Contents
Which is the rule on which normal distribution is applied?
1. Normal Distribution is applied for ___________ Explanation: This is the rule on which Normal distribution is defined, no details on this as of why For more knowledge on this aspect, you can refer to any book or website which speaks on the same. 2.
How many binomial distribution questions do you have?
(Show work and round the answer to 2 deci… On a multiple-choice exam, there are 4 possible answers to each of 15 questions. Each questions has only one correct answer. A student, “J”, has not studied and must guess the answer to each questi…
What is the value of mean in normal distribution?
Explanation: In a standard normal distribution the value of mean is o and in normal distribution mean, median and mode coincide. Sanfoundry Global Education & Learning Series – Probability and Statistics.
Why does normal distribution have a bell shaped curve?
Explanation: Due to the nature of the Probability Mass function, a bell shaped curve is obtained. 3. Normal Distribution is symmetric is about ___________ Explanation: Due to the very nature of p.m.f of Normal Distribution, the graph appears such that it is symmetric about its mean.
Where does the highest value of ordinate occur in normal distribution?
In Normal distribution, the highest value of ordinate occurs at ___________ Explanation: This is due the behaviour of the pdf of Normal distribution. 12. The shape of the normal curve depends on its ___________ Explanation: This can be seen in the pdf of normal distribution where standard deviation is a variable.
Why is p.m.f of normal distribution symmetric?
Explanation: Due to the very nature of p.m.f of Normal Distribution, the graph appears such that it is symmetric about its mean. 4. For a standard normal variate, the value of mean is? Explanation: For a normal variate, if its mean = 0 and standard deviation = 1, then its called as Standard Normal Variate. Here, the converse is asked.
Which is the standard deviation of a z distribution?
You may see the notation N ( μ, σ 2) where N signifies that the distribution is normal, μ is the mean, and σ 2 is the variance. A Z distribution may be described as N ( 0, 1). Note that since the standard deviation is the square root of the variance then the standard deviation of the standard normal distribution is 1.