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What else can I help you with?
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 does it means if the standard deviation is large?
that you have a large variance in the population and/or your sample size is too small
What does polled mean?
When your talking about cows, it means a cow that's naturally horns. and its other stuff for other animals
What happens to the sample size if you increase the standard deviation?
The statistics of the population aren't supposed to depend on the sample size. If they do, that just means that at least one of the samples doesn't accurately represent the population. Maybe both.
What is the difference between sample and sampling?
sample is a noun. sampling is a verb. Statistically speaking, a sample is where we gather and examine part of a population. A sampling is where we take the means of samples in order to gather info about the whole...
Why is the sample mean an unbiased estimator of the population mean?
The sample mean is an unbiased estimator of the population mean because the average of all the possible sample means of size n is equal to the population mean.
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.
Why is population sampling most effective when a population has an even dispersion pattern?
If the population is not evenly dispersed then the sample may unfortunately come from a section that is not typical of the population. That means the sample will not be representative of the population and so any estimates for the population, based on sample statistics are biased and therefore unreliable.
What does simple random sample mean in statistics?
It means that every member of the population has the same probability of being included in the sample.
What is the defining characteristic of a representative sample?
A representative sample accurately reflects the characteristics of the population it is drawn from. This means that the sample is chosen in a way that each member of the population has an equal chance of being included in the sample, which helps to ensure that the findings can be generalized back to the population.
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
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 a large number of samples are drawn from a negatively skewed population the distribution of the sample means?
.45
What does it means if the standard deviation is large?
that you have a large variance in the population and/or your sample size is too small
What does polled mean?
When your talking about cows, it means a cow that's naturally horns. and its other stuff for other animals
What happens to the sample size if you increase the standard deviation?
The statistics of the population aren't supposed to depend on the sample size. If they do, that just means that at least one of the samples doesn't accurately represent the population. Maybe both.
What is the distribution of sample means constructed by sampling 5 items from a population of 15?
the standard error will be 1
