A firm keeps track of the proportion of defective parts produced daily. What sample size would they need to take if they desire the margin of error to be no more than .03 with 95% confidence? Assume that .1 can be used as a planning value for the proportion of defectives. a. 865 b. 385 c. 100 d. 12
A firm keeps track of the proportion of defective parts produced daily. What sample size would...
1- You want to estimate the proportion p of defective light bulbs produced in a factory. Suppose you want to estimate p within .01 from the sample proportion X of defective items at 95 percent level of confidence. How large a sample would you take? (Round upward only.) Required Sample Size n = 2- You want to estimate the proportion p of people who oppose capital punishment. To estimate p within .02 from the sample proportion Xwith 99 percent level...
The percent defective for parts produced by a manufacturing process is targeted at 4%. The process is monitored daily by taking samples of sizes n = 160 units. Suppose that today’s sample contains 14 defectives. Determine a 88% confidence interval for the proportion defective for the process today. Place your LOWER limit, rounded to 3 decimal places, in the first blank. For example, 0.123 would be a legitimate answer. Place your UPPER limit, rounded to 3 decimal places, in the...
6. We want to determine the sample size for estimating the population proportion p that would vote for candidate A with a 95% confidence interval and a margin of error of no greater than 2 %. What is the sample size given that we have no fore knowledge so that p should be a value of 0.5 or 50%?
In a study to find the proportion of children with asthma in a certain population we desire a 95% confidence interval with standard error no more than 0.05. Without any prior knowledge of the proportion. what should be our minimum sample size? O 80 o 92 096 100
A) A certain region would like to estimate the proportion of voters who intend to participate in upcoming elections. A pilot sample of 25 voters found that 17 of them intended to vote in the election. Determine the additional number of voters that need to be sampled to construct a 95% interval with a margin of error equal to 0.06 to estimate the proportion. The region should sample ____ additional voters. B) Determine the sample size needed to construct a...
pose that 5% of the screws a company sells are defective. Figure B.7 shows sample proportions from two sampling dis- tributions: One shows samples of size 100, and the .15 Defective Screws Sup other shows samples of size 1000. (a) What is the center of both distributions? (b) What is the approximate minimum and maxi- mum of each distribution? (c) Give a rough estimate of the standard error in each case. (d) Suppose you take one more sample in each...
For each combination of sample size and sample proportion, find the approximate margin of error for the 95% confidence level. (Round the answers to three decimal places.) (a) n = 100, p̂ = 0.55. (b) n = 700, p̂ = 0.55. (c) n = 700, p̂ = 0.10. (d) n = 700, p̂ = 0.90. (e) n = 1000, p̂ = 0.60.
An automobile manufacturer would like to know what proportion of its customers are dissatisfied with the service received from their local dealer. The customer relations department will survey a random sample of customers and compute a 95% confidence interval for the proportion that are dissatisfied. From past studies, it believes that this proportion will be about 0.24. Find the sample size needed if the margin of error of the confidence interval is to be no more than 0.03. (Round your...
An automobile manufacturer would like to know what proportion of its customers are dissatisfied with the service received from their local dealer. The customer relations department will survey a random sample of customers and compute a 95% confidence interval for the proportion that are dissatisfied. From past studies, it believes that this proportion will be about 0.29. Find the sample size needed if the margin of error of the confidence interval is to be no more than 0.035. (Round your...
We are interested in conducting a study in order to determine what percentage of voters of a state would vote for the incumbent governor. What is the minimum size sample needed to estimate the population proportion with a margin of error of 0.04 at 95% confidence? Use a planning value of p∗= 0.5. a. 601 b. 600 c. 385 d. 307