Question

Suppose that a simple random sample of 125 people finds that 43 eat chocolate every day....

Suppose that a simple random sample of 125 people finds that 43 eat chocolate every day. Use this information to answer the following. Step 4 of 5: Find the upper bound for a 98% confidence interval of the true proportion of people who eat chocolate daily, accurate to 3 decimal places.

Homework Answers

Answer #1

Solution :

Given that,

n = 125

x = 43

= x / n = 43 /125 = 344

1 - = 1 - 0.344 = 0.656

At 98% confidence level the z is ,

= 1 - 98% = 1 - 0.98 = 0.02

/ 2 = 0.02 / 2 = 0.01

Z/2 = Z0.01 = 2.326

Margin of error = E = Z / 2 * (( * (1 - )) / n)

= 2.326 * (((0.344 * 0.656 ) / 125 )

= 0.099

A 98 % confidence interval for population proportion p is ,

+ E

0.344 + 0.099

The upper bound = 0.443

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A simple random sample (completely unbiased) of 1000 people indicated 90% preferred chocolate ice cream over...
A simple random sample (completely unbiased) of 1000 people indicated 90% preferred chocolate ice cream over vanilla ice cream. Calculate a 98% confidence interval for the proportion of people all around the world who prefer chocolate ice cream over vanilla ice cream. Interpret your result.
A random sample of 125 people shows that 25 are left-handed. Form a 99% confidence interval...
A random sample of 125 people shows that 25 are left-handed. Form a 99% confidence interval for the true proportion of left-handers.
A simple random sample of size n is drawn from a population that is known to...
A simple random sample of size n is drawn from a population that is known to be normally distributed. The sample​ variance, s squared​, is determined to be 11.8. Complete parts​ (a) through​ (c). ​(a) Construct a​ 90% confidence interval for sigma squared if the sample​ size, n, is 20. The lower bound is nothing. ​(Round to two decimal places as​ needed.) The upper bound is nothing. ​(Round to two decimal places as​ needed.) ​ b) Construct a​ 90% confidence...
A simple random sample of size n is drawn from a population that is known to...
A simple random sample of size n is drawn from a population that is known to be normally distributed. The sample​ variance, s squared​, is determined to be 13.4. Complete parts​ (a) through​ (c). ​(a) Construct a​ 90% confidence interval for sigma squared if the sample​ size, n, is 20. The lower bound is nothing. ​(Round to two decimal places as​ needed.) The upper bound is nothing. ​(Round to two decimal places as​ needed.) ​(b) Construct a​ 90% confidence interval...
A simple random sample of size n is drawn from a population that is known to...
A simple random sample of size n is drawn from a population that is known to be normally distributed. The sample​ variance, s squareds2​, is determined to be 12.512.5. Complete parts​ (a) through​ (c). ​(a) Construct a​ 90% confidence interval for sigma squaredσ2 if the sample​ size, n, is 20.The lower bound is nothing. ​(Round to two decimal places as​ needed.)The upper bound is nothing. ​(Round to two decimal places as​ needed.)​(b) Construct a​ 90% confidence interval for sigma squaredσ2...
in a simple random sample of 50 people. it was found that the sample mean time...
in a simple random sample of 50 people. it was found that the sample mean time they spend on social media each day was 42 minutes .suppose it is know that the population standard deviation is 8 minutes. construct a 90% confidence interval of the population mean time spent on social media each day
A random sample of 994 people was taken. 262 of the people in the sample favored...
A random sample of 994 people was taken. 262 of the people in the sample favored Candidate A. Find 90% confidence interval for the true proportion of people who favors Candidate A. Enter in the lower limit of the confidence interval you found.
A random sample of 803 people was taken. 154 of the people in the sample favored...
A random sample of 803 people was taken. 154 of the people in the sample favored Candidate A. Find 90% confidence interval for the true proportion of people who favors Candidate A. Enter in the lower limit of the confidence interval you found.
Suppose a hospital gets simple random sample of 600 patients opinions on conditions at that hospital...
Suppose a hospital gets simple random sample of 600 patients opinions on conditions at that hospital and the proportion of those patients who say that doctors always communicated well is 0.79. What is the 95% confidence interval for the true proportion of patients of that hospital that say doctors always communicated well?
Suppose a random sample of 50 college students is asked if they regularly eat breakfast. A...
Suppose a random sample of 50 college students is asked if they regularly eat breakfast. A 95% confidence interval for the proportion of all students that regularly eat breakfast is found to be 0.69 to 0.91. If a 90% confidence interval was calculated instead, how would it differ from the 95% confidence interval? The 90% confidence interval would be wider. The 90% confidence interval would be narrower. The 90% confidence interval would have the same width as the 95% confidence...