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Learn about the continuous probability distribution that generalizes the normal distribution and has heavier tails. Find out its history, properties, special cases, and applications in statistics and Bayesian analysis.
28 sie 2020 · Learn what a t-distribution is and how to use it for confidence intervals and statistical tests. Find out how it differs from the standard normal distribution and how to calculate t-scores and p-values.
Rozkład t jest stosowany w estymacji przedziałowej, w testach parametrycznych, w szczególności dla wartości średnich (test t Studenta, test t Welcha) i dla wariancji oraz w testach istotności parametrów statystycznych – zwłaszcza gdy mamy do czynienia z próbami małymi (najczęściej arbitralnie przyjmuje się, że próba jest mała ...
Learn about the Student's t distribution, a continuous probability distribution that arises from dividing a normal random variable by a Chi-square or a Gamma random variable. Find out its expected value, variance, moment generating function, distribution function, and how it converges to the normal distribution.
Learn what the t distribution is, how it differs from the normal distribution, and when to use it for t-tests and confidence intervals. The t distribution has one parameter, the degrees of freedom, that reflects the sample size and the population standard deviation uncertainty.
Learn how t-tests use t-values and t-distributions to compare sample means to null hypotheses. See graphs, examples, and formulas for different types of t-tests and degrees of freedom.
3 wrz 2024 · Learn about the t-distribution, a sampling distribution for estimating the mean of a normal population when the standard deviation is unknown. See how the t-distribution changes with degrees of freedom and how to use critical values for hypothesis testing.
