She divides the park into 10 rectangles of equal area. She then randomly selects five trees to measure from each area. She measures 50 trees that are closest to the parking lot. She sorts the data set by tree identification code. She uses random number generator to select the first tree to measure. She then selects every 30th tree in the data set until her sample contains 50 trees. She sorts the data set by location and then gives each tree a unique number ranging from 1 to 1000. She selects the trees to measure by creating a list of 50 randomly generated numbers between 1 and 1000. She divides the data set into five groups, one for each species of tree in the park. She then selects two of the groups at random and forms her sample from the individuals in those groups.
She divides the park into 10 rectangles of equal area. She then randomly selects five trees to measure from each area. She measures 50 trees that are closest to the parking lot. She sorts the data set by tree identification code. She uses random number generator to select the first tree to measure. She then selects every 30th tree in the data set until her sample contains 50 trees. She sorts the data set by location and then gives each tree a unique number ranging from 1 to 1000. She selects the trees to measure by creating a list of 50 randomly generated numbers between 1 and 1000. She divides the data set into five groups, one for each species of tree in the park. She then selects two of the groups at random and forms her sample from the individuals in those groups.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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Transcribed Image Text:Question 10 of 10
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Suppose a forester wants to estimate of the average size of the trees in her local park. She already has a data set that contains
the unique identification number, species identity, and location for each of the 1000 trees in the park. She decides to estimate
the trunk diameter of the population from a sample of trees. She identifies five different methods of sampling the trees. Match
the sampling method to each of the following descriptions.
She divides the park into 10 rectangles of equal area. She then randomly selects five trees to
measure from each area.
She measures 50 trees that are closest to the parking lot.
She sorts the data set by tree identification code. She uses random number generator to select
the first tree to measure. She then selects every 30th tree in the data set until her sample
contains 50 trees.
She sorts the data set by location and then gives each tree a unique number ranging from
1 to 1000. She selects the trees to measure by creating a list of 50 randomly generated numbers
between 1 and 1000.
She divides the data set into five groups, one for each species of tree in the park. She then
selects two of the groups at random and forms her sample from the individuals in those groups.
Answer Bank
cluster
stratified
simple random
systematic
convenience
0000
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