In a random sample of # 100 YouTube channel viewers, it is found that 50 of them aresubscribers to that channel4) Calculate the 98% CI for the actual proportion of the channel viewers that aresubscribersbi What would be the required sample size if we want to be 98% confident that ourestimate of viewers proportion within 0.03 of the true value?

The number of successes is 50.The sample size is 100.This is One proportion Z test.

Answered: In a random sample of # 100 YouTube…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The red blood cell counts (in millions of cells per microliter) for a population of adult males can be approximated be a normal distribution, with a mean of 5.4 million cells per microliter and a standard deviation of 0.4 million cells per microliter a). What is the minimum red blood cell count that can be in the top 25% of counts? b) what is the maximum red blood cell count that can be in the bottom 15% of counts?
The level of dissolved oxygen in a river indicates the water’s ability to support aquatic life. A research project is started to determine if the oxygen levels in the river have changed. A study done 10 years prior, showed that the mean oxygen levels in milligrams per liter for the river was 4.3. A.) Write appropriate hypotheses for this test B.) Water is collected samples from 15 randomly chosen locations along the river and measured the dissolved oxygen. Construct and interpret a 95% confidence interval for the mean dissolved oxygen level for this stream. The results are in milligrams per liter: 4.53 5.5 4.01 5.04 4.83 4.66 3.29 4.4 2.87 5.23 5.42 5.73 4.13 6.38 5.55 C.) Based on the sample from part B, conduct a significance test of these results using a 5% significance level. Give complete results of the test including a p-value and what the results means.
Many college graduates who are employed full-time have longer than 40-hour work weeks. Suppose that we wish to estimate the mean number of hours, u, worked per week by college graduates employed full-time. We'll choose a random sample of college graduates employed full-time and use the mean of this sample to estimate u. Assuming that the standard deviation of the number of hours worked by college graduates is 6.20 hours per week, what is the minimum sample size needed in order for us to be 95% confident that our estimate is within 1.2 hours per week of u? Carry your intermediate computations to at least three decimal places. Write your answer as a whole number (and make sure that it is the minimum whole number that satisfies the requirements). (If necessary, consult a list of formulas.)
Many college graduates who are employed full-time have longer than 40-hour work weeks. Suppose that we wish to estimate the mean number of hours, μ, worked per week by college graduates employed full-time. We'll choose a random sample of college graduates employed full-time and use the mean of this sample to estimate H. Assuming that the standard deviation of the number of hours worked by college graduates is 6.10 hours per week, what is the minimum sample size needed in order for us to be 99% confident that our estimate is within 1.3 hours per week of μ? Carry your intermediate computations to at least three decimal places. Write your answer as a whole number (and make sure that it is the minimum whole number that satisfies the requirements). (If necessary, consult a list of formulas.) 0 Continue X Ś B 6 top Ⓒ2022 McGraw Hill LLC. All Rights Reserved. Terms of U a Files now Removable device detected Explore the device's content in the tent is restricted by an admin ar modified. Open…
Many college graduates who are employed full-time have longer than 40-hour work weeks. Suppose that we wish to estimate the mean number of hours, μ, worked per week by college graduates employed full-time. We'll choose a random sample of college graduates employed full-time and use the mean of this sample to estimate μ. Assuming that the standard deviation of the number of hours worked by college graduates is 6.30 hours per week, what is the minimum sample size needed in order for us to be 99% confident that our estimate is within 1.4 hours per week of μ? Carry your intermediate computations to at least three decimal places. Write your answer as a whole number (and make sure that it is the minimum whole number that satisfies the requirements).
A company has determined that the mean number of days it takes to collect on its accounts receivable is 36 with a standard deviation of 11 days. The company plans to select a random sample of n=12 accounts and compute the sample mean. The sampling process follows a simple random sampling. The objective of random sampling is to gather data that accurately represent a population. 2b. If we carefully follow the sampling plan, there is a possibility to obtain zero sampling error. Please comment on this statement.
Many college graduates who are employed full-time have longer than 40-hour work weeks. Suppose that we wish to estimate the mean number of hours, μ, worked per week by college graduates employed full-time. We'll choose a random sample of college graduates employed full-time and use the mean of this sample to estimate μ. Assuming that the standard deviation of the number of hours worked by college graduates is 6.10 hours per week, what is the minimum sample size needed for us to be 95% confident that our estimate is within 1.5 hours per week of μ? Carry the intermediate computations to at least three decimal places. Compose the answer as a whole number (and make sure that it is the minimum whole number that satisfies the requirements).
The principal at Riverside High School would like to estimate the mean length of time each day that it takes all the buses to arrive and unload the students. What is the minimum sample size needed if the principal would like to be 90% confident that the sample mean is off by, at most, 2 minutes. Assume that standard deviation is 14 minutes. (Approximate the final answer)
Suppose 9% of students are veterans and 133 students are involved in sports. How unusual would it be to have no more than 6 veterans involved in sports? (6 veterans is about 4.5113%)When working with samples of size 133, what is the mean of the sampling distribution for the proportion of veterans? When working with samples of size 133, what is the standard error of the sampling distribution for the proportion of veterans? Compute P(ˆp≤p^≤ 0.045113).P(ˆp≤p^≤ 0.045113) = NOTE: Give results accurate to 5 decimal placesIs this result unusual? Yes, there is a less than 50% chance of this happening by random variation. No, there is at least a 50% chance of this happening by random variation.
It is desired to estimate the mean number of chocolate chips per cookie for a large national brand. How many cookies would have to be sampled to estimate the true mean number of chips per cookie within 2 chips with 98% confidence? Assume that o = 10.1 chips. Оп 3D 12 n = 239 O n = 139 n = 66
An excess of high values for the cases distributed on a graph results in a positive skew in the data?
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