From past, a company knows that in cartons of bulbs, 90% contain no defective bulbs, 5% contain one defective bulb, 3% contain two defective bulbs, and 2% contain three defective
bulbs. Find the mean and standard deviation for the number of defective bulbs.

The mean is M=0.17 defective bulbs.

The standard deviation is s=0.165 defective bulbs.

Step-by-step explanation:

We can calculate the mean as the sum of the product between the number of defective bulbs and its proportion:

The standard deviation can be calculated  as the sum of the product between the deviation from the mean for each number of defective bulbs and its proportion:

solution:

→c= a b , that is product of a and b is possible only when when a is m × n matrix and b is n × p matrix.

that is, number of columns of a= number of rows of b.

so, size of matrix , c= a b is , if a = (m × n)matrix

b= (n × p)matrix

then a b = [ (m × n)matrix] ×[   (n × p)matrix ]

→→c= a b= [m × p ] matrix

→→size of product a b will be equal to = number of rows of a × number of columns of b

his chances of getting a coin of higher value is 4/19

step-by-step explanation: