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3 years ago

SomEone PLEASE HELP ME!!!!

Mathematics

1 answer:

Lesechka [4]3 years ago

8 0

We have a law in geometry called ((power of a node)) the formula is:

$fe \times fd = {gf}^{2}$

according to the formula:

9(FD)=12^2 ==> FD=144/9=16

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For problems 12 - 14, Determine whether each sequence appears to be an

marshall27 [118]

Step-by-step explanation:

⇒12)It is an arithmetic sequence.

d=2-1=3-2=4-3=1

a(n) = a +(n-1)d

a(n) = 1+(n-1)1

The next three terms:

a(6) = 1+(6-1)1=6

a(7) = 1+(7-1)1=7

a(8) = 1+(8-1)1=8

⇒13)It is an arithmetic sequence.

d=0-3=-3-0=-6+3=-3

a(n) = a +(n-1)d

a(n) = 3+(n-1)-3

The next three terms:

a(5) = 3+(5-1)-3=-9

a(6) = 3+(6-1)-3=-12

a(7) = 3+(7-1)-3=-15

⇒14)It is not an arithmetic sequence.

⇒15) a(50) = 10 +(50-1)5

=255

I hope this helps

8 0

3 years ago

A bicycle store costs $3300 per month to operate. The store pays an average of $75 per bike. The average selling price of each

Klio2033 [76]

S=Selling price 135
V=Variable cost 75
F=Fixed cost 3300
Let quantity be Q
The formula to break even is
135Q-75Q-3300=0
Solve for Q
60Q-3300=0
60Q=3300
Q=3300/60
Q=50
So the store must sell 50 bicycles to break even

Hope it helps!

6 0

4 years ago

Read 2 more answers

In a sample of 1000 cases, the mean of a certain test is 14 and the standard deviation is 2.5. Assume the distribution to be nor

Maslowich

Answer:

The top 20% of the students will score at least 2.1 points above the mean.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

The mean of a certain test is 14 and the standard deviation is 2.5.

This means that $\mu = 14, \sigma = 2.5$