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We can plot this data on MS Excel and determine the distribution of these data reflected on the graph. Among these numbers, 50 is the outlier since it is very far from the other numbers ranging from 76 to 83. We can perform interquartile range to determine or verify the outliers in the data set. In this respect, we can see that there is not much distribution seen. The average of all data sets is equal to 96.25. When the outlier (50) is removed, we expect the mean to become higher since a low number was ommitted including high numbers only. Outliers are obtained from special causations such as human errors.
Initial number of Bacteria = Ao = 100
Number of Bacteria which make the person ill = A = 45,000,000
Growth rate = r = 150% = 1.50
The equation model for this situation is:
Using the values in above equation, we can write:
This means, the person will fall sick after about 14 hours.
Number of Bacteria which make the person ill = A = 45,000,000
Growth rate = r = 150% = 1.50
The equation model for this situation is:
Using the values in above equation, we can write:
This means, the person will fall sick after about 14 hours.