0:02 hi everyone welcome back and in this session
0:03 session
0:05 as you can see we will be having an
0:07 overview of minitab
0:09 which is the software that we will be
0:10 using in this
0:13 program or in this course for our data
0:14 analysis part
0:17 minitab is one of the famous statistical
0:19 tools that is being used by industries
0:21 and organizations
0:22 when it comes to data analysis
0:25 especially in lean six sigma projects
0:27 now let me walk you through on the basic
0:28 parts and
0:32 functions of minitab so as you can see here
0:33 here
0:36 i'm highlighting the columns the working
0:38 space is more of
0:41 a worksheet type but unlike excel you
0:42 cannot do
0:45 any manipulation inside this worksheet
0:48 so this works in columnar format
0:51 meaning for every column you should put
0:52 the same
0:55 type of data now in terms
0:59 of the other parts this is
1:02 the output session window the output
1:04 session window gives you
1:06 the results of any analysis graphical
1:08 and statistical analysis that you will do
1:09 do
1:13 inside this particular interface now
1:16 the basic commands in excel like
1:20 ctrl s for save control new for
1:23 new window or new worksheet
1:26 ctrl x to cut ctrl c to copy
1:30 and ctrl v to paste are still applicable
1:31 and executable
1:34 here at the minitab interface now
1:37 you can see here the file where you can
1:39 create new worksheets you can save your
1:41 workbook or your worksheet
1:44 you can see here edit the basic edit commands
1:45 commands
1:49 you can see here data so in the data
1:52 command or data tab what you can see is
1:54 more of manipulation of worksheets and
1:55 manipulation of
1:59 data including changing of data type
2:03 in calculator or calculator function we
2:03 have the
2:07 calculator itself and some column column
2:09 and row statistics and making pattern
2:11 data using random
2:14 random bases so you can do your
2:18 data simulation here uh we have the
2:19 major two functions
2:22 first is the stat where you can see all
2:24 the statistical tools and techniques
2:26 coming from basic stat regression
2:29 anova doe control chart quality tools
2:32 reliability and survival analysis
2:34 multivariate analysis
2:36 time series tables nonparametrics
2:38 equivalence tests and power and sample sizes
2:40 sizes
2:43 um and then we have graphical so
2:45 graphical tool will be the basis of
2:47 and the core function that we will study
2:50 inside the yellow belt module
2:52 this is the scatter plot we have the
2:55 matrix plot bubble plot marginal plot
2:58 histogram that plot and the list goes on
2:58 and on
3:02 but we have prepared some selected tools
3:03 that we think
3:05 are very important for you as a yellow
3:07 belt practitioner
3:09 and we also have the view function the
3:11 help and then the system
3:16 so this is how it looks like our meetup software
Chrome Extension