In 2001, researchers investigated the effect of weed-killing herbicides on house pets. They examined 840 cats from homes where herbicides were used regularly, diagnosing malignant lymphoma in 445 of them. Of the 116 cats from homes where no herbicides were used, only 20 were found to have lymphoma. a) What is the standard error of the difference in the two proportions? -Let p1 be the sample proportion of cats with lymphoma from homes where herbicides were used regularly and p2 be the sample proportion of cats with lymphoma from homes where no herbicides were used.
In 2001, researchers investigated the effect of weed-killing herbicides on house pets. They examined 840 cats from homes where herbicides were used regularly, diagnosing malignant lymphoma in 445 of them. Of the 116 cats from homes where no herbicides were used, only 20 were found to have lymphoma. a) What is the standard error of the difference in the two proportions? -Let p1 be the sample proportion of cats with lymphoma from homes where herbicides were used regularly and p2 be the sample proportion of cats with lymphoma from homes where no herbicides were used.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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In 2001, researchers investigated the effect of weed-killing herbicides on house pets. They examined 840 cats from homes where herbicides were used regularly, diagnosing malignant lymphoma in 445 of them. Of the 116 cats from homes where no herbicides were used, only 20 were found to have lymphoma.
a) What is the standard error of the difference in the two proportions?
-Let p1 be the sample proportion of cats with lymphoma from homes where herbicides were used regularly and p2 be the sample proportion of cats with lymphoma from homes where no herbicides were used.
The standard error of the difference in the two proportions
SE(p1−p2)=____. (Round to four decimal places as needed.)
b) Create a 99% confidence interval for this difference.
c) State an appropriate conclusion.
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