Random samples of 110 homes in Kingston, Ontario (₁) and 100 homes in Owen Sound, Ontario (₂) were selected. Each home was examined for the presence of asbestos, and it was found that 20 homes in Owen Sound and 35 homes in Kingston had some presence of asbestos. We would like to test whether the proportion of homes with asbestos in Kingston (p₁) is greater than the proportion of homes in Owen Sound with asbestos (p2). What test statistic should we use? Here, we will denote by p the proportion of homes with asbestos in Kingston and Owen Sound combined. Select one: a. Z = b. Z= P1-P₂ √p(1-p)(1/n₁+1/m₂) P1-P₂ N(0, 1) √(P₁(1-P₁)/n₁ +P₂(1-P₂)/n₂) (Ek-Ok)² Ek ~ N(0, 1) O c. X² = Σ1/21 x, where Ek is the expected number of observations, an Ok is the actual number of observations, in the cells of the contingency table corresponding to this problem.

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Part a and b as well as C) What is the upper endpoint of this confidence interval? Give answer to 3 decimal places.
Random samples of 110 homes in Kingston, Ontario (n₁) and 100 homes in Owen Sound,
Ontario (1₂) were selected. Each home was examined for the presence of asbestos, and it was
found that 20 homes in Owen Sound and 35 homes in Kingston had some presence of
asbestos.
We would like to test whether the proportion of homes with asbestos in Kingston (p₁) is greater
than the proportion of homes in Owen Sound with asbestos (p2). What test statistic should we
use? Here, we will denote by p the proportion of homes with asbestos in Kingston and Owen
Sound combined.
Select one:
a. Z =
O b. Z
=
P1-P₂
√p(1-p)(1/n₁+1/m₂)
P1-P₂
N(0, 1)
√(P₁(1¬Â₁)/n₁ +Â₂(1-P₂)/n₂)
(Ek-Ok)²
Ek
~
N(0, 1)
c. X² = ₁=1
Ok is the actual number of observations, in the cells of the contingency table
corresponding to this problem.
X, where Ek is the expected number of observations, and
Transcribed Image Text:Random samples of 110 homes in Kingston, Ontario (n₁) and 100 homes in Owen Sound, Ontario (1₂) were selected. Each home was examined for the presence of asbestos, and it was found that 20 homes in Owen Sound and 35 homes in Kingston had some presence of asbestos. We would like to test whether the proportion of homes with asbestos in Kingston (p₁) is greater than the proportion of homes in Owen Sound with asbestos (p2). What test statistic should we use? Here, we will denote by p the proportion of homes with asbestos in Kingston and Owen Sound combined. Select one: a. Z = O b. Z = P1-P₂ √p(1-p)(1/n₁+1/m₂) P1-P₂ N(0, 1) √(P₁(1¬Â₁)/n₁ +Â₂(1-P₂)/n₂) (Ek-Ok)² Ek ~ N(0, 1) c. X² = ₁=1 Ok is the actual number of observations, in the cells of the contingency table corresponding to this problem. X, where Ek is the expected number of observations, and
We would next like to construct a 95%
confidence interval for the difference
P₁ P2. What is the lower endpoint of
this confidence interval? Give answer to 3
decimal places.
-
Answer:
Transcribed Image Text:We would next like to construct a 95% confidence interval for the difference P₁ P2. What is the lower endpoint of this confidence interval? Give answer to 3 decimal places. - Answer:
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