Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. assume
a production process produces items with a mean weight of 14 ounces.
a. the process standard deviation is 0.10 ounces, and the process control is set at plus or minus 1.75 standard deviations. units with weights less
than 13.825 or greater than 14.175 ounces will be classified as defects. what is the probability of a defect (to 4 decimals)?
in a production run of 1000 parts, how many defects would be found (round to the nearest whole number)?

a) 0.0801

b) 80

Step-by-step explanation:

The z-score for 13.825 is

The probability of producing a unit with weight less than 13.825 is

( Standard normal distribution table)

The z-score for 14.175 is

The probability of producing a unit with weight greater than 14.175 is

The probability of defect is

In a production run of 1000 parts, the expected number of defects is

To the nearest whole number 80 defects will be found

europa2433

europa2433

step-by-step explanation:

x + y = 90 5x – 10y = 90 90 – 10y = 5x 90 + 10y = 5x

step-by-step explanation:

last month maria hiked the 5-mile mountain trail a number of times and she hiked the 10-mile canal trail several times. let x represent the number of times she hiked the 5-mile trail, and let y represent the number of times she hiked the 10-mile trail. if she hiked a total of 90 miles, which equation can be used to find the number of times maria hiked each trail? x + y = 90 5x – 10y = 90 90 – 10y = 5x 90 + 10y = 5x