Determine whether or not the given procedure results in a binomial distribution. If not, identify which condition is not met. Sp
1 answer:
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Answer:
a) 0.3174 = 31.74% probability of a defect. The number of defects for a 1,000-unit production run is 317.
b) 0.0026 = 0.26% probability of a defect. The expected number of defects for a 1,000-unit production run is 26.
c) Less variation means that the values are closer to the mean, and farther from the limits, which means that more pieces will be within specifications.
Step-by-step explanation:
Normal Probability Distribution:
Problems of normal distributions can be solved using the z-score formula.
In a set with mean and standard deviation
, the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
Assume a production process produces items with a mean weight of 10 ounces.
This means that .
Question a:
Process standard deviation of 0.15 means that
Calculate the probability of a defect.
Less than 9.85 or more than 10.15. Since they are the same distance from the mean, these probabilities is the same, which means that we find 1 and multiply the result by 2.
Probability of less than 9.85.
pvalue of Z when X = 9.85. So
has a pvalue of 0.1587
2*0.1587 = 0.3174
0.3174 = 31.74% probability of a defect.
Calculate the expected number of defects for a 1,000-unit production run.
Multiplication of 1000 by the probability of a defect.
1000*0.3174 = 317.4
Rounding to the nearest integer,
The number of defects for a 1,000-unit production run is 317.
Question b:
Now we have that
Probability of a defect:
Same logic as question a.
has a pvalue of 0.0013
2*0.0013 = 0.0026
0.0026 = 0.26% probability of a defect.
Expected number of defects:
1000*0.0026 = 26
The expected number of defects for a 1,000-unit production run is 26.
(c) What is the advantage of reducing process variation, thereby causing process control limits to be at a greater number of standard deviations from the mean?
Less variation means that the values are closer to the mean, and farther from the limits, which means that more pieces will be within specifications.
Answer:
Volume of the frustum is 76 unit³
Step-by-step explanation:
From the figure attached we have to calculate the volume of the frustum formed by cutting off a square pyramid from the top.
Volume of the frustum =
Since ΔAPO' and ΔAOQ are similar so
O'P = units
Therefore, side MN = 2× O'P = 4 units
Now we put these values in the formula
Volume of the frustum =
=
=
=
= 76 unit³
