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Sampling bias.

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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: What is the difference between the sample mean and the population mean known as?
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What is the difference between population survey and sample survey?

A population survey, better known as a census, entails the collection of each unit in the population. In sample survey information is collected from a subset of the population. The subset, or sample, needs to be selected carefully so that it is representative of the whole population and, if that requirement is met, statistics based on the sample are good estimators for the corresponding population parameters.

When testing for differences between two means the sample population are?

You are testing the difference between two means of independent sample and the population variance are not known. from those population you take two samples of two different size n1and n2. what degrees of freedom is appropriate to consider in this case

What is the difference between an individual a population a community and an ecosystem?

The difference in between an individual, a population, a community, and an ecosystem is and individual (also known as an organism) is only one thing. The difference in between an an organism and a population is a population is multiple organisms. The difference between a population and a community is a group of populations make a community which of course makes a whole ecosystem.

How can you tell if the population data is related to the sample data?

There are Goodness-of-Fit tests that can be used. The choice of test will depend on what is known about the population and sample data.

Numerical facts based on research conducted with a sample population are known as?

The answer is Statistics

What is the difference between range and spread in mathematics?

In Statistics, the measure of spread tells us how much adata sample is spread out or scattered. We can use the range and the interquartile range (IQR) to measure the spread of a sample. Measures of spread together with measures of location (or central tendency) are important for identifying key features of a sample to better understand the population from which the sample comes from. The range is the difference between a high number and the low number in the samples presented. It represents how spread out or scattered a set of data. It is also known as measures of dispersion or measures of spread.

A sample selected in such a way that each members of the population has an equal probability of being chosen?

That is known as a simple random sample, or SRS.

What is the difference between stratified an random sampling?

In (Simple) random sampling, all of the units in the sample have the same chance of being included in the sample. Units are selected randomly from a population by some random method that gives equal probability to each element. In stratified random sampling, the entire population is divided into heterogeneous sub-popuation known as strata (sub-population with unequal variances) and a random sample is chosen from each of these stratum. The reason when to use which depends on the situation and need of the experimenter.

Can the margin of error be determined if only the confidence level is known?

No, more information is needed to determine the margin of error. For example, one may need to know the sample's mean, the sample size, and the standard deviations of the population and sample. Depending on the type of test one is performing, certain parameters need not be known. For example, the population standard deviation does not need to be known in a one sample T-test.

When the population standard deviation is not known the sampling distribution is a?

If the samples are drawn frm a normal population, when the population standard deviation is unknown and estimated by the sample standard deviation, the sampling distribution of the sample means follow a t-distribution.

When to use z or t-distribution?

If the sample size is large (>30) or the population standard deviation is known, we use the z-distribution.If the sample sie is small and the population standard deviation is unknown, we use the t-distribution

What is the difference between gross and net pay known as?

It is known as deductions.

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