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ANTONII [103]
3 years ago
11

A manager states that his process is really working well. Out of the 300,000 parts produced last week, inspections identified 15

defects. Each part has 5 Critical-To-Quality attributes (defect opportunities) that are tested for. How many Defects per million opportunities (DPMO) did this process have?
Business
1 answer:
natali 33 [55]3 years ago
5 0

Answer:

the  Defects per million opportunities (DPMO) is 5,000,000 defects per million opportunities

Explanation:

The computation of the Defects per million opportunities (DPMO) is shown below:

= Defects ÷ total parts × one million

= (5 × 300,000) ÷ (300,000) × 1,000,000

= 5,000,000 defects per million opportunities

Hence, the  Defects per million opportunities (DPMO) is 5,000,000 defects per million opportunities

We simply applied the above formula so that the correct value could come

And, the same is to be considered

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C. works show the buildings

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In 2000, Michael purchased land for $100,000. Over the years, economic conditions deteriorated, and the value of the land declin
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2 years ago
At a price of $5, Sam buys 10 units of a product; when the price increases to $6, Sam buys 8 units. Martha says Sam's demand has
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Based on the information given, Martha is incorrect. Sam's quantity demand has decreased.

<h3>What is demand?</h3>

Demand means the quantity of a good and services that consumers are willing and able to buy at various prices during a given period of time

In this case, Martha is incorrect. This is because Sam's quantity demanded has decreased, and his demand has not changed.

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brainly.com/question/1245771

5 0
2 years ago
The following data represent quantities of tea leaf pluckings (tender shoots from tea plants) from sixteen different plots of te
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Answer:

Explanation:

1)H_0 : All group means equal or \mu _1=\mu _2=\mu _3=\mu _4

H_1:\mu 1=\mu 2=\mu 3\neq \mu 4

At least one of the treatment group means are different

ANOVA TABLE      

<u>Source of Variation    SS         df      MS            F          P-value        F crit </u>

Between Groups       213.5      3    71.16667   0.65 0.5975     3.490295

Within Groups          1312.5      12   109.375  

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MSE = SSE / DFE = 109.375

F = MSB / MSE = 0.650667

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The test statistic is not significant and failed to reject the null hypothesis.

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3 years ago
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Based on the information given in the question, the best way to phrase the refusal of Marie's claim for adjustment is that "As stated in our contract, we are liable to pay compensation only when our personnel repair the equipment".

Since a service executive in the company discovers that the mower was dismantled by someone, then Marie's claim for adjustment can be refused since it wasn't dismantled by someone from the company.

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