Quality Quiz from Professor Cleary
Congratulations:
"B" is correct.
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There are four types of data:
- Nominal. The word “nominal” comes from a Latin word, meaning “name.” Nominal data allows for distinctions to be made between items, such as male or female; programmer or nonprogrammer; rainy or not rainy, day shift or night shift, etc.
- Ordinal data. The word ordinal comes from another Latin word, meaning “order.” Ordinal data identifies distinctions among items with respect to degree or order: e.g., male, female; small, medium, large; short, tall; or big, little.
- Interval data. Interval data reflects a measurement of the difference between items. The distance between 6 and 7 is the same as that between 1 and 2.
$2,400 and $2,200 = difference $200
6 feet and 5 feet = one foot difference
10 days and 2 days = eight days difference
- Ratio data. Distinguishes among items using a common denominator, that is, percentage. Ratio data has a defined origin—zero.
My day class is 50 percent female.
My evening class is 30 percent female.
30 percent of part A are bad
20 percent of part B are bad
Raney has ratio (commonly known in SPC as attribute) data, rather than interval data. A p-chart or an np-chart would be appropriate to use in this case. Note: Under some circumstances, some would suggest that an X-MR chart is the right choice here.
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