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1.4 Interval Estimation – Case 2: Unknown variance σ2
1.4 Interval Estimation – Case 2: Unknown variance σ2

Fundamental Sampling Distributions and Points Estimations
Fundamental Sampling Distributions and Points Estimations

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... shampoos who are satisfied with the prodcut. In a sample of 400 users of Shampoo A taken by this researcher, 78 said they are satisifed. In another sample of 500 users of Shampoo B taken by the same researcher, 92 said they were satisfied. a) Construct a 90% confidence interval for the true differen ...
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1 - Academic Information System (KFUPM AISYS)

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Activity #34

... However, while this wording is okay for student use in the classroom, it is technically incorrect, and would not be used by actual statisticians when interpreting the meaning of a confidence interval. Because you would never describe yourself as being 75% happy or 50% in love with someone, you also ...
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... that the gas milage for the population is normally distributed with a standard deviaition of 5.2 miles per galon. • A) Identify the bounds for a 90% confidence interval for the mean given a sample mean of 22.8 miles per gallon. • B) The car manufacturer of this particular model claims that the avera ...
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... $125 thousand dollars. Assume that household incomes are normally distributed with a standard deviation of $60 thousand dollars.  find the sample mean.  construct a 90% confidence interval for the sample mean.  construct a 95% confidence interval for the sample mean. 2. Waiting times (in hours) a ...
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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.
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