3. The completion of a construction job may be delayed because of a strike. The probabilities are 0.60 that there will be a stri
1 answer:
Answer:
0.55 = 55% probability that the construction job will be completed on time
Step-by-step explanation:
We have these following probabilities:
0.6 probability there is a strike. In this case, 0.35 probability that the construction will be completed on time.
1 - 0.6 = 0.4 probability that is not a strike. In this case, 0.85 probability that the construction will be completed on time.
What is the probability that the construction job will be completed on time?
0.55 = 55% probability that the construction job will be completed on time
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Answer: The answer is 50%.
Step-by-step explanation: Given that the factory produces 126 articles in a day. After retooling, the production of the articles increased and they started producing 189 articles in a day. We need to calculate the percent increase in labour productivity.
We have,
Percent Increase in labour productivity will be equal to the percent increase in the number of articles.
Increase in the number of articles after retooling = 189 - 126 = 63.
Therefore, percent increase in the number of articles is given by
Thus, the labour productivity increased by 50%.
Answer:
x=6, 9, 10, 20, 22, 25, 27, 40 , 48, 59
i= 1, 2 , 3, 4, 5, 6, 7, 8, 9, 10
And as we can see here the position for x=40 is 8, so then we can calculate the percentile for 40 grams like this:
So the the vale of 40 gr correspond to the 80th percentile of the data since accumulates 80% of the values below.
Step-by-step explanation:
We can define a percentile as "a value on a scale of 100 that indicates the percent of a distribution that is equal to or below it"
For this case we have the following data given:
6 , 9, 10, 20, 22, 25, 27, 40 , 48, 59
And we want to calculate the percentile for the value of 40 grams
Since the dataset is on increasing way there is no problem to calculate this percentile.
We see that we have a total of n =10 observations, and we can rank the position of each observation (i) like this:
x=6, 9, 10, 20, 22, 25, 27, 40 , 48, 59
i= 1, 2 , 3, 4, 5, 6, 7, 8, 9, 10
And as we can see here the position for x=40 is 8, so then we can calculate the percentile for 40 grams like this:
So the the vale of 40 gr correspond to the 80th percentile of the data since accumulates 80% of the values below.