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1.An industrial medical officer of a large factory wants to immunize the company's employees against influenza. Five vaccines of various types (I, II, III, IV,

1.An industrial medical officer of a large factory wants to immunize the company's employees against influenza. Five vaccines of various types (I, II, III, IV, and V) are available, but nobody knows which is preferable. From the work force, 700 employees agree to be immunized with one of the vaccines in the first week of December. In the first week of the following March he examines the records he has been keeping to see how many employees got influenza and how many did not. The data for this immunization trial are listed in the attached file, "Vaccine.CSV". Upload this file to your computer and use the read.csv command in R to load this file for analysis. Use the R table() command to create a cross-tabulation table for this trial.

(1)State appropriate hypotheses to test for whether the vaccine types are independent of influenza rates.

(2)Calculate and report the influenza rates (as percents with 1 decimal) for each of the 5 vaccine types.

(3)Use the R chisq.test command to conduct the Chi-Square hypothesis test and state an appropriate conclusion. Report the test statistic, p-value, and conclusion (use the 10% significance level)

Vaccine Influenza

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