Researchers set up an experiment with 4 cups clustered on a ping pong table. Th then set up a robot arm to bounce a ping pong ball towards the cups such that each toss was consistent. Their null hypothesis that they were testing was that which cup the ball landed in was random (0.25 probability of landing in each cup). They performed 40 tosses and got the following data for number of landings in each cup: cup 1: 7 landings; cup 2: 12 landings; cup 3: 13 landings; cup 4: 8 landings. Set up and perform a chi-square analysis on this data in R to test if the data matches the hypothesis that cup landings were random: obs
Researchers set up an experiment with 4 cups clustered on a ping pong table. Th then set up a robot arm to bounce a ping pong ball towards the cups such that each toss was consistent. Their null hypothesis that they were testing was that which cup the ball landed in was random (0.25 probability of landing in each cup). They performed 40 tosses and got the following data for number of landings in each cup: cup 1: 7 landings; cup 2: 12 landings; cup 3: 13 landings; cup 4: 8 landings. Set up and perform a chi-square analysis on this data in R to test if the data matches the hypothesis that cup landings were random: obs
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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Transcribed Image Text:Researchers set up an experiment with 4 cups clustered on a ping pong table. The
then set up a robot arm to bounce a ping pong ball towards the cups such that
each toss was consistent. Their null hypothesis that they were testing was that
which cup the ball landed in was random (0.25 probability of landing in each cup).
They performed 40 tosses and got the following data for number of landings in
each cup:
cup 1: 7 landings;
cup 2: 12 landings;
cup 3: 13 landings;
cup 4: 8 landings.
Set up and perform a chi-square analysis on this data in R to test if the data
matches the hypothesis that cup landings were random:
obs <-
- c(x,y,z,n)
Transcribed Image Text:cup 3: 13 landings;
cup 4: 8 landings.
Set up and perform a chi-square analysis on this data in R to test if the data
matches the hypothesis that cup landings were random:
obs<-c(x,y,z,n)
probvec <-c(x,y,z,n)
chisq.test(obs, p=probvec)
What is the p-value of this test? (please report to 3 decimals, example = 0.999)
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