0
Suppose a normal distribution has a mean of 50 and a standard deviation of 3. What is P(x≤53)?
0.84
What else can I help you with?
What is the standard deviation of a standard normal distribution?
The standard deviation in a standard normal distribution is 1.
In the standard normal distribution the standard deviation is always what?
The standard deviation in a standard normal distribution is 1.
Can a normal distribution have a standard deviation of 1?
Yes, a normal distribution can have a standard deviation of 1. In fact, the standard normal distribution, which is a specific case of the normal distribution, has a mean of 0 and a standard deviation of 1. This allows for easy computation of z-scores, which standardize any normal distribution for comparison. Therefore, a normal distribution with a standard deviation of 1 is a valid and common scenario.
How does standard normal distribution differ from normal distribution?
The standard normal distribution has a mean of 0 and a standard deviation of 1.
Which normal distribution is also the standard normal curve?
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
A standard normal distribution has a mean of and standard deviation of?
Mean 0, standard deviation 1.
What is Normal of Standard Normal Probability Distribution?
with mean of and standard deviation of 1.
In your own words describe the standard normal distribution?
The standard normal distribution is a special case normal distribution, which has a mean of zero and a standard deviation of one.
Suppose z has a standard normal distribution with a mean of 0 and a standard deviation of 1. the probability that z is less than 1.15 is?
probability is 43.3%
What is the distribution with an means of 0 and a standard deviation of 1?
It is called a standard normal distribution.
When the population standard deviation is known the sampling distribution is a?
normal distribution
Is the standard normal distribution has a mean of 1 and standard deviation of 0?
No.
