How do you conclude a normal distribution?
Conclusion. The normal distribution, or bell curve, is broad and dense in the middle, with shallow, tapering tails. Often, a random variable that tends to clump around a central mean and exhibits few extreme values (such as heights and weights) is normally distributed.
Related Posts:
- Why does Cauchy have no mean? - The Cauchy has no mean because the... (Read More)
- Is Cauchy distribution asymmetric? - 3. The GSC models. We now use... (Read More)
- What is Cauchy distribution used for? - The Cauchy distribution has been used in... (Read More)
- What does it mean to be Cauchy? - In mathematics, a Cauchy sequence (French pronunciation:... (Read More)
- What does a negatively skewed distribution mean? - In statistics, a negatively skewed (also known... (Read More)
- Is a normal distribution unimodal? - The normal distribution is an example of... (Read More)
- Does weight follow a normal distribution? - Body weight is not normally distributed, but... (Read More)
- How do you find the middle 80 of a normal distribution? - On the other hand, to find the... (Read More)