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What else can I help you with?
In which cases normal distribution is continuos and is not continuous?
The normal distribution is always continuous.
Is the standard normal distribution is continuous?
Yes, the normal distribution, standard or not is always continuous.
The distribution of sample means is not always a normal distribution Under what circumstances will the distribution of sample means not be normal?
The distribution of sample means will not be normal if the number of samples does not reach 30.
In the standard normal distribution the standard deviation is always what?
The standard deviation in a standard normal distribution is 1.
For the normal distribution does it always require a continuity correction?
Use the continuity correction when using the normal distribution to approximate a binomial distribution to take into account the binomial is a discrete distribution and the normal distribution is continuous.
Is the mean always zero in a normal distribution?
No.
Why Normal distribution is better then other distributions in statistics?
The normal distribution has two parameters, the mean and the standard deviation Once we know these parameters, we know everything we need to know about a particular normal distribution. This is a very nice feature for a distribution to have. Also, the mean, median and mode are all the same in the normal distribution. Also, the normal distribution is important in the central limit theorem. These and many other facts make the normal distribution a nice distribution to have in statistics.
How the symmetric distribution is always normal?
The statement is false. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
Normal distribution it is always true that mean equals median equals mode?
Yes- this can be proved from the normal distribution function.
Is a normal distribution always symmetrical?
yes, it's always symmetric
In the standard normal distribution the variance is always 1?
true
Is the mean always equal to the median for a normal distribution?
Yes, in a normal distribution, the mean is always equal to the median. This is because the normal distribution is symmetric around its mean, meaning that the values are evenly distributed on both sides. As a result, the central tendency measured by both the mean and the median coincides at the same point.
