If mp₁, ma₁, np₂, and no₂ are at least 10, we can use the large-sample test procedure with an approximately standard normal distribution. The variables m and n are the sample sizes of Brand A and Brand 8, respectively, p₁ and ₂ are the sample proportions of non- contaminated chickens of Brand A and Brand B, respectively, and 4₁- 1- P₁ and 421-P₂. Recall that 38 of 80 chickens from Brand A tested positive, so the number of non-contaminated chickens is 80-38- contaminated Brand A chickens divided by the total number of Brand A chickens, or p₁ - The value of P₁ is the number of non- Calculate mp mp₁80[ Recall that 4₁ -1- P₁. Calculate ma ma₁ - 80(1-₁) -80(1-[ We are told that 64 of 80 chickens from Brand B tested positive, so the number of non-contaminated chickens is 80 - 64 - P₂-L Calculate np₂- np₂-80([ Calculate ng₂, where d₂ - 1-P₂- nd₂-80(1-₂) 80(1-[ - The value of ₂ is the number of non-contaminated Brand B chickens divided by the total number of chickens of Brand B, or Referring to the values calculated above, the number of values less than or equal to 10 is-Select-, so we ---Select-- use the large-sample test procedure for this data. Submit Skip (you cannot come back)

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Step 2
The value of $₁ is the number of non-
If mp ₁, ma₁, np₂, and no₂ are at least 10, we can use the large-sample test procedure with an approximately standard normal distribution. The variables m and n are the sample sizes of Brand A and Brand B, respectively, p₁ and 2 are the sample proportions of non-
contaminated chickens of Brand A and Brand B, respectively, and ₁ = 1 - ₁ and ₂ = 1 - P₂. Recall that 38 of 80 chickens from Brand A tested positive, so the number of non-contaminated chickens is 80 - 38 =
contaminated Brand A chickens divided by the total number of Brand A chickens, or p ₁ =
Calculate mp₁.
= 80(
mp₁
Recall that ₁1 - ₁. Calculate ma₁.
ma₁ = 80(1-p₁)
80(1-
We are told that 64 of 80 chickens from Brand B tested positive, so the number of non-contaminated chickens is 80 - 64 =
P₂ =
Calculate np₂.
np₂ = 80
Calculate n4₂, where
na₂ = 80(1-₂)
80(1 – [
= 1-P₂-
The value of 2 is the number of non-contaminated Brand B chickens divided by the total number of chickens of Brand B, or
Referring to the values calculated above, the number of values less than or equal to 10 is ---Select--- , so we ---Select--- use the large-sample test procedure for this data.
Submit Skip (you cannot come back)
Transcribed Image Text:Step 2 The value of $₁ is the number of non- If mp ₁, ma₁, np₂, and no₂ are at least 10, we can use the large-sample test procedure with an approximately standard normal distribution. The variables m and n are the sample sizes of Brand A and Brand B, respectively, p₁ and 2 are the sample proportions of non- contaminated chickens of Brand A and Brand B, respectively, and ₁ = 1 - ₁ and ₂ = 1 - P₂. Recall that 38 of 80 chickens from Brand A tested positive, so the number of non-contaminated chickens is 80 - 38 = contaminated Brand A chickens divided by the total number of Brand A chickens, or p ₁ = Calculate mp₁. = 80( mp₁ Recall that ₁1 - ₁. Calculate ma₁. ma₁ = 80(1-p₁) 80(1- We are told that 64 of 80 chickens from Brand B tested positive, so the number of non-contaminated chickens is 80 - 64 = P₂ = Calculate np₂. np₂ = 80 Calculate n4₂, where na₂ = 80(1-₂) 80(1 – [ = 1-P₂- The value of 2 is the number of non-contaminated Brand B chickens divided by the total number of chickens of Brand B, or Referring to the values calculated above, the number of values less than or equal to 10 is ---Select--- , so we ---Select--- use the large-sample test procedure for this data. Submit Skip (you cannot come back)
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