What is the shape of the Normal distribution?Question 3Answera.bell curveb.squarec.rectangular
Question
What is the shape of the Normal distribution?
Question 3
Answer
- a. bell curve
- b. square
- c. rectangular
Solution
1. Break Down the Problem
The question asks for the shape of the Normal distribution and provides multiple choices. We need to identify the correct option.
2. Relevant Concepts
The Normal distribution, also known as Gaussian distribution, is a probability distribution that is symmetric about the mean.
3. Analysis and Detail
- The Normal distribution is often represented graphically as a bell-shaped curve.
- It has two main characteristics: it is symmetric around the mean, and it tapers off towards the extremes.
4. Verify and Summarize
Among the choices provided:
- a. bell curve: This describes the shape accurately.
- b. square: This does not correspond to any known distribution.
- c. rectangular: This is also incorrect for a Normal distribution.
Final Answer
The shape of the Normal distribution is best described as a bell curve (answer a).
Similar Questions
In a normal distribution, what is the shape of the probability density function?Group of answer choices ExponentialU-shapedUniformBell-shaped
Normal probability distribution isSelect one:A. a bell-shaped distributionB. all of the answerC. a continuous distributionD. symmetric
What is the total area under the standard normal distribution curve?Question 4Answera.2b.1c.3
2D6 added together forms what kind of distribution?LinearBell CurveComplexFulcrumHierarchal Three Dimensional
The total area of the normal curve is the(a) one(b) 50 percent(c) 0.50(d) any value between 0 and 1
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.