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kozerog [31]
3 years ago
11

Louise noticed that her bank balance was −$33.72 before her paycheck was deposited. After the check had been deposited, the bala

nce was $822.98. No other deductions or deposits were made. How much money was she paid?
Mathematics
1 answer:
Katena32 [7]3 years ago
3 0
Literally Louise didn't pay anything, the bank just deducted the negative balance to her paycheck. to answer how much the she paid, the answer is $33.72, this is the negative amount balance on her bank.
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C for sure : >

Step-by-step explanation:

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What is a coefficient
Bumek [7]

Answer:

a coefficient is the number before a variable for example in 18x 18 is the coefficient or in 27y its 27

Step-by-step explanation:

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3 years ago
Hannah estimated that a bottle could hold 2.2 liters. The actual volume of the bottle was 2 litters. What was the percent error
MrRa [10]

Answer:

I dont have a direct answer but i think i can help.

Step-by-step explanation:

For example, 2%, read "percent", is two every hundred. When we have 100 liters of water, 2% is 2 liters. If we have 200 liters of water, then 2% is 4 liters. Converting a percentage into a fraction can be done by dividing by 100, following the definition of a percentage.

4 0
2 years ago
An honest die is rolled. If the roll comes out even (2, 4, or 6), you will win $1; if the roll comes out odd (1,3, or 5), you wi
jenyasd209 [6]

Answer:

(a) 50%

(b) 47.5%

(c) 2.5%

Step-by-step explanation:

According to the honest coin principle, if the random variable <em>X</em> denotes the number of heads in <em>n</em> tosses of an honest coin (<em>n</em> ≥ 30), then <em>X</em> has an approximately normal distribution with mean, \mu=\frac{n}{2} and standard deviation, \sigma=\frac{\sqrt{n}}{2}.

Here the number of tosses is, <em>n</em> = 2500.

Since <em>n</em> is too large, i.e. <em>n</em> = 2500 > 30, the random variable <em>X</em> follows a normal distribution.

The mean and standard deviation are:

\mu=\frac{n}{2}=\frac{2500}{2}=1250\\\\\sigma=\frac{\sqrt{n}}{2}=\frac{\sqrt{2500}}{2}=25

(a)

To not lose any money the even rolls has to be 1250 or more.

Since, <em>μ</em> = 1250 it implies that the 50th percentile is also 1250.

Thus, the probability that by the end of the evening you will not have lost any money is 50%.

(b)

If the number of "even rolls" is 1250, it implies that the percentile of 1250 is 50th.

Then for number of "even rolls" as 1300,

1300 = 1250 + 2 × 25

        = μ + 2σ

Then P (μ + 2σ) for a normally distributed data is 0.975.

⇒ 1300 is at the 97.5th percentile.

Then the area between 1250 and 1300 is:

Area = 97.5% - 50%

        = 47.5%

Thus, the probability that the number of "even rolls" will fall between 1250 and 1300 is 47.5%.

(c)

To win $100 or more the number of even rolls has to at least 1300.

From part (b) we now 1300 is the 97.5th percentile.

Then the probability that you will win $100 or more is:

P (Win $100 or more) = 100% - 97.5%

                                   = 2.5%.

Thus, the probability that you will win $100 or more is 2.5%.

7 0
3 years ago
र<br> Solve the equation<br> y + 3 = -y + 9<br> O y= 1<br> O y=3<br> O y=6<br> O y=9<br> र
Leto [7]

Answer:

y=3

Step-by-step explanation:

y + 3 = -y + 9

y + y = 9 - 3

2*y = 6

y = 6/2

y = 3

6 0
2 years ago
Read 2 more answers
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