The Excel file Room Inspection provides data for 100 room inspections at 25 hotels in a major chain. Management would like the proportion of nonconforming rooms to be less than 2%. Test an appropriate hypothesis to determine if management can make this claim. Sample Rooms Inspected Nonconforming Rooms Fraction Nonconforming 1 100 3 0.03 2 100 1 0.01 3 100 0 0.00 4 100 0 0.00 5 100 2 0.02 6 100 5 0.05 7 100 3 0.03 8 100 6 0.06 9 100 1 0.01 10 100 4 0.04 11 100 0 0.00 12 100 2 0.02 13 100 1 0.01 14 100 3 0.03 15 100 4 0.04 16 100 1 0.01 17 100 1 0.01 18 100 2 0.02 19 100 5 0.05 20 100 2 0.02 21 100 3 0.03 22 100 4 0.04 23 100 1 0.01 24 100 0 0.00 25 100 1 0.01
The Excel file Room Inspection provides data for 100 room inspections at 25 hotels in a major chain. Management would like the proportion of nonconforming rooms to be less than 2%. Test an appropriate hypothesis to determine if management can make this claim. Sample Rooms Inspected Nonconforming Rooms Fraction Nonconforming 1 100 3 0.03 2 100 1 0.01 3 100 0 0.00 4 100 0 0.00 5 100 2 0.02 6 100 5 0.05 7 100 3 0.03 8 100 6 0.06 9 100 1 0.01 10 100 4 0.04 11 100 0 0.00 12 100 2 0.02 13 100 1 0.01 14 100 3 0.03 15 100 4 0.04 16 100 1 0.01 17 100 1 0.01 18 100 2 0.02 19 100 5 0.05 20 100 2 0.02 21 100 3 0.03 22 100 4 0.04 23 100 1 0.01 24 100 0 0.00 25 100 1 0.01
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 7CR
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Question
The Excel file Room Inspection provides data for 100 room inspections at 25 hotels in a major chain. Management would like the proportion of nonconforming rooms to be less than 2%. Test an appropriate hypothesis to determine if management can make this claim.
| Sample | Rooms Inspected | Nonconforming Rooms | Fraction Nonconforming |
| 1 | 100 | 3 | 0.03 |
| 2 | 100 | 1 | 0.01 |
| 3 | 100 | 0 | 0.00 |
| 4 | 100 | 0 | 0.00 |
| 5 | 100 | 2 | 0.02 |
| 6 | 100 | 5 | 0.05 |
| 7 | 100 | 3 | 0.03 |
| 8 | 100 | 6 | 0.06 |
| 9 | 100 | 1 | 0.01 |
| 10 | 100 | 4 | 0.04 |
| 11 | 100 | 0 | 0.00 |
| 12 | 100 | 2 | 0.02 |
| 13 | 100 | 1 | 0.01 |
| 14 | 100 | 3 | 0.03 |
| 15 | 100 | 4 | 0.04 |
| 16 | 100 | 1 | 0.01 |
| 17 | 100 | 1 | 0.01 |
| 18 | 100 | 2 | 0.02 |
| 19 | 100 | 5 | 0.05 |
| 20 | 100 | 2 | 0.02 |
| 21 | 100 | 3 | 0.03 |
| 22 | 100 | 4 | 0.04 |
| 23 | 100 | 1 | 0.01 |
| 24 | 100 | 0 | 0.00 |
| 25 | 100 | 1 | 0.01 |
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Step 1: Providing given information:
VIEWStep 2: Stating null and alternate hypothesis:
VIEWStep 3: Determining tail of the test and significance level of the test:
VIEWStep 4: Determining decision rule:
VIEWStep 5: Calculating test statistics and p-value:
VIEWStep 6: Making decision and concluding the results:
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