Jane wants to estimate the proportion of students on her campus who eat cauliflower. after surveying 39 ​students, she finds 4 who eat cauliflower. obtain and interpret a 90​% confidence interval for the proportion of students who eat cauliflower on​ jane's campus using agresti and​ coull's method.

Respuesta :

Let [tex] x [/tex] be the number of students who eat cauliflower.

Therefore, [tex] x=4 [/tex].

Let [tex] n [/tex] be the total number of students surveyed.

Therefore, [tex] n=39 [/tex]

Thus, [tex] \hat p [/tex][tex] =\frac{4}{39} =0.10256 [/tex]

Now, for 90% confidence level, from the table we know that [tex] Z=1.645 [/tex].

The formula for the interval range of proportion of students is :

[tex] p= \hat p\pm Z\sqrt{\frac{\hat p(1-\hat p)}{n}} [/tex]

Plugging in the values we get:

[tex] p=0.10256\pm 1.645\sqrt{\frac{0.10256(1-0.10256)}{39}}=0.10256\pm 0.04858=0.15114, 0.05398 [/tex]

Thus, Jane is 90% confident that the population proportion p, for students who eat cauliflower in her campus is between 5.398% and 15.114% (after converting the answer we got to percentage).

The 90% confidence interval for the proportion of students who eat the food will be (0.15114, 0.05398).

How to compute the confidence interval?

The following can be deduced from the information:

number of students = 39

proportion = 4/39 = 0.10256

The 90% confidence interval in the table is 1.645.

Therefore, the lower limit for the interval range will be:

= 0.10256 - 1.645[(✓0.10256(1 - 0.10256)/39]

= 0.05398

The upper limit will be:

= 0.10256 + 1.645[(✓0.10256(1 - 0.10256)/39]

= 0.15114

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