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Arturiano [62]
4 years ago
10

Do I have to subtract or what? Please help.

Mathematics
1 answer:
KatRina [158]4 years ago
5 0
The maximum drop of Colossus is 185ft less than the maximum drop of Millennium Force.
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The answer is 0
I took the test and got it right i hope this helps someone
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4 years ago
Read 2 more answers
Which one should I choose.
Mice21 [21]

Answer: 9

54 ÷ 2

27

3x = 27

x = 9

7 0
3 years ago
Ten samples of a process measuring the number of returns per 100 receipts were taken for a local retail store. The number of ret
Tatiana [17]

Answer:

0.0273

Step-by-step explanation:

np  n

10  100

9    100

11   100

7    100

3   100

12  100

8   100

4    100

6    100

11   100

pbar=sumnp/sumn

pbar=10+9+11+7+3+12+8+4+6+11/10+10+10+10+10+10+10+10+10+10

pbar=81/1000

pbar=0.081

nbar=sumn/k=1000/10=100

Standard deviation for pbar chart=\sqrt{\frac{pbar(1-pbar)}{nbar} }

Standard deviation for pbar chart=\sqrt{\frac{0.081(0.919)}{100} }

Standard deviation for pbar chart=\sqrt{\frac{0.0744}{100} }

Standard deviation for pbar chart=\sqrt{0.0007444 }

Standard deviation for p-chart=0.0273

3 0
3 years ago
PLEASE HELP ME!!!!! THIS IS TIMED PLEASE HELP!!
antiseptic1488 [7]

Answer:

20 I think I hope it is correct

8 0
3 years ago
Read 2 more answers
A worker at a landscape design center uses a machine to fill bags with potting soil. Assume that the quantity put in each bag fo
defon

Answer:

a) The expected value is given by:

E(X) =\frac{a+b}{2}= \frac{10+12}{2}= 11

The variance is given by:

Var(X) = \frac{(b-a)^2}{12}= \frac{(12-10)^2}{12}= 0.3333

And the standard deviation is just the square root of the variance and we got:

Sd(x) = \sqrt{0.3333}= 0.5774

b) P(X

And we can use the cumulative distribution function given by:

F(x) = \frac{x-a}{b-a}, a \leq x \leq b

And using this function we got:

P(X

c) P(X>10.5)

And using the complement rule and the cumulative distribution function we got:

P(X>10.5)= 1-P(X

Step-by-step explanation:

For this case we define the random variable X=quantity put in each bag , and we know that the distribution for X is given by:

X \sim Unif (a= 10, b =12)

Part a

The expected value is given by:

E(X) =\frac{a+b}{2}= \frac{10+12}{2}= 11

The variance is given by:

Var(X) = \frac{(b-a)^2}{12}= \frac{(12-10)^2}{12}= 0.3333

And the standard deviation is just the square root of the variance and we got:

Sd(x) = \sqrt{0.3333}= 0.5774

Part b

For this case we want this probability:

P(X

And we can use the cumulative distribution function given by:

F(x) = \frac{x-a}{b-a}, a \leq x \leq b

And using this function we got:

P(X

Part c

For this case we want this probability:

P(X>10.5)

And using the complement rule and the cumulative distribution function we got:

P(X>10.5)= 1-P(X

3 0
4 years ago
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