Resource assessment exercises: basic statistics additional exercises

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: ''This article is part of the '''Resource assessment exercises'''. See the [[:category:Resource assessment exercises 2014|category page]] for a (chronological) table of contents.
  
 
Take a sample of size <math>n=100</math> from <code>trees</code> and name this sample <code>t.sample</code>. This sample will be used for the exercises.
 
Take a sample of size <math>n=100</math> from <code>trees</code> and name this sample <code>t.sample</code>. This sample will be used for the exercises.
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# Estimate the required sample size for a relative standard error of 1%.
 
# Estimate the required sample size for a relative standard error of 1%.
 
# Estimate the proportion of oak trees. Provide confidence intervals for your estimate.
 
# Estimate the proportion of oak trees. Provide confidence intervals for your estimate.
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==Related articles==
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* Previous article: [[Resource assessment exercises: estimating a proportion|Estimating a proportion]]
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* Next article: [[Resource assessment exercises: Introduction to response designs|Introduction to response designs]]
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[[category:Resource assessment basics in R (2014)|Additional exercises]]

Latest revision as of 15:38, 23 June 2014

This article is part of the Resource assessment exercises. See the category page for a (chronological) table of contents.

Take a sample of size \(n=100\) from trees and name this sample t.sample. This sample will be used for the exercises.

  1. What is the maximum and minimum value for dbh in you sample?
  2. Estimate the mean, variance, standard deviation, and coefficient of variation for the variable height.
  3. Estimate the standard error of the mean for the variable dbh (without applying the fpc). How wide is the confidence interval when we set \(\alpha=0.01\)?
  4. Test whether there is a difference in the estimate of the standard error when you apply the fpc.
  5. Estimate the required sample size for a relative standard error of 1%.
  6. Estimate the proportion of oak trees. Provide confidence intervals for your estimate.

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