Table of Contents
Introduction to statistics
Domino’s pizza use statistics to determine what they can sell
One question was could they sell deep dish pizza
They polled to determine that 45% preferred thick crust
Then professional sampled various recipes
And rated them in various categories
The various test pizza are baked and given to be tasted and rated
The rating are made under appropriate conditions
Polling is a constant process to determine their effectiveness
Lightening, a random act of nature
Technology can can determine where and when it strikes
The data on large number (a million) of strikes was collect
A histogram indicating the time of the first flash was created
The number of days it flashed at a given time was recorded
The distribution of flashed has a maximum around then a sharp decrease in a symmetric manner
This distribution with its fast fall off is close to normal distributions
The distribution for the time of the maximum number of flashes is also close to normal
There are outliers, days where the maximum number occurs at night
The mountainous region is deemed responsible for this pattern
The data for 1970 draft looks this, random right
The ball were placed in a container and drawn randomly
Well, if a monthly average is done, there is a down ward trend
Which is more obvious here. The officers were reassign
Statistician were called in and the numbers thoroughly mixed
The 1971 draft has variations, but does not have a trend
Another method of analysis
The problem is to determine the smallest sum of residue squared
By moving the line(change a & b)
To obtain the best fit
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Author: James M. Grow
Email: Grow@adm.njit.edu
Home Page: http://www-ec.njit.edu/~grow/statisti.htm
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