.In a sample of 47 adults selected randomly from one town, it is found that 9 of them havebeen exposed to a particular strain of the flu. Test the claim that the proportion of alladults in the town that have been exposed to this strain of the flu is 8%.a)State null and alternative hypothesis. Also denote the claim.

So the p value obtained was a very low value and using the significance level assumed we have so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of people exposed to flu is different from 0.08 or 8%

Step-by-step explanation:

Data given and notation

n=47 represent the random sample taken

X=9 represent the number of people exposed to flu

estimated proportion of people exposed to flu

is the value that we want to test

represent the significance level

z would represent the statistic (variable of interest)

represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the proportion of people exposed to flu is 0.08.:  

Null hypothesis:  

Alternative hypothesis:  

When we conduct a proportion test we need to use the z statisitc, and the is given by:  

(1)  

The One-Sample Proportion Test is used to assess whether a population proportion is significantly different from a hypothesized value .

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level assumed is . The next step would be calculate the p value for this test.  

Since is a bilateral test the p value would be:  

So the p value obtained was a very low value and using the significance level assumed we have so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of people exposed to flu is different from 0.08 or 8%

mark branliest

step-by-step explanation:

.6 is 1/2 of 12

the answer is actually d. i just took the test

they disappear if your absent from to long. i found out that the hard way.

step-by-step explanation:

brainliest lol i just need one more brainliest.