Some breeds of dogs, like bloodhounds, have been bred to perform well on scent detection, and some

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Some breeds of dogs, like bloodhounds, have been bred to perform well on scent detection, and some breeds have not. So how do these different types of dogs compare on a scent detection test, and how do they compare to wolves? Researchers tried to answer these questions by comparing four groups of animals: dogs bred for scent detection, dogs bred for other purposes, dogs with exaggerated short-nose features like a bulldog, and wolves (Polgár et al., 2016). They tested 12 wolves that were raised in captivity and 41 dogs from the three groups. To test the animals, the researchers placed four ceramic flowerpots flipped over so there was a small hole at the top. Under each pot was a plastic container. Three of these containers were empty, and one contained raw turkey meat. The animals were tested 20 times each under various levels of difficulty. The easiest level had no lid on the plastic container. They then had harder levels with five, three, and one small hole on the lid of the plastic container. The most difficult level had no holes in the lid of the plastic container. Each dog was tested four times under each condition for a total of 20 times. The results of how many times each animal picked the container with the raw turkey in it are in the file DogSmells. 

a. State the hypotheses in words or symbols. 

b. Put the data into the Multiple Means applet. Which type of animal had the highest mean score? Which had the lowest? 

c. What is the value of the Mean Group Diff statistic? 

d. Use simulation-based inference to find a p-value. 

e. There are two outliers in the dataset. One of the short-nose dogs and one of the dogs not bred for scent only got three correct. Perhaps these dogs were confused as to what to do. Remove them from the dataset. What are the new Mean Group Diff statistic and p-value? 

f. In part (e), you should have found that the Mean Group Diff statistic decreased (meaning the means are now a little closer together on average), but the p-value also decreased. This seems backward. Explain how this can happen and why this should make sense.

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Introduction To Statistical Investigations

ISBN: 9781119683452

2nd Edition

Authors: Beth L.Chance, George W.Cobb, Allan J.Rossman Nathan Tintle, Todd Swanson Soma Roy

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