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.
Learner's Ratings
4.7
Overall Rating
75%
19%
6%
0%
0%
Reviews
M
MD Mishkat Ahsan
5
plzz provide pdf notes also
N
Neha Tiwari
5
Mujhe ye link Sanjeev Sir k ek vedio se mili.. & i am very happy to watch this vedio..
& my all doughts are clear..
A
Ankur Sharma
5
Very good course content and explanation
V
Vivek srivastava
4
Really very good course
S
Shivendra Shahi
5
Fantastic
P
Pradeep Verma
5
The best statistics course ever found . The tuitor is very friendly and her explanation is genuinely very good. Thank you very much learnvern for this beautiful course.
R
Rashmi Mahajan
5
topics covered and explained in well manner.
daily life examples given which makes us easy to understand the concept.
very simple and understandable way of representation.
Share a personalized message with your friends.