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erica [24]
3 years ago
15

–125 ÷ –5 = ? A. –23 B. –25 C. 23 D. 25

Mathematics
2 answers:
Alekssandra [29.7K]3 years ago
7 0

Answer:

D: 25

Step-by-step explanation:

-125/-5

First: The two negatives cancel each other out.

Second: Do positive 125/5

Third: Your answer is positive 25

vovikov84 [41]3 years ago
6 0

Answer:

The answer is 25

Step-by-step explanation:

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The amount of money (in dollars) that it costs to purchase x square feet of carpet is given by f(x)=7.5x. The installation fee i
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Answer:

Refer below

Step-by-step explanation:

Installation fee equation will be added onto the original equation

So g = base cost + percent cost + $100

(Cost of carpet) ---> g = $7.5x + ($7.5x * 0.05) + $100

Plug in 150 into the formula that gives you $1281.25

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6 0
3 years ago
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Based on past experience, a telemarketing firm has found that calls to prospective customers take an average of 2.0 minutes, wit
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Answer: Our required probability would be 0.9641.

Step-by-step explanation:

Since we have given that

Number of hours he works a day = 8

So, Number of minutes he worked in a day = 8\times 60=480\ minutes

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So, Average =\bar{x}=\dfrac{480}{220}=2.18\ minutes

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Standard deviation = σ = 1.5 minutes

Using the normal distribution, we get that

z=\dfrac{\bar{x}-\mu}{s}\\\\z=\dfrac{2.18-2.0}{0.10}\\\\z=1.8

So, the probability that Albert will meet or exceed his quota would be

P(X\leq 2.18)=P(z\leq 1.8)=0.9641

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6 0
3 years ago
3. What is the answer to the second<br> example? -2+6 2x-6
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ceasxfewddsxcfd
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shi x, miao w, and tchetgen tchetgen ej. (2020). multiply robust causal inference with double negative control adjustment for ca
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Reliable causal inference based on observational studies is seriously threatened by unmeasured confounding.

What is unmeasured cofounding?

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Although they've been utilised mostly for bias detection, negative controls have a long history in laboratory sciences and epidemiology of ruling out non-causal causes. A pair of negative control exposure and outcome variables can be utilised to non-parametrically determine the average treatment effect (ATE) from observational data that is vulnerable to uncontrolled confounding, according to a recent study by Miao and colleagues.

Reliable causal inference based on observational studies is seriously threatened by unmeasured confounding.

Learn more about unmeasured confounding here:

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5 0
1 year ago
PLEASE HELP ASAP!!! CORRECT ANSWERS ONLY PLEASE!!!
mariarad [96]

\frac{x^{2}+x-4}{x^{2}+3x+2}

Micah did not explain the last step correctly.  You cannot cross out a term from the numerator and denominator unless it is a factor.  In other words, x² needed to be multiplied and not added in order to cross it out.


5 0
3 years ago
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