Name race and gender are explanatory variables

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Name, Race and Gender are explanatory variables because they were manipulated and controlled by the researcher. Accepted is the Response variable because it is the variable being tested by the researchers.
2. What lurking variables did the researchers control for?
3. You can make a stacked bar 100% graph: MINITAB>graph>bar graph and then select the stack option. Choose the three variables Race, Gender, Accepted, then click Chart Options and choose Show Y as a Percent and Within categories at level 2 . Create the graph and paste it here. Analyze and explain what this graph is showing.
Race Accepted White Black Yes No Yes No 2000 1500 1000 500 0 Count Chart of Race, Accepted In questions 4 to 10 you will analyze the claim that the perceived race of the guest affects the acceptance rate. 4. Cross Tabulation is a method of taking pairs of categorical variables and creating a two-way table. The command can be found on the menu bar STAT>TABLES>CROSSTABULATION . Choose two data items and check that you want count , row percents and column percents. Cross tabulate the variables Race and Accepted and paste the table here. 5. You can also make a clustered bar graph GRAPHS>BAR GRAPH>CLUSTERED. Created a clustered bar graph of the variables Race and Accepted.

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