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Copy and paste the following code to load the dataset for the next few questions into R: fire <- read.csv(url("http://whitlockschluter.zoology.ubc.ca/wp- content/data/chapter09/chap09q07FrogsFire.csv")) firetable <- table(fire$direction, fire$sound) firetable Scientists observed that Reed Frogs that live in fire-prone habitats of West Africa honned away from grass fires lo

Copy and paste the following code to load the dataset for the next few questions into R: fire <- read.csv(url("http://whitlockschluter.zoology.ubc.ca/wp- content/data/chapter09/chap09q07FrogsFire.csv")) firetable <- table(fire$direction, fire$sound) firetable Scientists observed that Reed Frogs that live in fire-prone habitats of West Africa honned away from grass fires lo

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Copy and paste the following code to load the dataset for the next few questions into R: fire <- read.csv(url("http://whitlockschluter.zoology.ubc.ca/wp- content/data/chapter09/chap09q07FrogsFire.csv")) firetable <- table(fire$direction, fire$sound) firetable Scientists observed that Reed Frogs that live in fire-prone habitats of West Africa hopped away from grass fires long before the flames reached their position. They hypothesized that the frogs were responding to sound stimuli of fires in order to make early escapes. To test this hypothesis, they set up an experiment with Reed Frogs. In this experiment, they played one of three different recordings to frog subjects and observed their behavior. The three recordings were an actual recording of a grass fire, a recording of the grass fire played backwards, and a recording of white noise. The frogs were then observed to see if they hopped away from the recording or didn't hop away from the recording. Each of these recordings had twenty observational trails. The data are summarized in the firetable dataset loaded into R (backwards is recording played backward, fire is the fire recording, noise is the white noise recording). Perform a chi-square contingency test on this dataset in R. What is the value of the chi-squared test statistic?
Transcribed Image Text:Copy and paste the following code to load the dataset for the next few questions into R: fire <- read.csv(url("http://whitlockschluter.zoology.ubc.ca/wp- content/data/chapter09/chap09q07FrogsFire.csv")) firetable <- table(fire$direction, fire$sound) firetable Scientists observed that Reed Frogs that live in fire-prone habitats of West Africa hopped away from grass fires long before the flames reached their position. They hypothesized that the frogs were responding to sound stimuli of fires in order to make early escapes. To test this hypothesis, they set up an experiment with Reed Frogs. In this experiment, they played one of three different recordings to frog subjects and observed their behavior. The three recordings were an actual recording of a grass fire, a recording of the grass fire played backwards, and a recording of white noise. The frogs were then observed to see if they hopped away from the recording or didn't hop away from the recording. Each of these recordings had twenty observational trails. The data are summarized in the firetable dataset loaded into R (backwards is recording played backward, fire is the fire recording, noise is the white noise recording). Perform a chi-square contingency test on this dataset in R. What is the value of the chi-squared test statistic?
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