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Answer:
The p-value of the test statistic from the standard normal table is 0.0017 which is less than the level of significance therefore, the null hypothesis would be rejected and it can be concluded that there is sufficient evidence to support the claim that less than 20% of the pumps are inaccurate.
Step-by-step explanation:
Here, 1304 gas pumps were not pumping accurately and 5689 pumps were accurate.
x = 1304, n = 1304 + 5689 = 6993
The level of significance = 0.01
The sample proportion of pump which is not pumping accurately can be calculated as,
The claim is that the industry representative less than 20% of the pumps are inaccurate.
The hypothesis can be constructed as:
H0: p = 0.20
H1: p < 0.20
The one-sample proportion Z test will be used.
The test statistic value can be obtained as:

Answer:
- The hikers carried 17.5 litres of water
- The Koshy family travled 34.5 km while visiting Delhi
Step-by-step explanation:
1-
Multiply 1.75 liters by 10 (the number of days there were hiking) : 17.5 litres
2-
Multiply 11.5 km by 3 (the number of days visiting Delhi) : 34.5 km
Answer:
(4+5)+(3+3) because you have eto break up the numbers