【正文】 oint and select a blank slide…. ?Go to Edit…. Paste Special... Transferring the Analysis... ?Select “Picture (Enhanced Metafile)… This will give you the best graphics with the least amount of trouble. Transferring the Analysis... ?Our Minitab graph is now pasted into the powerpoint presentation…. We can now size and position it accordingly…. Transferring the Analysis... ?Now we can copy the analysis from the Session window….. ?Highlight the text you want to copy…. ?Select Edit….. Copy….. Transferring the Analysis... ?Now go back to your powerpoint presentation….. ?Select Edit….. Paste….. Transferring the Analysis... ?Well we got our data, but it is a bit large….. ?Reduce the font to 12 and we should be ok….. Presenting the results.... ?Now all we need to do is tune the presentation….. ?Here we position the graph and summary and put in the appropriate takeaway... ?Then we are ready to present…. Graphic Capabilities 37 Pareto Chart.... ?Let’s generate a Pareto Chart from a set of data…. ?Go to File… Open Project…. Load the file …. ?Now let’s generate the Pareto Chart... Pareto Chart.... ?Go to: ?Stat… ?Quality Tools… ?Pareto Chart…. Pareto Chart.... Fill out the screen as follows: ?Our data is already summarized so we will use the Chart Defects table... ?Labels in “Category”… ?Frequencies in “Quantity”…. ?Add title and hit OK.. Pareto Chart.... Minitab now pletes our pareto for us ready to be copied and pasted into your PowerPoint presentation…. Histogram.... ?Let’s generate a Histogram from a set of data…. ?Go to File… Open Project…. Load the file …. ?Now let’s generate the Histogram of the GPA results... Histogram.... ?Go to: ?Graph… ?Histogram… Histogram.... Fill out the screen as follows: ?Select GPA for our X value Graph Variable ?Hit OK….. Histogram.... Minitab now pletes our histogram for us ready to be copied and pasted into your PowerPoint presentation…. This data does not look like it is very normal…. Let’s use Minitab to test this distribution for normality…... Histogram.... ?Go to: ?Stat… ?Basic Statistics… ?Display Descriptive Statistics…. Histogram.... Fill out the screen as follows: ?Select GPA for our Variable…. ?Select Graphs….. Histogram.... ?Select Graphical Summary…. ?Select OK….. ?Select OK again on the next screen... Histogram.... Note that now we not only have our Histogram but a number of other descriptive statistics as well…. This is a great summary slide... As for the normality question, note that our P value of .038 rejects the null hypothesis (P.05). So, we conclude with 95% confidence that the data is not normal….. Histogram.... ?Let’s look at another “Histogram” tool we can use to evaluate and present data…. ?Go to File… Open Project…. Load the file …. Histogram.... ?Go to: ?Graph… ?Marginal Plot… Histogram.... Fill out the screen as follows: ?Select filler 1 for the Y Variable…. ?Select head for the X Variable ?Select OK….. Histogram.... Note that now we not only have our Histogram but a dot plot of each head data as well... Note that head number 6 seems to be the source of the high readings….. This type of Histogram is called a “Marginal Plot”.. Boxplot.... ?Let’s look at the same data using a Boxplot…. Boxplot.... ?Go to: ?Stat… ?Basic Statistics… ?Display Descriptive Statistics... Boxplot.... Fill out the screen as follows: ?Select “filler 1” for our Variable…. ?Select Graphs….. Boxplot.... ?Select Boxplot of data…. ?Select OK….. ?Select OK again on the next screen... Boxplot.... We now have our Boxplot of the data... Boxplot.... ?There is another way we can use Boxplots to view the data... ?Go to: ?Graph… ?Boxplot... Boxplot.... Fill out the screen as follows: ?Select “filler 1” for our Y Variable…. ?Select “head” for our X Variable…. ?Select OK….. Boxplot.... Note that now we now have a box plot broken out by each of the various heads.. Note that head number 6 again seems to be the source of the high readings….. Scatter plot.... ?L