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Capture-recapture is a good way to estimate the population size of?
Wiki User
∙ 14y ago
Deer and other animals that do not stay put. Squirrels, salmon, and butterflies are some other examples.
Wiki User
∙ 14y ago
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Why is it difficult to estimate the size of a population of animals?
They never fill out the census forms.
What is a reasonable estimate for the size of a cell nucleus?
What reasonable estimate for the size of a cell's nucleus?
What are ecological Oscillations?
cycles in population size over time; repeating changes in population size over time
A reasonable estimate for the size of a cell's nucleus is?
1.5um
The genetic equilibrium of a population can be disturbed by each except?
A large population size.
When can you estimate a population's size when counting individuals in a sample of the population?
You can estimate a population's size when counting individuals if the density in a sample is greater than the population density.
What is the estimate current world population size?
4.3 billion
What is one method the ecologists use to estimate the the size of a population?
survey
What is one method the ecologists use to estimate the size of a population?
survey
Why is it difficult to estimate the size of a population of animals?
They never fill out the census forms.
Where does the UK fit in terms of population with the world?
The UK ranks 21st in the world in terms of population, with around 66 million people. This puts it in the top tier of countries by population, although countries like China and India have significantly larger populations.
What is the size and population of Romania?
Area: 238 391 km2 Population (estimate): ca. 21 450 000 at 15 June 2009
What are the main qualities of a good estimator?
A "Good" estimator is the one which provides an estimate with the following qualities:Unbiasedness: An estimate is said to be an unbiased estimate of a given parameter when the expected value of that estimator can be shown to be equal to the parameter being estimated. For example, the mean of a sample is an unbiased estimate of the mean of the population from which the sample was drawn. Unbiasedness is a good quality for an estimate, since, in such a case, using weighted average of several estimates provides a better estimate than each one of those estimates. Therefore, unbiasedness allows us to upgrade our estimates. For example, if your estimates of the population mean µ are say, 10, and 11.2 from two independent samples of sizes 20, and 30 respectively, then a better estimate of the population mean µ based on both samples is [20 (10) + 30 (11.2)] (20 + 30) = 10.75.Consistency: The standard deviation of an estimate is called the standard error of that estimate. The larger the standard error the more error in your estimate. The standard deviation of an estimate is a commonly used index of the error entailed in estimating a population parameter based on the information in a random sample of size n from the entire population.An estimator is said to be "consistent" if increasing the sample size produces an estimate with smaller standard error. Therefore, your estimate is "consistent" with the sample size. That is, spending more money to obtain a larger sample produces a better estimate.Efficiency: An efficient estimate is one which has the smallest standard error among all unbiased estimators.The "best" estimator is the one which is the closest to the population parameter being estimated.
What are the quality of a good estimator?
A "Good" estimator is the one which provides an estimate with the following qualities:Unbiasedness: An estimate is said to be an unbiased estimate of a given parameter when the expected value of that estimator can be shown to be equal to the parameter being estimated. For example, the mean of a sample is an unbiased estimate of the mean of the population from which the sample was drawn. Unbiasedness is a good quality for an estimate, since, in such a case, using weighted average of several estimates provides a better estimate than each one of those estimates. Therefore, unbiasedness allows us to upgrade our estimates. For example, if your estimates of the population mean µ are say, 10, and 11.2 from two independent samples of sizes 20, and 30 respectively, then a better estimate of the population mean µ based on both samples is [20 (10) + 30 (11.2)] (20 + 30) = 10.75.Consistency: The standard deviation of an estimate is called the standard error of that estimate. The larger the standard error the more error in your estimate. The standard deviation of an estimate is a commonly used index of the error entailed in estimating a population parameter based on the information in a random sample of size n from the entire population.An estimator is said to be "consistent" if increasing the sample size produces an estimate with smaller standard error. Therefore, your estimate is "consistent" with the sample size. That is, spending more money to obtain a larger sample produces a better estimate.Efficiency: An efficient estimate is one which has the smallest standard error among all unbiased estimators.The "best" estimator is the one which is the closest to the population parameter being estimated.
Why do ecologists use the technique of sampling to estimate population size?
In many cases, it is not even possible to count signs of every member of a population. The population may be very large or spread over a wide area. In such cases ecologists usually make an estimate. An estimate is an approximation of number, based on reasonable assumptions.
What sample size is required from a very large population to estimate a population proportion within?
The answer depends on how rare or common the selected trait is. For something that is very rare, you will need a much larger sample to get a reasonable estimate of proportion.
Number used to estimate a population parameter?
A point estimate is a single value used to estimate a population parameter, such as the sample mean used to estimate the population mean. Confidence intervals can also be used to provide a range within which the population parameter is likely to lie.
