<span>Y=-2x+1, y=-2/3x+5
X= -3 and Y =7</span>
Answer:
The period of the 
function is 
. Then three times this period is 
.
Step-by-step explanation:
Using Mathematica you can use the command Plot as follows:
```
Plot[Sin[x], {x,0,6Pi}]
```
The output is the graph shown below.
Answer: 0.99822
Step-by-step explanation:
Our inter-arrival time follows Poisson distribution with parameter 14 which is in hour so first we have to calculate this in minutes as we have to calculate probability in minutes.
So converting 14 into minutes will give 
=0.233
Let X=inter-arrival time between two customers
and here 
= 0.233
Probability(X is less than or equal to 2 minutes) = P(X=0) + P(X=1) + P(X=2)
Now the Poisson distribution has PDF = 
So P(X = 0) = 
= 0.79215
P(X= 1) = 
= 0.18457
P(X=2) = 
= 0.02150
Now adding all three probability gives = 0.79215 +0.18457 + 0.02150=0.99822
Answer:
The probability of getting a factor of 12 on a fair dice is 5/6 or approximately 83%.
Step-by-step explanation:
Probability is expressed as a fraction where the denominator is the total number of outcomes and the numerator is the number of desired outcomes. In this case, the desired outcome is any factor of 12. The factors of 12 are the numbers we multiply together to get that number: 1, 2, 3, 4, 6 and 12. Since a fair dice has the total outcomes of either 1, 2, 3, 4, 5 or 6, then the total outcomes is 6 and the possibility that we could roll the desired outcome (factor of 12) is 5, the probability is 5 out of 6 or 5/6, which when divided is approximately 83%.
Answer:
12 Hershey bars
Step-by-step explanation:
if its 10 to 8 and you have 15 m&m then you would have to do the 10 which you would have to put 8 then 5 is half of 10 so you would just half 8 which is 4 so 8+4+12. 12 Hershey bars needed to restock the shelf.
