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hourly rates (in pesos). The data is as follows: City of Manila 190 140 130 Quezon City 179 150 120 Is there sufficient evidence to indicate a difference a = 0.10? Solution: 1. State the hypotheses.

hourly rates (in pesos). The data is as follows: City of Manila 190 140 130 Quezon City 179 150 120 Is there sufficient evidence to indicate a difference a = 0.10? Solution: 1. State the hypotheses.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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5. The economist wants to compare the hourly rates charges by automobile mechanics in two major cities in Metro Manila. He randomly selects auto repair facilities from both cities and records their hourly rates (in pesos). The data is as follows: City of Manila 190 140 130 212 205 168 135 180 Quezon City 179 150 120 156 175 160 180 200 Is there sufficient evidence to indicate a difference in the mean hourly rates from these two cities, at a = 0.10? Solution: 1. State the hypotheses. но: H1: 2. The level of significance and critical region. a = df = and tcritical = 3. Complete the table and compute for the value of t test. X1 X2 (X1 –X¡)? (X2 –X2)² E x, = ΣΧ X1 =. X2 = E (x, -x,)' = E(x, -x,)' =, s,? = tcomputed = 4. Decision Rule. 5. Conclusion:
Transcribed Image Text:5. The economist wants to compare the hourly rates charges by automobile mechanics in two major cities in Metro Manila. He randomly selects auto repair facilities from both cities and records their hourly rates (in pesos). The data is as follows: City of Manila 190 140 130 212 205 168 135 180 Quezon City 179 150 120 156 175 160 180 200 Is there sufficient evidence to indicate a difference in the mean hourly rates from these two cities, at a = 0.10? Solution: 1. State the hypotheses. но: H1: 2. The level of significance and critical region. a = df = and tcritical = 3. Complete the table and compute for the value of t test. X1 X2 (X1 –X¡)? (X2 –X2)² E x, = ΣΧ X1 =. X2 = E (x, -x,)' = E(x, -x,)' =, s,? = tcomputed = 4. Decision Rule. 5. Conclusion:
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