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saveliy_v [14]
3 years ago
7

Lake Mead contains approximately 28,945,000 acre feet of water and there are about 326,099 gallons in 1 acre-foot. The approxima

te number of gallons of water in lake Mead is 9.4x10^a what is the value of a ?
Mathematics
1 answer:
kherson [118]3 years ago
6 0

Answer:

12

Step-by-step explanation:

Let x be the number of gallons of water in lake Mead.

Given that  there is 326099 gallons in 1 acre-foot, we calculate Mead's gallons as:

1 acrefoot=326099g\\28945000acrefoot=x\\\\x=\frac{28945000acrefoot\times326099g}{1acrefoot}\\\\x=9.4\times 10^{12} \ gallons

We now equate x to 9.4\times10^a;

9.4\times 10^a=9.4\times 10^{12}\\\\a=12

Hence, a=12

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Answer: k=1

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3 years ago
Use standard notation to write this number. 4.045x10^-3
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3 years ago
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Answer:

C

Step-by-step explanation:

Select the number of punctuation error. Immediately even before I could stop the water, another leak occurred, and water gushed onto the, kitchen floor. A. 1 B. 2 C. 3 D. 4

3. There doesn't need to be a comma after 'the'.

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Find the appropriate rejection regions for the large-sample test statistic z in these cases. (Round your answers to two decimal
Usimov [2.4K]

Answer:

a) We have that the significance is given by \alpha =0.01 and we know that we have a right tailed test.

So for this case we need to look in the normal standard dsitribution a critical value that accumulates 1% of the area on the right and 99% of the area on the left. This value can be founded with the following excel code:

"=NORM.INV(1-0.01,0,1)"

And we got for this case z_{crit}=2.33

So then the rejection region would be z>2.33

b) We have that the significance is given by \alpha =0.05, \alpha/2 =0.025 and we know that we have a two tailed test.

So for this case we need to look in the normal standard dsitribution a critical value that accumulates 2.5% of the area on the right and 97.5% of the area on the left. This value can be founded with the following excel code:

"=NORM.INV(1-0.025,0,1)"

And we got for this case z_{crit}=\pm 1.96

So then the rejection region would be z>1.96 \cup z

Step-by-step explanation:

Part a

We have that the significance is given by \alpha =0.01 and we know that we have a right tailed test.

So for this case we need to look in the normal standard dsitribution a critical value that accumulates 1% of the area on the right and 99% of the area on the left. This value can be founded with the following excel code:

"=NORM.INV(1-0.01,0,1)"

And we got for this case z_{crit}=2.33

So then the rejection region would be z>2.33

Part b

We have that the significance is given by \alpha =0.05, \alpha/2 =0.025 and we know that we have a two tailed test.

So for this case we need to look in the normal standard dsitribution a critical value that accumulates 2.5% of the area on the right and 97.5% of the area on the left. This value can be founded with the following excel code:

"=NORM.INV(1-0.025,0,1)"

And we got for this case z_{crit}=\pm 1.96

So then the rejection region would be z>1.96 \cup z

7 0
4 years ago
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