Which statement regarding skewed distributions is FALSE? The "68-95-99" rule does not apply to skewed distributions. If a distribution is negatively skewed, the mean will always be a lower value than the median. If a distribution is negatively skewed, the mode will always be a different value than the median. If a distribution is positively skewed, the mean will always be a higher value than the median.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Which statement regarding skewed distributions is FALSE?
- The "68-95-99" rule does not apply to skewed distributions.
- If a distribution is negatively skewed, the
mean will always be a lower value than themedian . - If a distribution is negatively skewed, the
mode will always be a different value than the median. - If a distribution is positively skewed, the mean will always be a higher value than the median.
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