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N76 [4]
3 years ago
15

I need help fast will give brainless

Mathematics
2 answers:
Kay [80]3 years ago
8 0

Answer:

n=3

Step-by-step explanation:

Operation used is division

melamori03 [73]3 years ago
3 0

Answer: 3

to get this you take 10.5 and divide by 3.5 which equals 3

check your answer: 3.5 x 3 = 10.5

the value of n is 3

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W−6 =−4w−11 <br> what is w?
ziro4ka [17]

Answer:

w=-1

Step-by-step explanation:

w-6=-4w-11

5w=-5

w=-1

7 0
3 years ago
Read 2 more answers
Prime Factorization
maks197457 [2]
What's your question
8 0
3 years ago
Would the product change if 50 + 2 on the top of the area model was changed to 20 + 30 + 2? Explain
ollegr [7]

Answer:

It would not change

Step-by-step explanation:

Because if you add you get the same thing

4 0
3 years ago
For the given hypothesis test, determine the probability of a Type II error or the power, as specified. A hypothesis test is to
erica [24]

Answer:

the probability of a Type II error if in fact the mean waiting time u, is 9.8 minutes is 0.1251

Option A) is the correct answer.

Step-by-step explanation:

Given the data in the question;

we know that a type 11 error occur when a null hypothesis is false and we fail to reject it.

as in it in the question;

obtained mean is 9.8 which is obviously not equal to 8.3

But still we fail to reject the null hypothesis says mean is 8.3

Hence we have to find the probability of type 11 error

given that; it is right tailed and o.5, it corresponds to 1.645

so

z is equal to 1.645

z = (x-μ)/\frac{S}{\sqrt{n} }

where our standard deviation s = 3.8

sample size n = 50

mean μ = 8.3

we substitute

1.645 = (x - 8.3)/\frac{3.8}{\sqrt{50} }

1.645 = (x - 8.3) / 0.5374

0.884023 = x - 8.3

x = 0.884023 + 8.3

x = 9.18402

so, by general rule we will fail to reject the null hypothesis when we will get the z value less than 1.645

As we reject the null hypothesis for right tailed test when the obtained test statistics is greater than the critical value

so, we will fail to reject the null hypothesis as long as we get the sample mean less than 9.18402

Now, for mean 9.8 and standard deviation 3.8 and sample size 50

Z =  (9.18402 - 9.8)/\frac{3.8}{\sqrt{50} }

Z = -0.61598 / 0.5374

Z = - 1.1462 ≈ - 1.15

from the z-score table;

P(z<-1.15) = 0.1251

Therefore, the probability of a Type II error if in fact the mean waiting time u, is 9.8 minutes is 0.1251

Option A) is the correct answer.

8 0
2 years ago
What is the value of the 8 in the number 8,644.58
Masja [62]
It is in the thousands place. 
8 0
3 years ago
Read 2 more answers
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