Problems
... 7. a) Among all pairs of numbers whose difference is 24, find a pair whose product is as small as possible. What is the minimum product? b) Among all pairs of numbers whose sum is 20, find a pair whose product is as large as possible. What is the maximum product? ...
... 7. a) Among all pairs of numbers whose difference is 24, find a pair whose product is as small as possible. What is the minimum product? b) Among all pairs of numbers whose sum is 20, find a pair whose product is as large as possible. What is the maximum product? ...
251x9811 2/11/98
... is (rounded to the nearest per cent) 19% and the median is 24%, is the distribution skewed? To the right or the left? Where would you expect the mode to be relative to these two numbers? (2) Skewed to the left, above 24%. f) Ogive (1) A graph of the cumulative distribution g) Interval Data (1) Data ...
... is (rounded to the nearest per cent) 19% and the median is 24%, is the distribution skewed? To the right or the left? Where would you expect the mode to be relative to these two numbers? (2) Skewed to the left, above 24%. f) Ogive (1) A graph of the cumulative distribution g) Interval Data (1) Data ...
Lesson 8.1 Estimation µ when σ is Known Notes
... 1. We have a simple random sample of size n drawn from a population of x values. 2. The value of σ, the population standard deviation of x, is known 3. If the x distribution is normal, then our methods work for any sample size n. 4. If x has an unknown distribution then we require a sample size n ≥ ...
... 1. We have a simple random sample of size n drawn from a population of x values. 2. The value of σ, the population standard deviation of x, is known 3. If the x distribution is normal, then our methods work for any sample size n. 4. If x has an unknown distribution then we require a sample size n ≥ ...
Charita Pearson
... Interval estimate – a range of values within which the actual value of the pop. Parameter may fall. Interval limits – the lower and upper values of the interval estimate. Confidence interval – an interval estimate for which there is a specified degree of certainty that the actual value of the pop. P ...
... Interval estimate – a range of values within which the actual value of the pop. Parameter may fall. Interval limits – the lower and upper values of the interval estimate. Confidence interval – an interval estimate for which there is a specified degree of certainty that the actual value of the pop. P ...
Worksheet #7
... A confidence interval gives an estimated range of values which is likely to include an unknown population parameter, the estimated range being calculated from a given set of sample data. A confidence interval is based on three elements: (a) a value of a point estimator (the sample mean, etc.) (b) th ...
... A confidence interval gives an estimated range of values which is likely to include an unknown population parameter, the estimated range being calculated from a given set of sample data. A confidence interval is based on three elements: (a) a value of a point estimator (the sample mean, etc.) (b) th ...
homework_hints
... One other twist may be necessary: if the sample that you select is relatively large compared to the population – that is, if n > 5% of N – then you can actually reduce the standard error of the mean using the finite population correction factor; in this case, the formula becomes: (formula 7.5, p. 27 ...
... One other twist may be necessary: if the sample that you select is relatively large compared to the population – that is, if n > 5% of N – then you can actually reduce the standard error of the mean using the finite population correction factor; in this case, the formula becomes: (formula 7.5, p. 27 ...
10
... 1. The claim is made that the mean I.Q. of students at a college is equal to 118. It is known that the population standard deviation of all the student I.Q.s is equal to 5. A sample of one hundred randomly selected students’ I.Q.s are collected. The sample mean is found to be 119. Assuming that the ...
... 1. The claim is made that the mean I.Q. of students at a college is equal to 118. It is known that the population standard deviation of all the student I.Q.s is equal to 5. A sample of one hundred randomly selected students’ I.Q.s are collected. The sample mean is found to be 119. Assuming that the ...
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.