The data represents the body mass index (BMI) values for 20 females. Construct a frequency distribution beginning with a lower
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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:
In order to find the solution by graphing we need to make two equation with x and y terms
we use Left hand side 4x^2 for first equation and right side x^2 -7 for second equation.
So the equation becomes
first equation
Second equation
are the system of equations that can be graphed to find solution