1 - BioMed Central
... the area coverage was based on the assumption that more than 50% of the total area was covered, as the transect passed every second parallel road, most compounds are along the roads, and at intersections parallel streets could be seen. The limits of the uniform prior for the encountering component a ...
... the area coverage was based on the assumption that more than 50% of the total area was covered, as the transect passed every second parallel road, most compounds are along the roads, and at intersections parallel streets could be seen. The limits of the uniform prior for the encountering component a ...
Sampling and sampling distribution
... Statistical Inference Many economic and social decisions are based on figures from the entire population, e.g., how many homeless people are there? what is household income? ...
... Statistical Inference Many economic and social decisions are based on figures from the entire population, e.g., how many homeless people are there? what is household income? ...
November 2003 examination
... 12) A driver is selected at random. If the driver is a “good” driver, he is from a Poisson population with a mean of 1 claim per year. If the driver is a “bad” driver, he is from a Poisson population with a mean of 5 claims per year. There is equal probability that the driver is either a “good” driv ...
... 12) A driver is selected at random. If the driver is a “good” driver, he is from a Poisson population with a mean of 1 claim per year. If the driver is a “bad” driver, he is from a Poisson population with a mean of 5 claims per year. There is equal probability that the driver is either a “good” driv ...
The confidence level of an interval estimate of a parameter is the
... • A good estimator must be unbiased, consistent, and relatively efficient. • There are two types of estimates of a parameter: point estimates and interval estimates. • A point estimate is a single value. The problem with point estimates is that the accuracy of the estimate cannot be determined, so t ...
... • A good estimator must be unbiased, consistent, and relatively efficient. • There are two types of estimates of a parameter: point estimates and interval estimates. • A point estimate is a single value. The problem with point estimates is that the accuracy of the estimate cannot be determined, so t ...
Review Problems Week 4
... 6. Twenty-five credit card holders are selected at random. For each, their current credit card balance is recorded. The average for these 25 people is x = $600. Assume that the current balance of all credit card holders follows a normal distribution with unknown mean µ, and that a 90% confidence in ...
... 6. Twenty-five credit card holders are selected at random. For each, their current credit card balance is recorded. The average for these 25 people is x = $600. Assume that the current balance of all credit card holders follows a normal distribution with unknown mean µ, and that a 90% confidence in ...
L02
... How to deal with suspected outliers: ◮ First, investigate their causes. If it is a mistake (like recording error or mistake in experiments), you can correct outliers if possible delete them If no clear reason to drop outliers, you may ...
... How to deal with suspected outliers: ◮ First, investigate their causes. If it is a mistake (like recording error or mistake in experiments), you can correct outliers if possible delete them If no clear reason to drop outliers, you may ...
