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Unformatted text preview: LIR 832: MINITAB WORKSHOP SEPTEMBER ?, 2006 Opening Minitab Minitab will be in the Start Menu under “Net Apps”. Opening the Data Go to the following web site: http://www.msu.edu/course/lir/832/Datasets.htm Rightclick and “Save Target As…” on the link for “20 Percent Subsample” (Save it to the desktop) In Minitab, select “File” Æ “Open Worksheet” Æ and find “lir832managersandprofessionals200020pctsample.MTW”. Learning the Variable Names This data set includes 10,968 observations on a number of characteristics of specific professional and managerial employees. See the corresponding codebook for definitions. region state age mstatus gender edattain race hispanic esr uhour1 workcls1 psic1 pocc1 weekearn wage3 parttime cbc2 yearsed Basic Structure Minitab saves all materials related to a session as a “Project”. This includes all graphs, datasets, results, commands, etc. Within this project is a “worksheet”, which is the raw data we use here. Variable Names: You can add or edit variable names by clicking on the names above the columns. Note that each column will either feature numeric or textual (nonnumbers) data. In those textual columns, the heading will end with “T” automatically. Results appear here Data here (the worksheet) Statistical Commands Variable Names Adding Data: You can add data in a number of ways. You can either handenter data… … or you can make patterned data under the “Calc” Æ “Make Patterned Data” Æ “Simple Set of Numbers” (or other options) Notice: Empty Column Making Dummy (or Indicator) Variables Suppose you want to convert the “Sector” column into a series of 0/1 variables in order to include them in a regression equation (you can’t just put the “Sector” variable in the equation since it is nonnumerical). Go to “Calc” Æ ”Make Indicator Variables…” The variable “Race” has 4 values. Thus, we must create four dummy variables… which needs four empty columns. Thus, we input C20C23 and we find the following…: You can then label each column based on what it represents. Where to put your new variable Variable to examine 4 New Variables – One Dummy Variable for Each Sector Descriptive Statistics We can quickly calculate the descriptive statistics for each numeric variable. Follow the following steps: Click on appropriate variables (text variables will not appear). After clicking on the “Statistics…” tab, the following menu pops up, allowing you to...
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This note was uploaded on 07/25/2008 for the course LIR 832 taught by Professor Belman during the Spring '07 term at Michigan State University.
 Spring '07
 BELMAN

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