Danielle Navarro tells the story of: ... watching an animated documentary examining the quaint customs of the natives of the planet Chapek 9. Apparently, in order to gain access to their capital city a visitor must prove that they’re a robot, not a human. In order to determine whether or not a visitor is human, the natives ask whether the visitor prefers puppies, flowers, or large, properly formatted data files. “Pretty clever,” I thought to myself “but what if humans and robots have the same preferences? That probably wouldn’t be a very good test then, would it?” As it happens, I got my hands on the testing data that the civil authorities of Chapek 9 used to check this. It turns out that what they did was very simple. They found a bunch of robots and a bunch of humans and asked them what they preferred. I saved their data in a file called chapek9.csv .... In total there are 180 entries in the data set, one for each person (counting both robots and humans as “people”) who was asked to make a choice. So if there are reliable differences between how robots and humans answer this question, then the question may be useful for deciding who can enter the city. We can conduct a chi-square test of independence to evaluate the extent to which the categories of species and type of answer are independent.   Using the image of the statistical hypothesis test results : Chi-Square Test for Goodness of Fit (1) What were the null and alternative hypotheses for this hypothesis test? (2) In the tested sample, was any sign thrown more often or less often (at a statistically      significant level)? How can you tell? Chi-Square Test for Independence (3) What were the null and alternative hypotheses for this hypothesis test?

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Danielle Navarro tells the story of:

... watching an animated documentary examining the quaint customs of the natives of the planet Chapek 9. Apparently, in order to gain access to their capital city a visitor must prove that they’re a robot, not a human. In order to determine whether or not a visitor is human, the natives ask whether the visitor prefers puppies, flowers, or large, properly formatted data files. “Pretty clever,” I thought to myself “but what if humans and robots have the same preferences? That probably wouldn’t be a very good test then, would it?” As it happens, I got my hands on the testing data that the civil authorities of Chapek 9 used to check this. It turns out that what they did was very simple. They found a bunch of robots and a bunch of humans and asked them what they preferred. I saved their data in a file called chapek9.csv .... In total there are 180 entries in the data set, one for each person (counting both robots and humans as “people”) who was asked to make a choice.

So if there are reliable differences between how robots and humans answer this question, then the question may be useful for deciding who can enter the city. We can conduct a chi-square test of independence to evaluate the extent to which the categories of species and type of answer are independent.
 
Using the image of the statistical hypothesis test results :
Chi-Square Test for Goodness of Fit
(1) What were the null and alternative hypotheses for this hypothesis test?

(2) In the tested sample, was any sign thrown more often or less often (at a statistically
     significant level)? How can you tell?

Chi-Square Test for Independence
(3) What were the null and alternative hypotheses for this hypothesis test?

(4) Were the results statistically significant? How can you tell?

(5) Could these results be used to improve guards’ decisions about whether to allow someone to
enter the city? Explain your answer.

(6) For each answer (data, flower, or puppy) given by someone wanting to enter the city, what
should the guards’ decision be? Explain your answers.

(7) As measured by Cramer’s V, is the effect size small, medium, or large?
species
da choice
robot
flower
Results
human
data
human
data
Contingency Tables
human
data
robot
data
human
flower
Contingency Tables
human
data
choice
robot
data
species
data
flower
Total
human
Addnd
puppy
human
Observed
65
13
15
93
robot
flower
Еxpected
56.3
22.2
14.5
93.0
robot
puppy
robot
Observed
44
30
13
87
human
flower
Eкреcted
52.7
20.8
13.5
87.0
human
data
Total
Observed
109
43
28
180
human
data
Еxpеcted
109.0
43.0
28.0
180.0
human
data
human
data
robot
data
x* Tests
human
data
Value
df
human
data
human
data
10.7
2
0.005
N
180
human
puppy
robot
flower
human
data
Nominal
robot
flower
Value
robot
flower
human
puppy
Phi-coefficient
NaN
robot
data
Cramer's V
0.244
robot
data
robot
data
robot
data
human
data
human
puppy
robot
data
Transcribed Image Text:species da choice robot flower Results human data human data Contingency Tables human data robot data human flower Contingency Tables human data choice robot data species data flower Total human Addnd puppy human Observed 65 13 15 93 robot flower Еxpected 56.3 22.2 14.5 93.0 robot puppy robot Observed 44 30 13 87 human flower Eкреcted 52.7 20.8 13.5 87.0 human data Total Observed 109 43 28 180 human data Еxpеcted 109.0 43.0 28.0 180.0 human data human data robot data x* Tests human data Value df human data human data 10.7 2 0.005 N 180 human puppy robot flower human data Nominal robot flower Value robot flower human puppy Phi-coefficient NaN robot data Cramer's V 0.244 robot data robot data robot data human data human puppy robot data
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