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Q: Is point estimate a range of values used to estimate a population parameter?
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What is used to estimate the population parameter?

point estimate


What is Hypothesis Testing of Point Estimate?

A statistical estimate of the population parameter.


What sample statistic is used to estimate a population parameter?

A point estimate is a single value (statistic) used to estimate a population value (parameter)true apex


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.


If a population consisted of 75000 people surveying 75000 people from the population could result in a parameter but not a point estimate.?

True


What is the absolute value of the difference between the point estimate and the population parameter it estimates?

B. The sampling error


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----


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.


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.


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.


A sample mean is the best point estimate of the?

he population mean


What is Confidence Intervals of Margin of Error?

The magnitude of difference between the statistic (point estimate) and the parameter (true state of nature), . This is estimated using the critical statistic and the standard error.