If the historical proportion (π) = .7 what is the sample size necessary to have a large enough sample?
If the historical proportion (π) = .7 what is the sample size necessary to have a...
The proportion of students that have taken the census is π = .7, what is the probability that a sample of size 50 yields a sample proportion of .75
Consider taking samples of size 100 from a population with proportion 0.33. Is the sample size large enough for the Central Limit Theorem to apply so that the sample proportions follow a normal distribution? a) Yes, np and n(1-p) both >=10. b) No, np and n(1-p) both >=10. c) Yes, np and n(1-p) both >=100. d) No, 100 is never large enough.
Find the minimum sample size n necessary to estimate a population proportion p with a 95% confidence interval that has a margin of error m = 0.04. Assume that you don’t have any idea what p is so that you use the simpler formula for n (which comes from taking the more complicated formula for n and substituting p∗ = 0.5 into it).
5. (5 pts) Find the minimum sample size n necessary to estimate a population proportion p with a 95% confidence interval that has a margin of error m = 0.05. Assume that you don’t have any idea what p is so that you use the simpler formula for n (which comes from taking the more complicated formula for n and substituting p ∗ = 0.5 into it).
4. Suppose the population proportion is p = .6 and N=212000. What sample size is required for the sample proportion to be normally distributed? 5. If a population is slightly skewed and my sample size is 12, is the sample normally mean distributed? me a normal distribution for If n-83 what is the smallest population size N that will give 6. 4. Suppose the population proportion is p = .6 and N=212000. What sample size is required for the sample...
For the following scenarios, please tell me what the minimum sample size needed is, rounded up to the nearest integer (e.g., if your answer is 51.3, round it up to 52). Remember that you cannot survey a fraction of a person – it has to be a whole person. If you round down, then you won’t have the minimum amount of precision needed, so you must round up. For the z-scores, refer to table provided Confidence Level z-score 90% 1.65...
? What does it mean if you use a sample of size 50 to construct a 95% Confidence interval for a population proportion? O A. If you construct 100 such intervals in the same manner, you would expect that 95 of the constructed intervals would contain the true population proportion. OB. The true population proportion is between 90% and 100%. OC. The true population proportion is less than 95% because the sample size is large enough to support this conclusion...
The standard deviation of a sample proportion p gets smaller as the sample size n increases. If the population proportion is p o.55, how large a sample is needed to reduce the standard deviation of p to σ, = 0.0047 (The 68-95-99.7 rule then says that about 95% of all samples will have p within 0.01 of the true p. Round your answer to up to the next whole number.)
4. How large a sample would be necessary to estimate the true proportion of defectives in a large population within +4%, with 95% confidence? (Assume a pilot sample yields p = 0.14) *
A random sample of size n is selected from a population that has a proportion of success equal to 0.23. What effect will increasing the sample size by 4 times as much have on the mean and standard deviation of the sampling distribution for the given sample proportion?