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12. A new type of flu vaccine is being developed that manufactures the vaccine in a cell culture rather than in chicken eggs. A clinical trial of 3,900 randomly selected participants was performed. Each participant was given the new type of flu vaccine. Out of the 3,900 participants given this vaccine, 26 had the flu in the following 28 weeks. Is this evidence that the population proportion that would get the flu after receiving this vaccine is different from 0.01? The test statistic is -2.09. What is the p-value? a.) 0.00006 b.) 0.0183 c.) 0.0228 d.) 0.0366 e.) 0.0732

          12. A new type of flu vaccine is being developed that manufactures the vaccine in a cell culture rather than in chicken eggs. A clinical trial of 3,900 randomly selected participants was performed. Each participant was given the new type of flu vaccine. Out of the 3,900 participants given this vaccine, 26 had the flu in the following 28 weeks. Is this evidence that the population proportion that would get the flu after receiving this vaccine is different from 0.01? The test statistic is -2.09. What is the p-value? a.) 0.00006 b.) 0.0183 c.) 0.0228 d.) 0.0366 e.) 0.0732
        
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Psychology Openstax
Psychology Openstax
Rosie M. Spielman 1st Edition
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12. A new type of flu vaccine is being developed that manufactures the vaccine in a cell culture rather than in chicken eggs. A clinical trial of 3,900 randomly selected participants was performed. Each participant was given the new type of flu vaccine. Out of the 3,900 participants given this vaccine, 26 had the flu in the following 28 weeks. Is this evidence that the population proportion that would get the flu after receiving this vaccine is different from 0.01? The test statistic is -2.09. What is the p-value? a.) 0.00006 b.) 0.0183 c.) 0.0228 d.) 0.0366 e.) 0.0732
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Transcript

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00:01 Alright, so in the given question, we have been asked to construct a 95 % confidence interval for the population proportion.
00:08 Now, first thing is to determine the point estimate here.
00:11 So here the size of the sample is 3 ,900 and the number of favorable outcomes are 24.
00:18 So our sample proportion is the point estimate, which is equal to the number of favorable outcomes divided by the size of the sample.
00:26 So this is computed as 0 .006154.
00:33 Now after this, we have been asked to determine the value of the standard error.
00:38 So here, the standard error, this is computed as square root of the sample proportion into 1 minus sample proportion divided by sample size, right? this is equal to square root of some rounding it up to 0 .0062, right? so this is 0 .0062 into 1 minus 0 .0062 divided by 3 ,900 which is equal to 0 .0013.
01:14 Right.
01:15 In the next part, we have to determine the critical margin of error...
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