6 - uf statistics
... c) We can only extend the conclusions to those five students, not to the general population of 5th graders. d) The assumptions seem to be satisfied, since the problem states the students were a random sample. e) The validity of the confidence interval does not depend on the assumptions – it’s a sepa ...
... c) We can only extend the conclusions to those five students, not to the general population of 5th graders. d) The assumptions seem to be satisfied, since the problem states the students were a random sample. e) The validity of the confidence interval does not depend on the assumptions – it’s a sepa ...
Ch07a
... The central limit theorem: For any population with a mean (μ) and standard deviation (σ) the distribution of sample means for sample size n will have a mean of μ and a standard deviation of σ/√ n and will approach a normal distribution as n approaches infinity. ...
... The central limit theorem: For any population with a mean (μ) and standard deviation (σ) the distribution of sample means for sample size n will have a mean of μ and a standard deviation of σ/√ n and will approach a normal distribution as n approaches infinity. ...
1 Population and Sample Proportion
... The finite population correction factor appears again. We can ignore it in the same three cases that we did when considering the sample mean. Observe that, as the sample size n increases, the standard deviation of the sample proportion gets smaller. That is, as the sample size increases, the sample ...
... The finite population correction factor appears again. We can ignore it in the same three cases that we did when considering the sample mean. Observe that, as the sample size n increases, the standard deviation of the sample proportion gets smaller. That is, as the sample size increases, the sample ...
Answers to Practical Problems – Module 1 A1. The AMI Company
... d. None of the alternative answers is correct. ANSWER: b A12. A simple random sample of size n from a finite population of size N is a sample selected such that each possible sample of size a. N has the same probability of being selected b. n has a probability of 0.5 of being selected c. n has a pro ...
... d. None of the alternative answers is correct. ANSWER: b A12. A simple random sample of size n from a finite population of size N is a sample selected such that each possible sample of size a. N has the same probability of being selected b. n has a probability of 0.5 of being selected c. n has a pro ...
251y9911
... k) Is the mean of a population a statistic or a parameter? (1) Numbers that describe a population are parameters. l) My firm has a large number of stores throughout the country with annual sales between 12 and 50 million dollars. If this data is to be presented in nine classes, what intervals would ...
... k) Is the mean of a population a statistic or a parameter? (1) Numbers that describe a population are parameters. l) My firm has a large number of stores throughout the country with annual sales between 12 and 50 million dollars. If this data is to be presented in nine classes, what intervals would ...
1. A New York Times poll on women`s issues interviewed
... Conclude (i.e., interpret the interval): We are 90% confident that the interval 0.444 to 0.496 contains the true proportion of women in the U.S. (excluding Alaska and Hawaii) who feel that they don’t have enough time for themselves. (b) Explain, in the context of this problem, what “90% confidence” ...
... Conclude (i.e., interpret the interval): We are 90% confident that the interval 0.444 to 0.496 contains the true proportion of women in the U.S. (excluding Alaska and Hawaii) who feel that they don’t have enough time for themselves. (b) Explain, in the context of this problem, what “90% confidence” ...
German tank problem
In the statistical theory of estimation, the problem of estimating the maximum of a discrete uniform distribution from sampling without replacement is known in English as the German tank problem, due to its application in World War II to the estimation of the number of German tanks.The analyses illustrate the difference between frequentist inference and Bayesian inference.Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.