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vazorg [7]
3 years ago
14

IF I travel (4+x) miles per hour for 2 hour and I travel the same distance at (4-x) miles per hour in 3 hours, what is x?

Mathematics
1 answer:
DanielleElmas [232]3 years ago
3 0
So this is saying that the two distances travelled are the same.
Now... Distance = Speed * Time
Thus (4+x)*2=(4-x)*3
So 8+2x=12-3x
Thus, 5x=4
so x=0.8
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Whats 37/5 as a mixed number or number
podryga [215]
The  answer is 5  and  2/5. Hopefully it is correct!
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pentagon [3]

Answer:

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Step-by-step explanation:

6 0
2 years ago
A student gets 68 marks n therefore gets 85 percent total marks are?
mihalych1998 [28]

Answer:

There are 80 marks in total.

Step-by-step explanation:

Let the number of total marks be x.

The percentage score of the student can be written as the ratio

\displaystyle \frac{68}{x} = 85\%.

However,

\displaystyle 85\% = \frac{85}{100}.

Equating the two:

\displaystyle \frac{68}{x} = \frac{85}{100}.

Cross-multiply (that is: multiple both sides by 100x, the product of the two denominators) to get

85x = 68\times 100.

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In other words, there are 80 marks in total.

4 0
3 years ago
What are the measures of x y and z
Svetlanka [38]
Hahah what you learning...............
7 0
3 years ago
Items produced by a manufacturing process are supposed to weigh 90 grams. The manufacturing procon
Annette [7]

Using the normal distribution, it is found that 0.26% of the items will either  weigh less than 87 grams or more than  93 grams.

In a <em>normal distribution</em> with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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

  • It 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, which is the percentile of X.

In this problem:

  • The mean is of 90 grams, hence \mu = 90.
  • The standard deviation is of 1 gram, hence \sigma = 1.

We want to find the probability of an item <u>differing more than 3 grams from the mean</u>, hence:

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

Z = \frac{3}{1}

Z = 3

The probability is P(|Z| > 3), which is 2 multiplied by the p-value of Z = -3.

  • Looking at the z-table, Z = -3 has a p-value of 0.0013.

2 x 0.0013 = 0.0026

0.0026 x 100% = 0.26%

0.26% of the items will either  weigh less than 87 grams or more than  93 grams.

For more on the normal distribution, you can check brainly.com/question/24663213

4 0
3 years ago
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