Multiply
1/4 x -2=
Answer:
-0.5
Step-by-step explanation:
Answer:
−8x+1 / 4x
Step-by-step explanation:
Answer:
Step-by-step explanation:
Answer:
Step-by-step explanation:
Given : A random sample of 10 subjects have weights with a standard deviation of 11.9407 kg
i.e.
Since we know that the value of variance is the square of standard deviation.
i.e.
Therefore, to find the value of variance, we need to find the square of the given standard deviation.
i.e.
Thus, the variance of their weights =
B) What is the probability that a component works perfectly well (i.e., neither displays strain nor fails the test)?
C) What is the probability that the component either fails or shows strain in the test?
Answer: a. 0.61
b. 0.37
c. 0.63
Step-by-step explanation:
From the question,
P(A) = 0.39 and P(B) = 0.24
P(success) + P( failure) = 1
A) What is the probability that the component does not fail the test?
Since A is the event that the component fails a particular test, the probability that the component does not fail the test will be P(success). This will be:
= 1 - P(A)
= 1 - 0.39
= 0.61
B) What is the probability that a component works perfectly well (i.e., neither displays strain nor fails the test)?
This will be the probability that the component does not fail the test minus the event that the component displays strain but does not actually fail. This will be:
= [1 - P(A)] - P(B)
= 0.61 - 0.24
= 0.37
C) What is the probability that the component either fails or shows strain in the test?
This will simply be:
= 1 - P(probability that a component works perfectly well)
= 1 - 0.37
= 0.63
The given equation of ellipse is,
Thus, the major axis length can be determined as,
Thus, option (e) is correct.
y^3 - 5y^2 - 17y + 21
HINT: one of the factors is (y-1)
Answer:
Answer:
7,300 meters
Step-by-step explanation:
7.3×1000 = 7300
Step-by-step explanation:
Answer:
The sample size 'n' = 576
576 times should you execute the process to get the desired precision
Step-by-step explanation:
Explanation :-
Step(i)
Given data the process can turn 60% of the input compounds into the desired synthesized compound.
Sample proportion ' p' = 60% = 0.60
Given data the estimate within 0.04 of the true proportion that is converted
The margin of error of the true population proportion
M.E = 0.04
Step(ii)
The margin of error of the true population proportion is determined by
on calculation, we get
squaring on both sides ,we get
n = 576
Final answer:-
The sample size 'n' = 576
576 times should you execute the process to get the desired precision