Answer: 12:55 is the answer
Step-by-step explanation:
dont delete this brainly
Answer:
0.1393 = 13.93% probability that an order of 50 units will have one or more faulty units.
Step-by-step explanation:
Mean for a number of units, which means that the Poisson distribution is used to solve this question.
Poisson Distribution:
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:
In which
x is the number of sucesses
e = 2.71828 is the Euler number
is the mean in the given interval.
Mean:
3 defective for 1000, how many for 50?
3 - 1000
- 50
Applying cross multiplication:
What is the probability that an order of 50 units will have one or more faulty units?
This is:
In which
0.1393 = 13.93% probability that an order of 50 units will have one or more faulty units.
Where is the question I wanna help u PLZ
Answer:
a) 0.194
b) $440.8
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = $9.40
Standard Deviation, σ = $4.40
Formula:
Standard error due to sampling =
a) P(tips from 40 parties > $400)
Thus, the average pay is
P(x > 10)
Calculation the value from standard normal z table, we have,
b) We have to find the value of x such that the probability is 0.01
Calculation the value from standard normal z table, we have,
Thus, the mean tip is $11.02
Tip for 40 parties =
Thus, he earns $440.8 on the best 1% of such weekends.
4/5. hopefully this helps