Course Content

  • Z-Table, T-Table , Chi-Square Table

Course Content


In statistics, a uniform distribution is a distribution function in which every potential outcome is equally likely to occur; that is, the probability of each occurrence is the same.

A consistent distribution can also be found in a deck of cards. This is because a person's chances of drawing a spade, a heart, a club, or a diamond are all identical. A coin toss is another example of a uniform distribution. The chances of acquiring a tail or a head are equal.

The frequency test is a homogeneity test. The Kolmogorov-Smirnov test and the chi-square test are two approaches that can be used. The agreement between the distribution of a sample of generated random numbers and the theoretical uniform distribution is measured by both tests.

A uniform distribution, often known as a rectangle distribution, is one in which the probability is constant.

A uniform distribution is used in any case where every event in a sample space is equally likely. Rolling a single standard die is an illustration of this in a discrete case. The dice has a total of six sides, each of which has the equal chance of being rolled face up.

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