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gizmo_the_mogwai [7]
3 years ago
8

8/3 + 3/4 = bihbjblj

Mathematics
1 answer:
levacccp [35]3 years ago
8 0
The answer is three and five twelfths

3 5/12
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−3.6−1.9t+1.2+5.1t<br> Geometry 10th grade
zepelin [54]

Answer: Combine -2.4 + 3.4t

Step-by-step explanation:

First, rearrange the expression to group like terms:

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Now, combine the like terms:

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6 0
3 years ago
Hot dogs are in packs of 8. buns are in packs of 12. how many packs of each are needed? show in an equation
kiruha [24]
8 × 3 = 24
12 × 2 = 24
3 0
3 years ago
Can someone please help . Thank you !! :)
antoniya [11.8K]

Answer:

1000 years

Step-by-step explanation:

1x10^11 is basically 100 billion

1x10^8 is basically 100 million

so 100 billion divided by 100 milllion is basically 1000

so 1000 years

3 0
3 years ago
Please select the best answer from the choices provided.
Dominik [7]

the answer is C. 60 degrees. The problem says that all three angles equal each other. Since all three angles in a triangle always equals 180 degrees. divide 180 by 3 and you get your answer.

3 0
3 years ago
Read 2 more answers
The amount of water in a bottle is approximately normally distributed with a mean of 2.55 liters with a standard deviation of 0.
Natalka [10]

Answer:

a) P(X

b) P(\bar X

c) P(\bar X

d) For part a we are just finding the probability that an individual bottle would have a value of 2.52 liters or less. So we can't compare the result of part a with the results for parts b and c.

If we see part b and c are similar but the difference it's on the sample size for part b we just have a sample size 4 and for part c we have a sample size of 25. The differences are because we have a higher standard error for part b compared to part c.

Step-by-step explanation:

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  The letter \phi(b) is used to denote the cumulative area for a b quantile on the normal standard distribution, or in other words: \phi(b)=P(z

Let X the random variable that represent the amount of water in a bottle of a population, and for this case we know the distribution for X is given by:

X \sim N(2.55,0.035)

a. What is the probability that an individual bottle contains less than 2.52 liters?

We are interested on this probability

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X

And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.  

P(X

b. If a sample of 4 bottles is selected, what is the probability that the sample mean amount contained is less than 2.52 liters? (Round to three decimal places as noeded)

And let \bar X represent the sample mean, the distribution for the sample mean is given by:

\bar X \sim N(\mu,\frac{\sigma}{\sqrt{n}})

On this case  \bar X \sim N(2.55,\frac{0.035}{\sqrt{4}})

The z score on this case is given by this formula:

z=\frac{\bar x-\mu}{\frac{\sigma}{\sqrt{n}}}

And if we replace the values that we have we got:

z=\frac{2.52-2.55}{\frac{0.035}{\sqrt{4}}}=-1.714

For this case we can use a table or excel to find the probability required:

P(\bar X

c. If a sample of 25 bottles is selected, what is the probability that the sample mean amount contained is less than 2.52 liters? (Round to three decimal places as needed.)

The z score on this case is given by this formula:

z=\frac{\bar x-\mu}{\frac{\sigma}{\sqrt{n}}}

And if we replace the values that we have we got:

z=\frac{2.52-2.55}{\frac{0.035}{\sqrt{25}}}=-4.286

For this case we can use a table or excel to find the probability required:

P(\bar X

d. Explain the difference in the results of (a) and (c)

For part a we are just finding the probability that an individual bottle would have a value of 2.52 liters or less. So we can't compare the result of part a with the results for parts b and c.

If we see part b and c are similar but the difference it's on the sample size for part b we just have a sample size 4 and for part c we have a sample size of 25. The differences are because we have a higher standard error for part b compared to part c.  

3 0
3 years ago
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