Plz help question below 20 POINTS!!!!!!!!!!!!!!!!!!!!!!!!!!!! ONLY ANSWER WITH EXPLANATION

Mathematics

2 answers:

zalisa [80]3 years ago

6 0

A persons height in centimeters and that same persons height in inches... When the input is in centimeters you can convert to inches which is actually a function. Also this was the only one that had any relation to each other like at all

Brrunno [24]3 years ago

4 0

The answer is the third choice.

In a function, each input has to be paired with exactly one output.

For example, in the first choice, there could be 40 people with different heights and at the same age. That would not work, because then (12, 52) and (12, 64) and a thousand other combinations could work.

If you eliminate each choice like this, the only thing left is the third choice.

Hope this helped!

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The sales tax in one towns 8%. So, the total cost of an item can be written as c + 0.08c. What is the total cost of an item that

Artemon [7]

Short answer:
TotalCost = 12.96

Long answer:

It gives you the equation of

total cost = C + 0.08C

You just need to plug-in the $12 to the equation.
In other words, the equation is:
TotalCost = 12 + 0.08*12
TotalCost = 12 + 0.96
TotalCost = 12.96

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3 years ago

Find the slope and y-intercept of the graph of the equation.<br> y= 2x + 7

faust18 [17]

Slope 2
y- intercept -7

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3 years ago

A grading scale is set up for 1000 students' test scores. It assumes the

astra-53 [7]

Answer:

464 students will score between 48 and 75. Using the z-distribution, we measure how many standard deviations each score is from the mean, then find the p-value associated with each score to find the proportion, and from the proportion, we find how many out of 1000.

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.

It assumes the scores are normally distributed with a mean score of 75 and a standard deviation of 15.

This means that $\mu = 75, \sigma = 15$