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STT 102, TMA 2  9/10

When the distribution is not symmetrical, ___________is revealed
Skewness 

The variance of a distribution is the ____________ of the standard deviation of the distribution
Square 

The ________ deviation is computed by taking the sum of the absolute value of the deviations of the values in the distribution from the mean of the distribution and dividing the sum by number of value in the distribution
Mean

When we are interested in the peakness of a distribution, we are measuring the_____________of the distribution
Kurtosis 

The ______________ is the most preferable when the data have the possibility of extreme values.
Median

There are ------------- types of questionnaire
four

The direction of the skew depends on the relationship of the peak of the distribution to the centre(mean) of the ------------------------
Histogram 

For negative skew, the peak lies to the ________________of the centre of the distribution
Right 

A symmetry distribution has a peak at the ______________ of the distribution with the slopes on the either side of the peak virtually equal to each other
Middle 

Equally likely events are those events in which there is no reason to expect -----------event rather than the others to occur
one