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Drop Down options Please help1. Vaccinations female patients age John Hopkins medical institution2. Vaccinations, female patients, age, John Hopkins medical institutions3. Categorical, quantitative4. Ho:m1=m2;Ha:m1>m2, Ho:m1m2,

Drop Down options Please help1. Vaccinations female patients age John Hopkins medical institution2. Vaccinations, female patients, age, John Hopkins medical institutions3. Categorical, quantitative4. Ho:m1=m2;Ha:m1>m2, Ho:m1m2, Ho:m=0.05;Ha:m30 and n2>30, conditions are met n>307. One proportion hypothesis test, two independent sample means hypothesis test, one sample mean hypothesis test, confidence interval for means8. 0.0001, 0.05, 0.07, 0.959. Reject HO, reject HA, fail to reject HO, accept HO10. There is sufficient evidence to support the mean age of those that complete the vaccine is the, there is sufficient evidence to support the mean age of those that complete the vaccine is less, there is insufficient evidence to support the mean age of those that complete the vaccine is, there is insufficient evidence to support that the mean age of those that complete the vaccine is

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Characteristics of young female patients between the ages of 11 to 26 who came to clinics of Johns Hopkins Medical Institutions between 2006 and 2008 to begin the three- shot regimen of vaccinations with the anti-human papillomavirus (HPV) medication Gardasil are recorded in the 'Gardasil Completion Study' dataset in StatCrunch. Use a 0.05 significance level to test the claim that the mean age is younger for those that completed the vaccination (completed = 1) than those that have not completed the vaccination (completed = 0). 1. Identify observational unit [ Select ] 2. Identify the response variable [ Select ] 3. Classify response variable as quantitative or categorical [ Select ] 4. State hypotheses [ Select ] 5. Verify of level [ Select ] 6. Verify conditions are met [ Select ] 7. Name of the hypothesis test used [ Select ] 8. Identify the P-value [ Select ] 9. State decision [ Select ] 10. Conclusion in non-statistical terms There is insufficient evidence f

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