1 / 35
文档名称:

Attribute R&R.xls

格式:xls   页数:35页
下载后只包含 1 个 XLS 格式的文档,没有任何的图纸或源代码,查看文件列表

如果您已付费下载过本站文档,您可以点这里二次下载

Attribute R&R.xls

上传人:管理资源吧 2012/2/21 文件大小:0 KB

下载得到文件列表

Attribute R&R.xls

文档介绍

文档介绍:Attribute Gage R & R Effectiveness

Instructions:

1) The following spreadsheet is used to calculate an Attribute GR&R Effectiveness, in which up to
100 samples can be evaluated, using 2 or 3 operators.
2) In the Data Entry worksheet fill in the appropriate information in the Scoring Report section and
enter the type of Attributes you are evaluating in the Attribute Legend section. YOU MUST ENTER
THE INFORMATION IN THE ATTRIBUTE LEGEND SECTION OR THE SPREADSHEET
WILL NOT WORK. The attributes can be either alpha or numeric, . Yes, No; pass, fail;
go, stop; or 1, 2. You must be consistent throughout the form and spell properly.
3) If you or an expert has selected samples to be evaluated and you know what attributes these
samples are, enter this information in the Attribute sample column. This will enable you to determine
how well each operator can evaluate a set of samples against a known standard. You do not
need to enter information in this column for the spreadsheet to work although you will
not be able to assess the operators against known standards.
4) You do not have to specify how many operators or the # of samples that you will be evaluating
during the test. Simply enter the data into the spreadsheet under the specific operator. Remember
the attributes must be spelled properly or the spreadsheet will not analyze the data correctly.
5) To print a copy of the report click on the Print Report icon.
6) To delete the data in the spreadsheet, click on the Delete Data icon.
7) To delete all and begin a new test, click on the Delete All icon
8) To see a Demo of the Attribute GR&R Effectiveness spreadsheet, click on the Demo icon.
Move around the spread sheet to see the data. When you are finished click the Delete All icon
to delete all data to begin entering your own data.



The 95% UCL and 95% LCL represent the 95% upper and lower confidence limits on the
binomial distribution. The