For the interval estimation, the proper distribution to use is the d. t distribution with 24 degrees of freedom.

Proper distribution is one that integrates (inside the case of a chance density function for a continuous random variable) or sums (inside the case of a probability mass characteristic for a discrete random variable) to unity. In keeping with possibility theory, all possibility distributions should have this property.

A proper distribution function is a mathematical expression that describes the possibility that a system will tackle a specific fee or set of values. The conventional examples are associated with games of risk.

Distributions (or generalized features) are mathematical gadgets that permit the extension of the concept of the derivative to a miles larger class of (now not always non-stop) capabilities.

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Question: From a population that is normally distributed, a sample of 25 elements is selected and the standard deviation of the sample is computed. For the interval estimation of μ, the proper distribution to use is the

a. normal distribution

b. t distribution with 25 degrees of freedom

c. t distribution with 26 degrees of freedom

d. t distribution with 24 degrees of freedom

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