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2 years ago

What is the slope of this graph? a.4 b.−4 c.14 d.−14

Mathematics

2 answers:

IRISSAK [1]2 years ago

8 0

Answer:

-4

Step-by-step explanation:

max2010maxim [7]2 years ago

7 0

Answer:

Step-by-step explanation:

just look at where the line crosses the coordinate plane

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Lamar works as a tutor for $12 an hour and as a waiter for $14 an hour. This month, he worked a combined total of 100 hours at h

alexdok [17]

Answer:

-2t + 1400

Step-by-step explanation:

If t represents the number of hours Lamar worked as a tutor, the number of hours he worked as a waiter can be represented by 100 - t.

Create an equation to represent the situation:

12t + 14(100 - t) = total earned

Simplify:

12t + 1400 - 14t = total earned

-2t + 1400 = total earned

So, the expression for the amount he earned is -2t + 1400

6 0

3 years ago

What property should be initially applied to simplify the expression (4a + 4b) + (2b - c) + 5c?

Jobisdone [24]

Step-by-step explanation:

There is nothing special in the given expression.

first of all we can arrange the likes terms together to reduce the expression, and there is no need of parenthesis so we can write

4a+4b+2b-c+5c

=4a+4b+4c

taking 4 common we get

4(a+b+c)

8 0

2 years ago

Find the slope - intercept for of the lime whose slope is 7 and that passes through point (-4,6)

CaHeK987 [17]

Y - y₁ = m(x - x₁)
y - 6 = 7(x - (-4))
y - 6 = 7(x + 4)
y - 6 = 7(x) + 7(4)
y - 6 = 7x + 28
<u> + 6 + 6</u>
y = 7x + 34

4 0

2 years ago

Suppose the daily customer volume at a call center has a normal distribution with mean 5,500 and standard deviation 1,000. What

lakkis [162]

Answer:

0.0665 = 6.65% probability that the call center will get between 4,800 and 5,000 calls in a day.

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.

Mean 5,500 and standard deviation 1,000.

This means that $\mu = 5500, \sigma = 1000$