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You add together all the observations for the variable of interest and divide the sum by the number of observations.

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โˆ™ 2014-05-09 17:18:44
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Algebra

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A polynomial of degree zero is a constant term

The grouping method of factoring can still be used when only some of the terms share a common factor A True B False

The sum or difference of p and q is the of the x-term in the trinomial

A number a power of a variable or a product of the two is a monomial while a polynomial is the of monomials

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Q: How do you find the point estimate of the population mean?
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Is the sample mean a point estimate of the population mean?

A point estimate of a population parameter is a single value of a statistic. For example, the sample mean x is a point estimate of the population mean μ. Similarly, the sample proportion p is a point estimate of the population proportion P.


True or false the sample mean is a point of estimate of the population mean?

Nearly true. It is a point estimate, not point ofestimate.


Is the point estimate the same as the average?

No. The average of a dataset is the point estimate for the mean of the population.


A sample mean is the best point estimate of the?

he population mean


How do you compute the point estimate of a population mean?

You add together all the observed values and divide the answer by the number of observations.


What is the difference between the population mean and sample mean?

The population mean is the mean calculated over every member of the set of subjects being studied. It is usually not available and a survey is used to find an estimate for the population mean. The mean value of the variable in question, calculated from only the subjects included in the sample (or survey) is the sample mean. Provided some basic statistical requirements are met, the sample mean is a "good" estimate of the population mean.


What is the best estimator of population mean?

The best point estimator of the population mean would be the sample mean.


What is the difference between calculating the sample mean and the population mean?

You calculate the actual sample mean, and from that number, you then estimate the probable mean (or the range) of the population from which that sample was drawn.


Can ypu find the mean and median with data from a histogram?

You can estimate the median and the mean.


When using the distribution of sample mean to estimate the population mean what is the benefit of using larger sample sizes?

The variance decreases with a larger sample so that the sample mean is likely to be closer to the population mean.


What are quantitative techniques?

Many of the quantitative techniques fall into two broad categories: # Interval estimation # Hypothesis tests Interval Estimates It is common in statistics to estimate a parameter from a sample of data. The value of the parameter using all of the possible data, not just the sample data, is called the population parameter or true value of the parameter. An estimate of the true parameter value is made using the sample data. This is called a point estimate or a sample estimate. For example, the most commonly used measure of location is the mean. The population, or true, mean is the sum of all the members of the given population divided by the number of members in the population. As it is typically impractical to measure every member of the population, a random sample is drawn from the population. The sample mean is calculated by summing the values in the sample and dividing by the number of values in the sample. This sample mean is then used as the point estimate of the population mean. Interval estimates expand on point estimates by incorporating the uncertainty of the point estimate. In the example for the mean above, different samples from the same population will generate different values for the sample mean. An interval estimate quantifies this uncertainty in the sample estimate by computing lower and upper values of an interval which will, with a given level of confidence (i.e., probability), contain the population parameter. Hypothesis Tests Hypothesis tests also address the uncertainty of the sample estimate. However, instead of providing an interval, a hypothesis test attempts to refute a specific claim about a population parameter based on the sample data. For example, the hypothesis might be one of the following: * the population mean is equal to 10 * the population standard deviation is equal to 5 * the means from two populations are equal * the standard deviations from 5 populations are equal To reject a hypothesis is to conclude that it is false. However, to accept a hypothesis does not mean that it is true, only that we do not have evidence to believe otherwise. Thus hypothesis tests are usually stated in terms of both a condition that is doubted (null hypothesis) and a condition that is believed (alternative hypothesis). Website--http://www.itl.nist.gov/div898/handbook/eda/section3/eda35.htmP.s "Just giving info on what you don't know" - ;) Sillypinkjade----


What is the the relationship between population and sample parameter and statistic?

The relations depend on what measures. The sample mean is an unbiased estimate for the population mean, with maximum likelihood. The sample maximum is a lower bound for the population maximum.


Can you find the mean or median of a set of data from a histogram?

You can estimate them both.


How do you find the degrees of freedom when using the t distribution to estimate or test the mean of a sample from a single population?

If the sample consisted of n observations, then the degrees of freedom is (n-1).


What does it mean to find a data point within one standard deviation of the mean?

The data point is close to the expected value.


How many people live in the state of Delaware?

875,953 people live in Delaware as of 2008.But, the 2010 estimate for it's population is 896,880 people so this would mean that right now, it's population is between these two populations.Sorry, I could not find the 2009 population on the internet.


When using subject by subject or a point by point mean in a compare and contrast essay?

be a wenis to find out


What is point estimation?

In statistics, point estimation is the process of providing a number or vector (which could be an infinite dimensional vector such as a function) that is stochastically 'close' in some sense to the actual value of that number or vector. For example, suppose that a population of people has a known mean height of 180 cm and an unknown standard deviation. Point estimation could be applied to a sample from this population to obtain an estimate of the standard deviation of its heights.


A sample of 16 people reveals the mean yealy to be 60 pound and stand deviation of 20 pound What is the value of the population mean?

You use the sample mean as the estimate of the population mean; then as standard practice place confidence limits on the mean; most use 95%.


What does floating point mean in computing?

In Computing, Floating Point refers to a method of representing an estimate of a real number in a way which has the ability to support a large range of values.


What is population mean in statistics?

The population mean is the mean value of the entire population. Contrast this with sample mean, which is the mean value of a sample of the population.


What does it mean to say that the sample variance provides an unbiased estimate of the population variance?

It means you can take a measure of the variance of the sample and expect that result to be consistent for the entire population, and the sample is a valid representation for/of the population and does not influence that measure of the population.


What does the derivative at a point mean?

The derivative at any point in a curve is equal to the slope of the line tangent to the curve at that point. Doing it in terms of the actual expression of the curve, find the derivative of the curve, then plug the x-value of the point into the derivative to find the derivative at that point.


Demographics what does it mean?

Demographics are the quantifiable statistics of a given population. Demographics are also used to identify the study of quantifiable subsets within a given population which characterize that population at a specific point in time.


Why is it only possible to estimate the mean median and quartiles?

In reality, a statistician never really has ALL the data. The data is instead taken from a sample of the whole population. If this sample is representative of the entire population, then any statistics based on the sample should be good estimates of the whole but probably not a perfect match. Of course the more data you get from the whole population the better the estimate, but it will always be an estimate unless you census the enitire population.