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A t-distribution with 15 degrees of freedom

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Q: A researcher collected 15 data points that seem to be reasonably bell shaped Which distribution should the researcher use to calculate confidence intervals?
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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


How to calculate the degrees of freedom for t-distribution?

n-1


How do you calculate the mean of the sampling distribution of the sample proportion?

i dont no the answer


How do you calculate sampling distribution parameters?

The answer depends on which parameters are to be calculated.


What is the mean of the sampling distribution of the sample mean?

Frequently it's impossible or impractical to test the entire universe of data to determine probabilities. So we test a small sub-set of the universal database and we call that the sample. Then using that sub-set of data we calculate its distribution, which is called the sample distribution. Normally we find the sample distribution has a bell shape, which we actually call the "normal distribution." When the data reflect the normal distribution of a sample, we call it the Student's t distribution to distinguish it from the normal distribution of a universe of data. The Student's t distribution is useful because with it and the small number of data we test, we can infer the probability distribution of the entire universal data set with some degree of confidence.


What is the sampling distribution of sample means and why is it useful?

Frequently it's impossible or impractical to test the entire universe of data to determine probabilities. So we test a small sub-set of the universal database and we call that the sample. Then using that sub-set of data we calculate its distribution, which is called the sample distribution. Normally we find the sample distribution has a bell shape, which we actually call the "normal distribution." When the data reflect the normal distribution of a sample, we call it the Student's t distribution to distinguish it from the normal distribution of a universe of data. The Student's t distribution is useful because with it and the small number of data we test, we can infer the probability distribution of the entire universal data set with some degree of confidence.


How do you calculate population distribution?

To calculate population distribution, one must know the total of the population, as well as, the total area of the land in which the population is in. Then, the total population is divided by the total area. The population distribution is answered in square kilometers and square miles.


Why you need sampling distribution?

in order to calculate the mean of the sample's mean and also to calculate the standard deviation of the sample's


How do you calculate the confidence interval for a population mea?

It's a mystery. need detetive conan.


How do you calculate a coefficient knowing the expected rate of return and standard deviation?

It depends on what the underlying distribution is and which coefficient you want to calculate.


How do you to get the probability in normal distribution?

You calculate the z-scores and then use published tables.


True or False As the amount of confidence increases the required sample size should decrease Explain your answer?

I can examine this as a question of theory or real life: As a matter of theory, I will rephrase your question as follows: Does theoretical confidence interval of the mean (CI) of a sample, size n become larger as n is reduced? The answer is true. This is established from the sampling distribution of the mean. The sampling distribution is the probability distribution of the mean of a sample, size n. I will also consider the question as a matter of real life: If I take a sample from a population, size 50 and calculate the CI and take a smaller sample, say size 10, will I calculate a larger CI? If I use the standard deviation calculated from the sample, this is not necessarily true. The CI should be larger but I can't say in every case it will belarger. The standard deviation of the sample will vary from sample to sample. I hope this answers your question. You can find more information on confidence intervals at: http://onlinestatbook.com/chapter8/mean.html