Answer:4
Step-by-step explanation: Because 4 goes in 3/4 better and more eqvilent to that answer.
Answer:
32.33% probability of having at least 3 erros in an hour.
Step-by-step explanation:
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 time interval.
The mean number of errors is 2 per hour.
This means that 
(a) What is the probability of having at least 3 errors in an hour?
Either you have 2 or less errors in an hour, or we have at least 3 errors. The sum of the probabilities of these events is decimal 1. So

We want 
So

In which







32.33% probability of having at least 3 erros in an hour.
Remember your formula is 180(n-2) where n=number of sides. So start out by dividing by 180, then add 2 to get the sides.
Answer:
16 square units
Step-by-step explanation:
The formula for the area of a right triangle is ab/2 (a and b both being legs).
First, we find the legs' length which is MK and JK.
Since both points J and K are on the same y level, we look at the X coordinates and see how far apart they are.
Since both points M and K are on the same x level, we look at the Y coordinate.
M is 4 points away from K, so the leg MK is 4 units long.
J is 8 points away from K, so the leg JK is 8 units long.
Plug this into the formula and we get


Answer:
A.
This assumption is that the distribution of polyunsaturated fat % of each if these four regimes must be with equal variances as well as uniform.
B.
The null hypothesis
H0: μ1 = μ2 = μ3 = μ4
The alternate hypothesis:
H1: at least 2 means are unequal
C.
First we calculate the grand mean
= 1/54[15(42.9)+17(43.1)+8(43.7)+14(43.9)]
= (643.5 +732.7 + 349.6 + 614.6)/54
= 2340.4/54
= 43.341
Sum of squared treatment
= [15(42.9-43.341)²+17(43.1-43.341)²+8(43.7-43.341)²+14(43.9-43.341)²]
= 9.3104
Mean square of treatment
= SST/I-1
= 9.3104/4-1
= 9.3104/3
= 3.1035
Error sum of squared
= (15-1)*(1.3)² + (17-1)*(1.5)² + (8-1)*(1.2)² + (14-1)*(1.2)²
= 88.46
Error mean square
MSE = 88.46/54-4
= 1.7692
Test statistic
= 3.1035/1.7692
= 1.75