Answer: 0.51
Step-by-step explanation:
This is a conditional probability. The first event is the airplane accident being caused by structural failure. The probability of it being due to structural failure is 0.3 and the probability of it not being due to structural failure is 0.7. The second event involves the diagnosis of the event. If a plane fails due to structural failure, the probability that it will be diagnosed and the results will say it was due to structural failure is 0.85, and the probability that the diagnosis is unable to identify that it was because of a structural failure is 0.15. If the plane were to fail as a result of some other reason aside structural failure, the probability that the diagnosis will show that it was as a result of structural failure is 0.35 and the probability of the diagnosis showing that is is not as a result of structural failure is 0.65. To find the probability that an airplane failed due to structural failure given that it was diagnosed that it failed due to some malfunction, this is the equation;
p = (probability of plane failing and diagnosis reporting that the failure was due to structural failure)/ (probability of diagnosis reporting that failure was due to structural failure)
p = (0.3*0.85)/((0.3*0.85) + (0.7*0.35))
p = 0.51
Answer:
y = 3/4x - 8/3
Step-by-step explanation:
y = 3/4x + b
1/3 = 3/4(4) + b
1/3 = 3 + b
-8/3 = b
y = 3/4x - 8/3
So Roger flight left at exactly 9.27:am and it will land at 1:05pm
So count on to 12:27 will be 3 hours and subtract from 5 because 65 is 05 3hours and 38mins
Answer:
0 2
1 4 ⟌ 3 7
- 0
3 7
- 2 8
9
2 r 9
for 37 divided by 14
0 7
1 3 ⟌ 9 6
- 0
9 6
- 9 1
5
7 r 5
for 96 divided by 13
0 2 0
4 1 ⟌ 8 5 8
- 0
8 5
- 8 2
3 8
- 0
3 8
for 858 divided by 41
20 r 38
Step-by-step explanation:
Answer:
The most appropriate statistical test to use to compare the mood scores from the different groups is independent sample t-test.
Step-by-step explanation:
The Independent Samples t-test examines the means of two independent groups to see if statistical evidence exists to show that the related population means differ significantly.
The Independent Samples t-test is also known as Independent t-test, Independent Two-sample t-test, and among others.
It should be note that only two (and only two) groups can be compared using the Independent Samples t-test. It is not possible to use it to make comparisons between more than two groups.
Therefore, the most appropriate statistical test to use to compare the mood scores from the different groups is independent sample t-test.
