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How come the mean is less than the median?
If the distribution is not symmetric, the mean will be different from the median. A negatively skewed distribution will have a mean hat is smaller than the median, provided it is unimodal.
How the values of mean and median relate to shape?
The question is how do the mean and median affect the distribution shape. In a normal curve, the mean and median are both in the same point. ( as is the mode) If a distribution is skewed, its tail is either on the right or the left. If a distribution is skewed the median may be a better value to use than the mean since it has less effect on the shape. Also is there are large outliers, the median has less effect and is better to use. So the mean has a bigger effect on the shape many times than the median.
What are six numbers where the mode is 100 and the mean is less than the median?
(1, 5, 97, 99, 100, 100) The mode is 100. The median is 98. The mean is 67.
When is the median more useful than the mean?
When the distribution has outliers. They will skew the mean but will not affect the median.
Can the range be zero?
can the median be less than the range
How come the mean is less than the median?
If the distribution is not symmetric, the mean will be different from the median. A negatively skewed distribution will have a mean hat is smaller than the median, provided it is unimodal.
What Mode is 100 and mean is less than the median?
IDN
Mode is 100 and mean is less than the median?
Oh, dude, it's like when you have a group of numbers and the mode, which is the most common one, is 100, but the mean, which is the average, is lower than the median, which is like the middle number when they're all lined up. So basically, it's just a funky little math situation where the numbers are playing musical chairs and the mean ends up being the odd one out below the median.
When is the mean less than the median?
When the data distribution is negatively skewed.
How the values of mean and median relate to shape?
The question is how do the mean and median affect the distribution shape. In a normal curve, the mean and median are both in the same point. ( as is the mode) If a distribution is skewed, its tail is either on the right or the left. If a distribution is skewed the median may be a better value to use than the mean since it has less effect on the shape. Also is there are large outliers, the median has less effect and is better to use. So the mean has a bigger effect on the shape many times than the median.
What is the median of the prime numbers less than 40?
The median of the 12 primes less than 40 is 15.
The point of intersection of the less than and more than ogive corresponds to 1.geometric mean 2.mode 3. median 4.none of the above?
median
What are six numbers where the mode is 100 and the mean is less than the median?
(1, 5, 97, 99, 100, 100) The mode is 100. The median is 98. The mean is 67.
What are the characteristics of mean as a measure of central tendency?
One of the characteristics of mean when measuring central tendency is that when there are positively skewed distributions, the mean is always greater than the median. Another characteristic is that when there are negatively skewed distributions, the mean is always less than the median.
Why use a median instead of average?
The median is less effected by outliers or numbers far outside of the normal range than the mean. See related link.
How does the outlier affect the mean and median?
The mean is better than the median when there are outliers.
Can the mean be smaller than the median for a set of data?
Yes. If the lower values tend to be farther below the median than the highest values are above the median, the mean is smaller than the median. why are write wrong
