  • cor

Written for

  • University of Cape Town (UCT)
  • STA1007S (STA1007S)
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Content preview

Introduction to R –
Hypothesis Testing
Final Session

,Part 1: cor()
Use the data file ‘eggmass’

,cor()
• You’ll be using four sets of data, links are provided
• Locate the first file (you previously used it; it’s called ‘eggmass’)

• Begin as usual
• Clear your working space
• Set your working directory and
• Read in the csv file ‘eggmass’ creating the object ‘eggs’

, cor()
• This file; eggmass, contains the mass of eggs from three different
sites: A, B and C
• Lets investigate this data file (summary())
• siteA contains all the masses from site A and same principle for site

• Let’s calculate the correlation coefficient between the mass of egg
from A and B

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