Quality control for irrigation data. Refer to Exercise

Chapter 13, Problem 30E

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QUESTION:

Quality control for irrigation data. Refer to Exercise 13.14 (p. 13-30) and the monitoring of irrigation data by the CIMIS. Recall that daily minimum air temperatures \((^{\circ}C)\) collected hourly during the month of May at the Davis CIMIS station yielded the following summary statistics (where five measurements are collected each hour):  \(\overline{\bar{x}}=10.16^{\circ} \text { and } \bar{R}=14.87^{\circ}\)

a. Use the information provided to find the lower and upper control limits for an R-chart.

b. Suppose that one day in May the air temperature at the Davis CIMIS station had a high of \(24.7^{\circ}\) and a low of \(2.2^{\circ}\). How should the manager of the station respond to this observation?

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QUESTION:

Quality control for irrigation data. Refer to Exercise 13.14 (p. 13-30) and the monitoring of irrigation data by the CIMIS. Recall that daily minimum air temperatures \((^{\circ}C)\) collected hourly during the month of May at the Davis CIMIS station yielded the following summary statistics (where five measurements are collected each hour):  \(\overline{\bar{x}}=10.16^{\circ} \text { and } \bar{R}=14.87^{\circ}\)

a. Use the information provided to find the lower and upper control limits for an R-chart.

b. Suppose that one day in May the air temperature at the Davis CIMIS station had a high of \(24.7^{\circ}\) and a low of \(2.2^{\circ}\). How should the manager of the station respond to this observation?

ANSWER:

Step 1 of 3

Here we collected the data hourly during the month of May at the Davis CIMIS station

and we get the summary statistics as follows:

Also we have informed that 5 measurements are collected each hour. That means n = 5

a)  In order to construct the control limits, we need an estimator of  and it is given

     by

     

     From the table values we have  = 2.326 and  = 0.864

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