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STATA 11 for Windows SAMPLE SESSION - Food Security Group ...

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Stata <strong>11</strong> Sample Session Section 3 – Tables and other Types of Analysis<br />

Indicator variables<br />

[type_of_weight=variable_in_file].<br />

Let’s use one of the Stata’s sample data files to explore this subcommand.<br />

1. Click on File then Open A dialog box should open<br />

telling you that the data have changed and do you want<br />

to continue and lose unsaved data. We don’t want to<br />

save any changes to the data file, click on Yes<br />

2. Select census.dta.<br />

3. Click on Ok. - Remember to copy the command and<br />

paste it into the do-file editor.<br />

Use the Browse button to look at the data. There is one<br />

observation <strong>for</strong> each state. The variable called pop is the total<br />

population <strong>for</strong> the state. The variable called medage is the<br />

median age of the population. First let’s get the populationweighted<br />

mean.<br />

1. From the Statistics menu select Summaries, tables<br />

& tests then Summary and descriptive statistics<br />

then Summary statistics<br />

The Summarize - Summary Statistics dialog box opens.<br />

2. Select medage in the “variables” box.<br />

3. Click on the “weights” tab.<br />

Note that only 3 types of weights are available to<br />

choose from. There is also a help button on weights.<br />

4. Select Analytic weights<br />

5. Click on the copy button, switch to the do-file editor,<br />

paste the command, switch back to the dialog box and<br />

click on Submit.<br />

Look at the output. The sum of the weight is 225,907,472.<br />

This is the population of the U.S. in the 1980 census. The<br />

weighted mean is 30.<strong>11</strong>. Now, return to the dialog box.<br />

6. Click on None under the Weight tab.<br />

7. Click on the copy button, switch to the do-file editor,<br />

paste the command, switch back to the dialog box and<br />

click on Ok<br />

The unweighted mean is 29.54. The Stata commands are:<br />

use "census.dta", clear<br />

summarize medage [aweight=pop]<br />

summarize medage<br />

Survey weights are discussed in the next section.<br />

An indicator variable is a special case of a categorical variable.<br />

An indicator variable has two groups only, whereas other<br />

categorical variables can have more than two groups. Usually<br />

99

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