The mean and standard deviation.
The Student's T- Distribution is a type of probability distribution that is theoretical and resembles a normal distribution. The Student T- Distribution differs from the normal distribution by its degrees of freedom.
No they are not the same.
z-scores are distributed according to the standard normal distribution. That is, with the parameters: mean 0 and variance 1.
Check the lecture on t distributions at StatLect. It is explained there.
The answer depends on which parameters are to be calculated.
There are infinitely many sets of parameters that will generate a bell shaped curves - or near approximations. The Student's t or binomial, for large sample sizes get very close to the Gaussian distribution. There are others, too.
The mean and standard deviation.
The Student's T- Distribution is a type of probability distribution that is theoretical and resembles a normal distribution. The Student T- Distribution differs from the normal distribution by its degrees of freedom.
Yes. The parameters of the t distribution are mean, variance and the degree of freedom. The degree of freedom is equal to n-1, where n is the sample size. As a rule of thumb, above a sample size of 100, the degrees of freedom will be insignificant and can be ignored, by using the normal distribution. Some textbooks state that above 30, the degrees of freedom can be ignored.
The positive critical value depends on the distribution and then the parameters (if any) which characterise the distribution.
The t-distribution is symmetric so the question is irrelevant.The t-distribution is symmetric so the question is irrelevant.The t-distribution is symmetric so the question is irrelevant.The t-distribution is symmetric so the question is irrelevant.
The normal distribution has two parameters, the mean and the standard deviation Once we know these parameters, we know everything we need to know about a particular normal distribution. This is a very nice feature for a distribution to have. Also, the mean, median and mode are all the same in the normal distribution. Also, the normal distribution is important in the central limit theorem. These and many other facts make the normal distribution a nice distribution to have in statistics.
Given T=Z/√(U/ν), Z~N(0,1) and U~χ_ν^2, T follows the Student t-Distribution t_ν Student t-Distribution
The absorption, distribution, metabolism and excretion of drugs are the primary four parameters of pharmacokinetics.
You cannot. There are hundreds of different distributions. The shapes of the distributions depend on their parameters so that the same distribution can be symmetric when the parameters have some specific value, but is highly skewed - in either direction - for other values.
Given T=Z/√(U/ν), Z~N(0,1) and U~χ_ν^2, T follows the Student t-Distribution t_ν Student t-Distribution