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Q: The mean and standard deviation of a population being sampled are 64 and 6 respectively. If the sample size is 50 what is the standard error of the mean?
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What is the difference between target population and sampled population?

sampled population?


What is difference between target population and sampled population?

sampled population?


What is a relevant population?

A relevant population occurs in statistics. This is the population that is being sampled.


Population and sampling techniques of statistics?

population -group statistically sampled.


What is rate measure and calculation of errors?

Standard error (statistics)From Wikipedia, the free encyclopediaFor a value that is sampled with an unbiased normally distributed error, the above depicts the proportion of samples that would fall between 0, 1, 2, and 3 standard deviations above and below the actual value.The standard error is a method of measurement or estimation of the standard deviation of the sampling distribution associated with the estimation method.[1] The term may also be used to refer to an estimate of that standard deviation, derived from a particular sample used to compute the estimate.For example, the sample mean is the usual estimator of a population mean. However, different samples drawn from that same population would in general have different values of the sample mean. The standard error of the mean (i.e., of using the sample mean as a method of estimating the population mean) is the standard deviation of those sample means over all possible samples (of a given size) drawn from the population. Secondly, the standard error of the mean can refer to an estimate of that standard deviation, computed from the sample of data being analyzed at the time.A way for remembering the term standard error is that, as long as the estimator is unbiased, the standard deviation of the error (the difference between the estimate and the true value) is the same as the standard deviation of the estimates themselves; this is true since the standard deviation of the difference between the random variable and its expected value is equal to the standard deviation of a random variable itself.In practical applications, the true value of the standard deviation (of the error) is usually unknown. As a result, the term standard error is often used to refer to an estimate of this unknown quantity. In such cases it is important to be clear about what has been done and to attempt to take proper account of the fact that the standard error is only an estimate. Unfortunately, this is not often possible and it may then be better to use an approach that avoids using a standard error, for example by using maximum likelihood or a more formal approach to deriving confidence intervals. One well-known case where a proper allowance can be made arises where Student's t-distribution is used to provide a confidence interval for an estimated mean or difference of means. In other cases, the standard error may usefully be used to provide an indication of the size of the uncertainty, but its formal or semi-formal use to provide confidence intervals or tests should be avoided unless the sample size is at least moderately large. Here "large enough" would depend on the particular quantities being analyzed (see power).In regression analysis, the term "standard error" is also used in the phrase standard error of the regression to mean the ordinary least squares estimate of the standard deviation of the underlying errors.[2][3]


What is a random sample from a population?

A random sample is a sample (subset of the population) where each member of the population has an equal chance of being sampled. See related links.


What is the difference between target population and sample population?

the sampled population includes all people whom are included in the sample, the targeted population is what the statistics practitioner is targeting or questioning


What does all the population in a certain area make up?

What I believe you are referring to is cluster sampling or cluster. In cluster sampling, the population is divided into clusters and all population members in the cluster are sampled.


A population is divided into non-overlapping similar groups from which to be sampled what type of sampling method is this?

Stratified Random Sampling. Google it. .


If a population consists of 5400000 people and a census is taken how many people are sampled?

5,400,000


In research you often rely on the 68-95-99 rule?

This rule is related to the standard deviation of a sampled population. In research, data is collected to find out something about the subjects being studied or examined. In most cases, we expect the collected statistics (data) to fit the normal distribution, which is also called the "bell curve" distribution. If the data fits this curve, there will be three distinct points along the bell curve that are statistically important. These three points are the first, second, and third standard deviations from the sample mean. The numbers 68, 95, and 99 correspond to the percentage of all samples that will fall within the three regions defined by the 1st, 2nd, and 3rd standard deviations.


What song is sampled in Cassie's me and you?

There is no song that is sampled in the singer Cassie's song, 'Me and You.' The singing group Le Youth has sampled this song.