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Yes, but that begs the question: how large should the sample size be?

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Q: When the sample size is large valid confidence intervals can be established for the population mean irrespective of the shape of the underlying distribution?
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The t distribution is used to construct confidence intervals for the population mean when the population standard deviation is unknown?

It can be.


When population distribution is right skewed is the interval still valid?

You probably mean the confidence interval. When you construct a confidence interval it has a percentage coverage that is based on assumptions about the population distribution. If the population distribution is skewed there is reason to believe that (a) the statistics upon which the interval are based (namely the mean and standard deviation) might well be biased, and (b) the confidence interval will not accurately cover the population value as accurately or symmetrically as expected.


In a study using 9 samples and in which the population variance is unknown the distribution that should be used to calculate confidence intervals is?

In a study using 9 samples, and in which the population variance is unknown, the distribution that should be used to calculate confidence intervals is


What percentage is the second distribution sextile of a normal bell curve?

By definition, the 1st 6-tile is the point below which 1/6 of the population falls (irrespective of which distribution is involved). The 2nd 6-tile is the point below which 2/6 of the population falls. This is 100 * 1/3 ~ 33.3% of the population.


When you use a confidence interval to reach a conclusion about the population mean you are applying a type of reasoning or logic called?

normal distribution


How do you find the population mean for a 95 percent confidence interval?

It depends whether or not the observations are independent and on the distribution of the variable that is being measured or the sample size. You cannot simply assume that the observations are independent and that the distribution is Gaussian (Normal).


What is the difference between a population distribution and sampling distribution?

Population distribution refers to the patterns that a population creates as they spread within an area. A sampling distribution is a representative, random sample of that population.


What is the population density and distribution for Portugal?

10,486.22 this is the density population and this is the distribution population 2,00465.789


What is population distribution usually greatly affected by?

Population distribution is usually greatly affected by what?


Does China's distribution population compare to the US's distribution population?

yea


Can you make a sentence with population distribution in it?

Population distribution is the way a population is apread out over an area.


Can you make a sentence with population distribution?

Population distribution is mapped by geographers all over the world or Population distribution is observed daily by geographers.