Parking Meter Revenue A one-sided confidence interval can be found for a mean by using S S H> X−1₁+√ °² μ< X+1₂√√₁ X-ta or ta where to is the value found under the row labeled One tail. Find two one-sided 90% confidence intervals of the population mean for the data shown, and interpret the answers. The data represent the daily revenues in dollars from 16 parking meters in a small municipality. Round your answers to at least three decimal places. 2.59 1.29 2.39 2.79 0.99 1.04 3.09 2.34 2.49 2.74 2.44 2.34 2.39 2.09 1.79 2.89

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A 90% lower confidence bound is u> $
A 90% upper confidence bound is u < $
Transcribed Image Text:A 90% lower confidence bound is u> $ A 90% upper confidence bound is u < $
Parking Meter Revenue A one-sided confidence interval can be found for a mean by using
μ> X-ta
S
In
or p
or μ< X+ta
n
where to is the value found under the row labeled One tail. Find two one-sided 90% confidence intervals of the population
mean for the data shown, and interpret the answers. The data represent the daily revenues in dollars from 16 parking
meters in a small municipality. Round your answers to at least three decimal places.
2.59 1.29 2.39 2.79
0.99 1.04 3.09 2.34
2.49 2.74 2.44 2.34
2.39 2.09 1.79 2.89
Transcribed Image Text:Parking Meter Revenue A one-sided confidence interval can be found for a mean by using μ> X-ta S In or p or μ< X+ta n where to is the value found under the row labeled One tail. Find two one-sided 90% confidence intervals of the population mean for the data shown, and interpret the answers. The data represent the daily revenues in dollars from 16 parking meters in a small municipality. Round your answers to at least three decimal places. 2.59 1.29 2.39 2.79 0.99 1.04 3.09 2.34 2.49 2.74 2.44 2.34 2.39 2.09 1.79 2.89
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