Question

part 1. You measure 33 watermelons' weights, and find they have a mean weight of 55...

part 1.
You measure 33 watermelons' weights, and find they have a mean weight of 55 ounces. Assume the population standard deviation is 9.2 ounces. Based on this, construct a 99% confidence interval for the true population mean watermelon weight.

Give your answers as decimals, to two places

part 2.
In a survey funded by the UW school of medicine, 750 of 1000 adult Seattle residents said they did not believe they could come down with a sexually transmitted infection (STI). Construct a 95% confidence interval estimage of the proportion of adult Seattle residents who don't believe they can contract an STI. (Use a zz score of 1.96 for your computations.)

a. (.728, .772)
b.(.723, .777)
c.(.718, .782)
d.(.713, .878)
e.(.665, .835)

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Answer #1

Answer

(1) We have mean = 55, standard deviation = 9.2 and sample size is 33

we have to calculate 99% confidence interval

z score for 99% confidence interval is 2.58 (using z distribution table)

Formula for the confidence interval is given as

CI = ar{x} pm z*(sigma/sqrt{n})

setting the given values, we get

CI = 55 ± 2.576 * (9.2/v/33) = 55 ± (2.576 * 1.60)

this gives us

CI = (50.87, 59.13) (rounded to two decimals)

(2) we have sample proportion = 750/10000.75

sample size is n = 1000

we have to find 95% confidence interval for the proportion

we have to use z = 1.96

Formula fo rthe confidence interval is given as

CI = hat{p} pm z*sqrt{(hat{p}*(1-hat{p}))/n}

setting the given values, we get

CI 0.75 ± 1.96 * V(0.75 * (1-0.75))/1000 = 0.75 ± (1.96 * 0.0137)

we get

CI = (0.723, 0.777)

So, option B is correct.

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