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What is the same as the 50th percentile of a distribution?
The Median is the same as the 50th percentile of a distribution.
Is the median is the same thing as the 50th percentile?
Only if the dataset (distribution) you are dealing with in symmetric.
Is the mean value the same as th 50th percentile value?
No, it is not.
Find z score for normal distribution for 50th percentile?
Answer: 0 The z score is the value of the random variable associated with the standardized normal distribution (mean = 0, standard deviation =1). Now, the median and the mean of a normal distribution are the same. The 50 percentile z score = the median = mean = 0.
What is the distribution when the mean median and mode are the same?
The normal distribution.
Are the mean median and the mode the same in a unimodal symmetrical distribution?
No they are not the same in a unimodal symmetrical distribution and they will never be
When you calculate mean is the answer same when the same data is calculated by median?
No. The mean and median are not necessarily the same. They will be the same if the distribution is symmetric but the converse is not necessarily true. That is to say, a distribution does not have to be symmetric for the mean and median to be the same. For example, the mean and median of {1, 1, 5, 6, 12} are both 5 but the distribution is NOT symmetric.
Can mean and median have same values?
Yes, they can.Yes, they can. In a symmetric distribution they will be the same.
Why is the mean of the distribution of means the same as the mean of the population of individuals?
i agree
If the mean of a symmetric distribution is 130 which of these values could be the median of the distribution?
If it is a symmetric distribution, the median must be 130.
What is the shape of a distribution when the mean and the median are about the same value?
That would provide some evidence that the distribution is symmetric about the mean (or median).
What is the shape of a distribution when the mean and the median are the same value?
That would provide some evidence that the distribution is symmetric about the mean (or median).
