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August and September 2005, Hurricanes Ka stroyed, and of those that survived, many r due to the large amounts of mold present in homes, 82 had experienced symptoms of w mbers read from a graph). Can you conclud aged homes and those who did not participa ged homes, and let p, be the population pr

August and September 2005, Hurricanes Ka stroyed, and of those that survived, many r due to the large amounts of mold present in homes, 82 had experienced symptoms of w mbers read from a graph). Can you conclud aged homes and those who did not participa ged homes, and let p, be the population pr

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.5: Interpreting Data
Problem 1C
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Hurricane damage: In August and September 2005, Hurricanes Katrina and Rita caused extraordinary flooding in New Orleans, Louisiana. Many homes were severely damaged or destroyed, and of those that survived, many required extensive cleaning. It was thought that cleaning of flood-damaged homes might present a health hazard due to the large amounts of mold present in many of the homes. In a sample of 369 residents of Orleans Parish who had participated in cleaning of one or more homes, 82 had experienced symptoms of wheezing, and in a sample of 174 residents who had not participated in cleaning, 23 reported wheezing symptoms (numbers read from a graph). Can you conclude that there is a difference between the proportion of residents with wheezing symptoms who cleaned flood-damaged homes and those who did not participate in the cleaning? Let p₁ denote the proportion of residents with wheezing symptoms who had cleaned flood-damaged homes, and let p₂ be the population proportion with wheezing symptoms who did not participate in the cleaning of flood-damaged homes. Use the α = 0.10 level of significance and the critical value method. Part 1 of 5 State the null and alternate hypotheses. Ho: P₁ = P₂ H₁: P₁ P₂ This hypothesis test is a two-tailed test. Part: 1 / 5 Part 2 of 5 Find the critical value(s). Round the answer(s) to three decimal places, if necessary. If there is more than one critical value, separate them with commas. Critical value(s): X
Transcribed Image Text:Hurricane damage: In August and September 2005, Hurricanes Katrina and Rita caused extraordinary flooding in New Orleans, Louisiana. Many homes were severely damaged or destroyed, and of those that survived, many required extensive cleaning. It was thought that cleaning of flood-damaged homes might present a health hazard due to the large amounts of mold present in many of the homes. In a sample of 369 residents of Orleans Parish who had participated in cleaning of one or more homes, 82 had experienced symptoms of wheezing, and in a sample of 174 residents who had not participated in cleaning, 23 reported wheezing symptoms (numbers read from a graph). Can you conclude that there is a difference between the proportion of residents with wheezing symptoms who cleaned flood-damaged homes and those who did not participate in the cleaning? Let p₁ denote the proportion of residents with wheezing symptoms who had cleaned flood-damaged homes, and let p₂ be the population proportion with wheezing symptoms who did not participate in the cleaning of flood-damaged homes. Use the α = 0.10 level of significance and the critical value method. Part 1 of 5 State the null and alternate hypotheses. Ho: P₁ = P₂ H₁: P₁ P₂ This hypothesis test is a two-tailed test. Part: 1 / 5 Part 2 of 5 Find the critical value(s). Round the answer(s) to three decimal places, if necessary. If there is more than one critical value, separate them with commas. Critical value(s): X
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