Help 5(cont.) We also created a 99% confidence interval to test the claim that the proportionof patients that experienced side-effect from vaccination A is the same as the proportionof patients that experienced side-effects from vaccination B.The StatCrunch output is shown below where p1 and p2 represent the populationproportions of patients that experienced side-effect from vaccination A and vaccinationB, respectively.99% confidence interval results:Difference Countl Totall Count2 Total2 Sample Diff.Std. Err.L. LimitU. LimitP1- P21220072000.025 0.021233817 -0.029694689 0.079694689According to the output, what is the confidence interval? Round to twoе.decimal places.Based on the confidence interval, can you conclude that there is a differencein the proportion of adults that experienced side-effects from receiving vaccinationA and those that were given vaccination B? Explain your reasoning. 5. Suppose that two types of vaccines are being tested to determine if there is adifference in the proportion of adults that experienced side-effects after itsadministration. In a random sample of 200 participants that were given vaccinationA, 12 showed side-effects. In a random sample of 200 participants that were givenvaccination B, 7 showed side-effects. Use a hypothesis test to test the claim that theproportion of patients that experienced side-effect from vaccination A is the same asthe proportion of patients that experienced side-effects from vaccination B.Let p, and p2 represent the population proportions of patients that experiencedside-effect from vaccination A and vaccination B, respectively.

Name: Help 5(cont.) We also created a 99% confidence interval to test the cl
Uploaded: 2024-03-05T11:52:21.000Z
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Description: Help 5(cont.) We also created a 99% confidence interval to test the claim that the proportionof patients that experienced side-effect from vaccination A is the same as the proportionof patients that experienced side-effects from vaccination B.The Sta