sloths <- read.csv(url("http://whitlockschluter3e.zoology.ubc.ca/Data/chapter11/chap11q26Sl othEars.csv")) sloths variable = sloths$semicircularCanalRatio t.test(data$variable, mu = μ) Perform a one-sample t-test on this dataset to see if the mean of this dataset matches the mean seen in fast species (ratio of 1). What is the p-value of this test? (report to 3 significant digits; example = 0.999)
sloths <- read.csv(url("http://whitlockschluter3e.zoology.ubc.ca/Data/chapter11/chap11q26Sl othEars.csv")) sloths variable = sloths$semicircularCanalRatio t.test(data$variable, mu = μ) Perform a one-sample t-test on this dataset to see if the mean of this dataset matches the mean seen in fast species (ratio of 1). What is the p-value of this test? (report to 3 significant digits; example = 0.999)
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:The semicircular canals of the inner ear are used for equilibrium balance. The shape
of the canal system can influence its function. Researchers have found that fast
moving mammalian species tend to have a roughly circular shape for the canal
system (mean length to width ratio of 1). Studies examining sloth anatomy theorized
that because sloths are slow moving, there is less functional demand upon the
equilibrium system, therefore they may deviate from this spherical shape (have a
more elliptical shape). Researchers measured the length to width ratio of the
semicircular canal system in 7 sloths.
sloths <-
read.csv(url("http://whitlockschluter3e.zoology.ubc.ca/Data/chapter11/chap11q26Sl
othEars.csv"))
sloths
variable = sloths$semicircularCanalRatio
t.test(data$variable, mu = μ)
Search
one-sample t-test on this dataset to see if the mean of this dataset
Transcribed Image Text:sloths <-
read.csv(url("http://whitlockschluter3e.zoology.ubc.ca/Data/chapter11/chap11q26Sl
othEars.csv"))
sloths
variable = sloths$semicircularCanalRatio
t.test(data$variable, mu = µ)
Perform a one-sample t-test on this dataset to see if the mean of this dataset
matches the mean seen in fast species (ratio of 1). What is the p-value of this test?
(report to 3 significant digits; example = 0.999)
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