716 CHAPTER 14 Statistical Process Control Control Chart for p Access tech supplements, videos, and data sets at www.TriolaStats.com TECH CENTER Statdisk Visit TriolaStats.com for detailed instructions. StatCrunch 1. Click Stat in the top menu. 2. Select Control Charts from the dropdown menu and p from the submenu. 3. Select the column to be used, select Constant, and enter the size of the individual samples. 4. Click Compute! 5. Click the arrow buttons to switch between the chart and numerical results. Minitab 1. Enter the numbers of defects (or items with any particular attribute) in column C1. 2. Click Stat in the top menu. 3. Select Control Charts from the dropdown menu and select Attribute Charts and P from the submenu. 4. In the Variables box enter column C1. 5. In Subgroup sizes enter the size of the individual samples. 6. Click OK. TI-83, 83 84 Plus Calculator 8 us Ca cu ato Not available. R R command not available at time of publication. Control charts are available in some R packages. R is rapidly evolving, and an updated list of statistical commands is available at TriolaStats.com. Excel XLSTAT Add-In (not available with all XLSTAT licenses) 1. Click on the XLSTAT tab in the Ribbon and then click SPC. 2. Select Attribute charts from the dropdown menu. 3. For Chart Family click Attribute charts and select P chart under Chart type. 4. Click the General tab. 5. In the Data box enter the cell range of the data. If the data range includes a label, check the Column labels box. 6. In the Common subgroup size box enter the sample size that is common to all data entries. 7. Click OK. The results include a p chart. Statistical Literacy and Critical Thinking 1. Minting Quarters Specifications for a quarter require that it be 8.33% nickel and 91.67% copper; it must weigh 5.670 g and have a diameter of 24.26 mm and a thickness of 1.75 mm; and it must have 119 reeds on the edge. A quarter is considered to be defective if it deviates substantially from those specifications. A production process is monitored, defects are recorded and the accompanying control chart is obtained. Does this process appear to be within statistical control? If not, identify any out-of-control criteria that are satisfied. Is the manufacturing process deteriorating? 14-2 Basic Skills and Concepts
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