The relationship between the mean and the median depends on the shape of the distribution. In a symmetric distribution, the mean and median are equal, so if the mean is 105, the median would also be 105. However, if the distribution is skewed, the median could be less than or greater than the mean. Without additional information about the distribution's shape, we cannot definitively determine the median.
In a normal distribution, the mean, median, and mode are all equal. Therefore, if the mean of the distribution is 105, the median of the distribution is also 105. This property holds true for any normal distribution regardless of its standard deviation.
No, the mean is not always less than the median. The relationship between the mean and the median depends on the distribution of the data. In a skewed distribution, the mean can be less than or greater than the median; for example, in a left-skewed distribution, the mean is typically less than the median, while in a right-skewed distribution, the mean is usually greater than the median. In symmetrical distributions, like the normal distribution, the mean and median are equal.
In a normal distribution, the mean, median, and mode are all equal. Therefore, if the mean is 40, the median is also 40. This property holds true for any normal distribution regardless of its specific values.
Mean, median, and mode are all equal in a normal distribution.
No.
In a normal distribution, the mean, median, and mode are all equal. Therefore, if the mean of the distribution is 105, the median of the distribution is also 105. This property holds true for any normal distribution regardless of its standard deviation.
If it is a symmetric distribution, the median must be 130.
No, the mean is not always less than the median. The relationship between the mean and the median depends on the distribution of the data. In a skewed distribution, the mean can be less than or greater than the median; for example, in a left-skewed distribution, the mean is typically less than the median, while in a right-skewed distribution, the mean is usually greater than the median. In symmetrical distributions, like the normal distribution, the mean and median are equal.
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.
i) Since Mean<Median the distribution is negatively skewed ii) Since Mean>Median the distribution is positively skewed iii) Median>Mode the distribution is positively skewed iv) Median<Mode the distribution is negatively skewed
for symmetrical distributions your mean equals the median. that is one of the properties of the symmetrical distribution.
That would provide some evidence that the distribution is symmetric about the mean (or median).
That would provide some evidence that the distribution is symmetric about the mean (or median).
The normal distribution.
In a normal distribution, the mean, median, and mode are all equal. Therefore, if the mean is 40, the median is also 40. This property holds true for any normal distribution regardless of its specific values.
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.
When the distribution has outliers. They will skew the mean but will not affect the median.