D YouTube 囚Maps Saved The durations (minutes) of 26 electric power outages in the community of Sonando Heights over the past five years are shown below. 35 50 25 66 26 11 56 11 51 15 44 42 101 32 19 14 50 22 19 25 89 27 14 19 Click here for the Excel Data File (a) Find the mean, median, and mode. (Round your answers to 2 decimal places.) Descriptive Statistics Data Mean Median Mode (b) Are the mean and median about the same? (Click to select) the mean is (Click to select) the median. (c) Is the mode a good measure of center for this data set? Yes No (d) Is the distribution skewed? Yes, the distribution is skewed right. Yes, the distribution is skewed left. < Prev 12 of 19 Next > e here to search х F1 F2 F3 F4 F5 F6 F7 F8 F9 F10 %23 24 & 2 3 4. 8. ... T 14 19 Click here for the Excel Data File (a) Find the mean, median, and mode. (Round your answers to 2 decimal places.) Descriptive Statistics Data Mean Median Mode (b) Are the mean and median about the same? Yes . the mean is (Click to select) the median. (Click to select) good measure of center for this data set? Yes No (d) Is the distribution skewed? O Yes, the distribution is skewed right. O Yes, the distribution is skewed left. Mc Graw Hill Education < Prev 12 of 19 Next > 2 Type here to search F1 F2 F3 F4 F5 F6 F7 F8 F9 F10 23 %$4 & 1 з 8. A J F.
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.
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