Specifications for a part for a DVD player state that the pa
Specifications for a part for a DVD player state that the part should weigh between 24.3 and 25.3 ounces. The process that produces the parts has a mean of 24.8 ounces and a standard deviation of .23 ounce. The distribution of output is normal.
a. What percentage of parts will not meet the weight specs? (Round your \"z\" value and final answer to 2 decimal places. Omit the \"%\" sign in your response.) Percentage of parts %
b. Within what values will 99.74 percent of sample means of this process fall, if samples of n = 6 are taken and the process is in control (random)?
Solution
It is a problem of Normal Distribution.
As per the formula, Z Score = (x - M)/ Standard deviation
here, X = Actual value
M = Mean Value
As pe the given value, X1 =24.7 X2 =25.7 and M = 25.2
so Z1 = (x1-M)/.2 = (24.7 - 25.2)/.2 = -2.5
Z2= (x2-M)/.2 = ( 25.7 - 25.2)/.2 = +2.5
As per the given table of Z scores, 2.5 means area of .4938
since Z value ranges from -2.5 to 2.5 it means that it will cover total area of 2*.4938 = .9876
It means that Products who will not meet specifications = 1-.9876 = .012
so % of products not meetings specifications =1.20
2.
To get 99.74% result
Area in each side = .9974/2 = .4987
to get the area of eachsside as .4987 ( from the given table), Z value should range from -3 to + 3
For z1= -3 = (x1-M)/.2 with M=25.2
after solving above, X1 = 24.6
For z2= +3 = (x2-M)/.2 with M=25.2
after solving above, X2 = 25.8
so lower value=24.6
Higher value= 25.8
