Explanation of some terms in Normal(Gaussian) Distribution

In summary, normal distribution is a type of probability distribution used to describe continuous data in statistics. It is characterized by a bell-shaped curve with the majority of the data falling near the mean. The mean in a normal distribution refers to the average value of the data, while the standard deviation represents the spread of the data around the mean. The probability of a certain value occurring in a normal distribution can be calculated using the standard normal distribution table or a statistical software. A standard normal distribution is a specific type of normal distribution with a mean of 0 and a standard deviation of 1, used as a reference for calculating probabilities in other normal distributions.
  • #1
Ein Krieger
34
0
Hello,

I need your help in clarifying some points from Normal Distribution Theorem:

What does this expression exactly says:

P(Z<=z) ?

Z is random variable?

z is deviation?
 
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  • #2
##P(Z \leq z)## is the probability that the random variable, denoted capital ##Z##, is less than or equal to some specific value, lowercase ##z##. The lowercase ##z## is a variable, so that this is in fact a function

$$\Phi(z) = P(Z \leq z),$$
called the "cumulative density function.
 

What is meant by "normal distribution"?

Normal distribution, also known as Gaussian distribution, is a type of probability distribution that is commonly used to describe continuous data in statistics. It is characterized by a bell-shaped curve with the majority of the data falling near the mean and tapering off at the tails.

What does "mean" refer to in a normal distribution?

The mean in a normal distribution refers to the average value of the data, which is the point at the peak of the bell-shaped curve. It is also known as the central tendency of the data.

What is the significance of the "standard deviation" in a normal distribution?

The standard deviation in a normal distribution represents the spread of the data around the mean. It is a measure of how much the data deviates from the average value. A smaller standard deviation indicates that the data is clustered closely around the mean, while a larger standard deviation indicates a wider spread of the data.

How do you calculate the probability of a certain value occurring in a normal distribution?

The probability of a certain value occurring in a normal distribution can be calculated using the standard normal distribution table or a statistical software. It is represented by the area under the curve between the mean and the desired value.

What is the difference between a standard normal distribution and a normal distribution?

A standard normal distribution is a specific type of normal distribution with a mean of 0 and a standard deviation of 1. It is used as a reference for calculating probabilities in other normal distributions. A normal distribution can have any mean and standard deviation, and is used to describe real-world data.

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