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Ierofanga [76]
3 years ago
10

No Solutions

Mathematics
1 answer:
wlad13 [49]3 years ago
4 0

Answer:

5-4×7×+1×

Step-by-step explanation:

its all together when u add subtract

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Its that time of day :D plz help with math
konstantin123 [22]

Answer:

Step-by-step explanation:

4 11

6 0
3 years ago
Read 2 more answers
The topic= Direct and Inverse Proportions
maxonik [38]

Answer:

A) 3

B)60

C)4

Step-by-step explanation:

y = kx

36 = 12k

A)k=3

~~~~~~~~~~

b) 60

12*5

c) 4  

12/3

6 0
2 years ago
Find the product.<br> 3cd^2(6cd + 14cd^2)
klasskru [66]
3cd^2(6cd + 14cd^2)
18cd^3 + 42cd^4
5 0
3 years ago
525 + ( -525.50) = 0
strojnjashka [21]

Answer:

This is true because the + and the - will turn into a negative, therefore it will stay zero

Step-by-step explanation:

+ (-x) = -x, NOT +x

7 0
3 years ago
The time spent waiting in the line is approximately normally distributed. The mean waiting time is 6 minutes and the variance of
asambeis [7]

Answer:

0.1587 = 15.87% probability that a person will wait for more than 9 minutes.

Step-by-step explanation:

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.

The mean waiting time is 6 minutes and the variance of the waiting time is 9.

This means that \mu = 6, \sigma = \sqrt{9} = 3

Find the probability that a person will wait for more than 9 minutes.

This is 1 subtracted by the p-value of Z when X = 9. So

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

Z = \frac{9 - 6}{3}

Z = 1

Z = 1 has a p-value of 0.8413.

1 - 0.8413 = 0.1587

0.1587 = 15.87% probability that a person will wait for more than 9 minutes.

8 0
2 years ago
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