Question
Describe the following:
(i) t-distribution
(ii) General procedure of Testing of hypothesis
Answer :
Word Count : 505
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The t-distribution is a probability distribution that is symmetric and bell-shaped, similar to the standard normal distribution, but it has heavier tails. This characteristic makes it particularly useful when dealing with small sample sizes, typically less than 30, where the population standard deviation is unknown. The t-distribution was introduced by William Sealy Gosset under the pseudonym “Student,” which is why it is also called the Student’s t-distribution. Its shape depends on a parameter called degrees of freedom (df), which is usually related to the sample size as (df = n - 1), where (n) is the number of observations in the sample. As the degrees of freedom increase, the t-distribution approaches the standard normal distribution. The heavier tails of the t-distribution account for the additional variability expected when estimating the population standard deviation from a small sample, thereby providing more conservative estimates. It is widely used in confidence interval estimation for the population mean and in hypothesis testing when the population variance is unknown. The general procedure of testing a hypothesis involves a series of systematic steps to determine whether a claim about a population parameter is supported by sample data. The
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