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professor190 [17]
3 years ago
10

When a question ask you to describe the relationship what does that mean and how will u do it

Mathematics
1 answer:
yanalaym [24]3 years ago
4 0

In this case you can say in one hour Austin earns $7.50.

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The following are the ages (years) of 5 people in a room:
MA_775_DIABLO [31]

Answer:

The person is 14 years old

Step-by-step explanation:

1. Multiply 6 times 18 which is 108

2. Add all numbers together in list which is 94

3. Subtract 94 from 108 which is 14

4. To check answer add 94 plus 14 and divide by 6 and you will get the median which is 18, now you know this answer is correct.

8 0
3 years ago
What is the percent equivalent of 4.87? 0.0487% 0.487% 48.7% 487%
ahrayia [7]
The correct answer is 0.0487% Hope this helps! ;D
5 0
3 years ago
The amount of time all students in a very large undergraduate statistics course take to complete an examination is distributed c
Anestetic [448]

Answer:

a) The mean is \mu = 60

b) The standard deviation is \sigma = 9

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 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 probability a student selected at random takes at least 55.50 minutes to complete the examination equals 0.6915.

This means that when X = 55.5, Z has a pvalue of 1 - 0.6915 = 0.3085. This means that when X = 55.5, Z = -0.5

So

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

-0.5 = \frac{55.5 - \mu}{\sigma}

-0.5\sigma = 55.5 - \mu

\mu = 55.5 + 0.5\sigma

The probability a student selected at random takes no more than 71.52 minutes to complete the examination equals 0.8997.

This means that when X = 71.52, Z has a pvalue of 0.8997. This means that when X = 71.52, Z = 1.28

So

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

1.28 = \frac{71.52 - \mu}{\sigma}

1.28\sigma = 71.52 - \mu

\mu = 71.52 - 1.28\sigma

Since we also have that \mu = 55.5 + 0.5\sigma

55.5 + 0.5\sigma = 71.52 - 1.28\sigma

1.78\sigma = 71.52 - 55.5

\sigma = \frac{(71.52 - 55.5)}{1.78}

\sigma = 9

\mu = 55.5 + 0.5\sigma = 55.5 + 0.5*9 = 55.5 + 4.5 = 60

Question

The mean is \mu = 60

The standard deviation is \sigma = 9

6 0
2 years ago
What are integers?<br> Please give your best explanation and a simple example (worth 20 points)
tino4ka555 [31]
<h3><u>Explanation</u></h3>
  • What is Integer?

Integer is a subset of Real Number. It can be broken into these following:

  1. Positive Integer
  2. Zero
  3. Negative Integer

Integer can be any whole numbers. Keep in mind that Integers cannot be fractions, decimal, approximate value, etc. Integers can only be something like 1,2,3,-1,-2,0.

<u>Integers</u><u> </u><u>are</u><u> </u><u>like</u><u> </u><u>Natural</u><u> </u><u>or</u><u> </u><u>Counting</u><u> </u><u>Numbers</u><u> </u><u>except</u><u> </u><u>they</u><u> </u><u>have</u><u> </u><u>0</u><u> </u><u>and</u><u> </u><u>negative</u><u> </u><u>numbers</u><u>.</u>

  • Positive Integer

Positive Integers are basically a natural or counting number. It starts from 1 to any positive countable infinity. Here is the example of positive integer: 1,2,3,4,5,6,7,...

  • Zero

Zero is just a number 0. It is between the negative and positive. 0 is neither positive or negative but it is categorized as Zero.

  • Negative Integers

Negative Integers are opposite of Positive Integers. The opposite of plus is minus and the opposite of minus is plus. Negative Integers are less than both 0 and Positive Integers. Here is the example: -1,-2,-3,-4,-5,...

5 0
3 years ago
Read 2 more answers
Can someone tell me which one it is
IrinaK [193]

Answer:

<h2>D</h2>

Step-by-step explanation:

<h3>:))))))))))))))))))))))))))))))))</h3>
3 0
3 years ago
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