The number of companies is quite large. That is, n is quite large. The probability that a company declares bankruptcy is quite small , p is quite small. np = the mean number of bankruptcies = 2 = a finite number. Hence we can apply Poisson distribution for the data. P (x=5 | mean =2) = e-2 25/5! = e-2 * 32/120 = 0.036089 Alternatively =poisson(5,2,0) = 0.036089 P(x≥ 5 | mean =2) = 1- P( x ≤ 4) = 1- e-2 (1+2+22/2!+23/3!+24/4!)= 1-e-2 (1+2+2+8/6+16/24)= 1-e-2(7) =0.052653 Alternatively = 1- poisson(4,2,1) =0.052653 P(X > 5 | mean =2) = 1- p(x ≤ 5) =1- e-2 (1+2+22/2!+23/3!+24/4!+25/5!)= 1-e-2(7+4/15) =0.016564 alternatively=1-poisson(5,2,1) =0.016564
First you must convert the weight from pounds to kg. 50 pounds is 22.7kg. You divide 50 by 2.2 to get that. Then you woukd divide what was ordered by what you have on hand 1.5÷75x ml. It would equal 0.02.
