The probability that the transistor will last between 12 and 24 weeks is 0.424
X= lifetime of the transistor in weeks E(X)= 24 weeks
O,= 12 weeks
The anticipated value, variance, and distribution of the random variable X were all provided to us. Finding the parameters alpha and beta is necessary before we can discover the solutions to the difficulties.
X~gamma(
)
E(X)=
=
=6 weeks
V(x)=
=24/6= 4
Now we can find the solutions:
The excel formula used to create Figure one is as follows:
=gammadist(X,
,
, False)
P(
)
P(
)
P(
)
P= 0.424
Therefore, probability that the transistor will last between 12 and 24 weeks is 0.424
To learn more about probability click here:
brainly.com/question/11234923
#SPJ4
Option as is correct hope this helped have a nice day
Answer
The initial temperature was T = -7 degrees
Step-by-step explanation:
Let the initial temperature be T.
- The tempature was very cold
Temperarure = T
- Then it doubled
Temperature = 2T
- Then it dropped 10 degrees
Temperature = 2T - 10
- And then it increased by 40 degrees.
Temperature = 2T - 10 + 40 = 2T + 30
The tempature is now 16 degrees
Temperature = 16 degrees
2T + 30 = 16
2T = -14
T = -7 degrees
Hope this Helps!!!
Answer:
3
Step-by-step explanation:
p-(9-(m+q)) =
5-(9-(4+3)) =
5-(9-(7)) =
5-(2) =
3