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Lady bird [3.3K]
2 years ago
9

Which of the following is the simplified form of the expression 12z-4y+16z-8y

Mathematics
1 answer:
garik1379 [7]2 years ago
4 0

Answer:

28z-12y

Step-by-step explanation:

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At the movie theatre, child admission is $6.30 and adult admission is $9.60 . On saturday, twice as many adult tickets as child
joja [24]

Let's assume

number of child tickets sold on saturday is x

number of adult tickets sold on saturday is y

On saturday, twice as many adult tickets as child tickets were sold

so, we get

y=2x

child admission is $6.30 and adult admission is $9.60

a total sales of $535.50

we get

6.30x+9.60y=535.50

now, we can plug y=2x

6.30x+9.60*2x=535.50

now, we can solve for x

25.5x=535.5

x=21

now, we can find y

y=2*21

y=42

so,

number of child tickets sold on saturday is 21

number of adult tickets sold on saturday is 42.........Answer


4 0
3 years ago
Andrew plans to retire in 32 years. He plans to invest part of his retirement funds in stocks, so he seeks out information on pa
Debora [2.8K]

Answer:

a) 0.0885 = 8.85% probability that the mean annual return on common stocks over the next 40 years will exceed 13%.

b) 0.4129 = 41.29% probability that the mean return will be less than 8%

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean 8.7% and standard deviation 20.2%.

This means that \mu = 8.7, \sigma = 20.2

40 years:

This means that n = 40, s = \frac{20.2}{\sqrt{40}}

(a) What is the probability (assuming that the past pattern of variation continues) that the mean annual return on common stocks over the next 40 years will exceed 13%?

This is 1 subtracted by the pvalue of Z when X = 13. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{13 - 8.7}{\frac{20.2}{\sqrt{40}}}

Z = 1.35

Z = 1.35 has a pvalue of 0.9115

1 - 0.9115 = 0.0885

0.0885 = 8.85% probability that the mean annual return on common stocks over the next 40 years will exceed 13%.

(b) What is the probability that the mean return will be less than 8%?

This is the pvalue of Z when X = 8. So

Z = \frac{X - \mu}{s}

Z = \frac{8 - 8.7}{\frac{20.2}{\sqrt{40}}}

Z = -0.22

Z = -0.22 has a pvalue of 0.4129

0.4129 = 41.29% probability that the mean return will be less than 8%

8 0
2 years ago
Meryl needs to cut down 10.5 trees for every 5 cabins she builds.
Zepler [3.9K]

Answer:

for seven cabins it should be 14.7 trees, im not sure about 3 cabins, sorry :(

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3 years ago
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Convert 4 3/4 to 4 6/8 to match the fraction of 5/8 that she ate. 4 6/8 - 5/8 = 4 1/8. Susie has 4 1/8 lbs of cherries left.
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True or false is Every integer a positive number
STatiana [176]
<span>integers are numbers that we get from adding and subtracting the number 1. Zero also belongs to integers .

</span><span>example

3 = 1+ 1 + 1
3 = 1 + 1 + 1 +1 - 1
0 = 1 + 1 - 1 - 1
- 4 = -1 - 1 - 1 -1
- 4 = 1 - 1 -1 - 1 - 1

</span><span>In this way you can get infinitely large number of total positive , negative and zero</span>
4 0
3 years ago
Read 2 more answers
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