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poizon [28]
2 years ago
12

A seventh-grade student forgets to bring his lunch money on several occasions. Each time he forgets his lunch money, he has to c

harge his cafeteria account by .15.
Solve the following equation.

4(−3.15)=

Explain what this product means in terms of the cafeteria account.
Mathematics
1 answer:
Georgia [21]2 years ago
6 0

Answer:

-12.6

Step-by-step explanation:

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Hhhhhhhhhhhhhhhhhhhhhheeeeeeeeelp
Aleks04 [339]
Divide -11 \frac{1}{5} by 5. Or multiply it by 1/5.

You get - 56/25 or -2 \frac{6}{25} pounds per month. 
5 0
3 years ago
An airline company is considering a new policy of booking as many as 191 persons on an airplane that can seat only 180. (Past st
notka56 [123]

Answer:

1.3559644*10^-^5

Step-by-step explanation:

From the information given we extract the following data

Total Number of Trials (N) = 191

Required Value (x) = 181 (notice it is not 180 since at that value we have enough passengers)

Odds of success (p) = 0.85

Using the binomial formula for calculating probability, i.e.

P(x; N, p) = nCx * p^x *(1-p)^{N-x}

Inputting the values

P(181; 191, 0.85) = 191C181 *0.85^{181}  *(1-0.85)^{191-181} \\ P(181; 191, 0.85) = 1.3559644*10^-^5

3 0
3 years ago
Teresa is maintaining a camp fire. She has kept the fire steadily burning for 4 hours with 6 logs. She wants to know how many lo
elena-14-01-66 [18.8K]

Answer:

X/18=6/4

Step-by-step explanation:

4hrs=6 logs

18hrs=x

4x=18×6

Which can also be written as

\frac{x}{18  }  =  \frac{6}{4}

7 0
3 years ago
The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem
wariber [46]

Answer:

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

Step-by-step explanation:

Let X the random variable that represent the number of admisions at the universit, and we have this probability distribution given:

X        1060   1400    1620

P(X)     0.5      0.1        0.4

In statistics and probability analysis, the expected value "is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those values".

The variance of a random variable Var(X) is the expected value of the squared deviation from the mean of X, E(X).

And the standard deviation of a random variable X is just the square root of the variance.  

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

3 0
2 years ago
Can someone please answer all the questions with explanations?
aalyn [17]

Answer:

I don't know sorry can't help you

6 0
2 years ago
Read 2 more answers
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