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2 years ago

Does (lnk)/(k^3), where as k starts at one and continues on to infinity, converge? ...?

1 answer:

max2010maxim [7]2 years ago

7 0

Yes. The numerator does not increase as fast as the denominator increases, causing the function's value to decrease with every subsequent increase in the value of k. This causes the function to converge at a point.

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Which point is an x-intercept of the quadratic equation (x-8)(x+9)

defon

Solve for x in each set of parentheses by setting them to 0:

X -8 = 0

X = 8

X+9 = 0

X =-9

You have two x intercepts (8,0) and (-9,0)

You didn’t list any choices to pick from but it would be either if the ones above.

5 0

2 years ago

Read 2 more answers

78,78,83,85,89,91,95,98 what is the median

cluponka [151]

Answer:

Step-by-step explanation:

Because in that set of data 85 and 89 are in the middle so you have to find the number between 85 and 89 and it is 87

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3 years ago

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Write two numbers that multiply to the value on top and add to the value on bottom.

9966 [12]

The numbers are 3 and -30 They multiply and give -90 And add to give-27

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2 years ago

there has to be at least one operating path. Once a component fails on a path, that path is no longer operating. The reliability

Eva8 [605]

Answer:

$R = P(R_1) P(R_2|R_1) P(R_3|R_2)*....*P(R_n |R_1,..., R_{n-1}$

For this case the reliability of the sytem would be given by:

$R= \prod_{i=1}^n R_i$

R1= 0.95, R2 =0.95, R3= 0.5, R4 = 0.79 , R5 = 0.6

And replacing we got:

$R = 0.95*0.95*0.5*0.79*0.6= 0.21389$

Step-by-step explanation:

We can assume that the system work in series

If we have in general n units the reliability of the system is the probability that unit 1 succeeds and unit 2 succeeds and all of the other units in the system succeed. fror n units must succeed for the system to succeed. The reliability of the system is then given by:

$R = P(R_1) P(R_2|R_1) P(R_3|R_2)*....*P(R_n |R_1,..., R_{n-1}$

For this case the reliability of the sytem would be given by:

$R= \prod_{i=1}^n R_i$

R1= 0.95, R2 =0.95, R3= 0.5, R4 = 0.79 , R5 = 0.6

And replacing we got:

$R = 0.95*0.95*0.5*0.79*0.6= 0.21389$

8 0

3 years ago

The probability that will rain tomorrow 0.85. what is the probability that will not rain tomorrow?

Maslowich

Answer:

probability that will not rain tomorrow

P(nR) = 1-0.85

= 0.15

is the answer

3 0

3 years ago