Parking Meter Revenue A one-sided confidence interval can be found for a mean by using where tα is the value found under the row labeled One tail. Find two one-sided 99% confidence intervals of the population mean for the data shown, and interpret the answers. The data represent the daily revenues in dollars from 19 parking meters in a small municipality. Round your answers to at least three decimal places. >μ−Xtαsn or <μ+Xtαsn 2.58 1.28 2.38 2.78 0.98 1.03 3.08 2.33 2.48 2.73 2.43 2.33 2.38 2.08 1.78 2.88 1.98 1.93 1.73 A 99% lower confidence bound is >μ$ A 99% upper confidence bound is <μ$ .
Parking Meter Revenue A one-sided confidence interval can be found for a mean by using where tα is the value found under the row labeled One tail. Find two one-sided 99% confidence intervals of the population mean for the data shown, and interpret the answers. The data represent the daily revenues in dollars from 19 parking meters in a small municipality. Round your answers to at least three decimal places. >μ−Xtαsn or <μ+Xtαsn 2.58 1.28 2.38 2.78 0.98 1.03 3.08 2.33 2.48 2.73 2.43 2.33 2.38 2.08 1.78 2.88 1.98 1.93 1.73 A 99% lower confidence bound is >μ$ A 99% upper confidence bound is <μ$ .
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Parking Meter Revenue A one-sided confidence interval can be found for a mean by using where tα is the value found under the row labeled One tail. Find two one-sided 99% confidence intervals of the population mean for the data shown, and interpret the answers. The data represent the daily revenues in dollars from 19 parking meters in a small municipality. Round your answers to at least three decimal places.
>μ−Xtαsn
or
<μ+Xtαsn
2.58
|
1.28
|
2.38
|
2.78
|
0.98
|
1.03
|
3.08
|
2.33
|
2.48
|
2.73
|
2.43
|
2.33
|
2.38
|
2.08
|
1.78
|
2.88
|
1.98
|
1.93
|
1.73
|
A
99%
>μ$
A 99% upper confidence bound is <μ$
|
|
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