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Sav [38]
3 years ago
15

A. 231 B. 39 C. 129 D. 51

Mathematics
1 answer:
VladimirAG [237]3 years ago
3 0

Answer:

the answer is

129

Step-by-step explanation:

cyclic

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I WILL GIVE BRAINLIEST ONLY IF YOU ANSWER WELL
Ivan

Answer:

I dont know im in middle school can you please giva me one i have to get my grades up

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
The delivery person weighs 150lb and each box of books weigh 40lb the maximum capacity of the elevator is 1020lb how many box of
padilas [110]

Answer:

21 box of books can be brought up by the delivery person at one time

Step-by-step explanation:

Here, we want to know the number of box of books that the delivery person could bring up at one time.

Let the number of boxes be x , so the total mass of the boxes that could come up at a time will be x * 40 = 40x lb

Let’s add this to the mass of the delivery person = 150 lb

So the total mass going inside the lift would be 150 + 40x

So we have to equate this to the maximum capacity of the lift;

150 + 40x = 1020

40x = 1020 - 150

40x = 870

x = 870/40

x = 21.75

Now since we cannot have fractional boxes, the number of boxes that could come into the lift without exceeding the maximum capacity of the lift is 21

5 0
3 years ago
9% of what equals 4.5
Nutka1998 [239]
<span>4.5 : 9% = 4.5 / (9 : 100) = (100 * 4.5) / 9 = 50</span>
6 0
3 years ago
Read 2 more answers
Calibrating a scale:
lana66690 [7]

Answer:

We conclude that the calibration point is set too high.

Step-by-step explanation:

We are given the following in the question:

Population mean, μ =  1000 grams

Sample mean, \bar{x} =  1001.1 grams

Sample size, n = 50

Alpha, α = 0.05

Population standard deviation, σ = 2.8 grams

First, we design the null and the alternate hypothesis

H_{0}: \mu = 1000\text{ grams}\\H_A: \mu > 1000\text{ grams}

We use One-tailed(right) z test to perform this hypothesis.

Formula:

z_{stat} = \displaystyle\frac{\bar{x} - \mu}{\frac{\sigma}{\sqrt{n}} }

Putting all the values, we have

z_{stat} = \displaystyle\frac{ 1001.1 - 1000}{\frac{2.8}{\sqrt{50}} } = 2.778

Now, z_{critical} \text{ at 0.01 level of significance } = 2.326

Since,  

z_{stat} > z_{critical}

We reject the null hypothesis and accept the alternate hypothesis. We accept the alternate hypothesis. We conclude that the calibration point is set too high.

6 0
3 years ago
If [infinity] cn8n n = 0 is convergent, can we conclude that each of the following series is convergent? (a) [infinity] cn(−3)n
pashok25 [27]

Answer:

a) we know that this is convergent.

b) we know that this might not converge.

Step-by-step explanation:

Given the \sum^\infty_{n=0}C_n8^n is convergent

Therefore,

(a)  \sum^\infty_{n=0}C_n(-3)^n The power series \sum C_nx^n has radius of convergence at least as big as 8. So we definitely know it converges for all x satisfying -8<x≤8. In particular for x = -3

∴ \sum^\infty_{n=0}C_n(-3)^n  is convergent.

(b) \sum^\infty_{n=0}C_n(-8)^n -8 could be right on the edge of the interval of convergence, and so might not converge

8 0
3 years ago
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