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irinina [24]
3 years ago
15

The hourly wages for employees at a hardware store are shown. ​

Mathematics
1 answer:
NemiM [27]3 years ago
8 0

Answer:

do you have a picture

Step-by-step explanation:

instructions uncleat

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Simplify. Your answer should contain only positive exponents.
Shkiper50 [21]
<h3>Option A is your answer .</h3>

<u>Solution </u><u>:</u><u>-</u>

\sf \implies 2^{-4} . \big(2^{-3}\big)^4\\\\\sf \implies\dfrac{1}{2^4}.\left(\dfrac{1}{2^{3}}\right)^4\\\\\sf\implies \dfrac{1}{2^4}.\left(\dfrac{1^4}{(2^3)^4}\right)\\\\\sf\implies\dfrac{1}{2^4}.\left(\dfrac{1}{2^{12}}\right)\\\\\sf\implies \dfrac{1}{2^{16}}

5 0
3 years ago
Hi I really need help with this question. SHOW YOUR WORK IF YOU ARE WILLING TO HELP ME TY! &lt;3
Ulleksa [173]

Answer:

8.9

Step-by-step explanation:

Parenthesis are always first so,

4.5+7.6=12.1

so the problem would look like this now:

12.1-8/2.5

so convert 8/2.5 to 8÷1/5÷2 so this will become 16/5

16.5 concerted to decimal=3.2

so 12.1-3.2=8.9


6 0
3 years ago
An HP laser printer is advertised to print text documents at a speed of 18 ppm (pages per minute). The manufacturer tells you th
anastassius [24]

Answer:

0.288

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question, we have that:

\mu = 17.48, \sigma = 3.25, n = 10, s = \frac{3.25}{\sqrt{10}} = 1.027740

Find the probability that the mean printing speed of the sample is greater than 18.06 ppm.

This is 1 subtracted by the pvalue of Z when X = 18.06. So

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

By the Central Limit Theorem

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

Z = \frac{18.06 - 17.48}{1.027740}

Z = 0.56

Z = 0.56 has a pvalue of 0.712

1 - 0.712 = 0.288

The answer is 0.288

7 0
3 years ago
Which ordered pairs make both inequalities true? Select two options. y &lt; 5x + 2 y &gt; One-halfx + 1 On a coordinate plane, 2
Verdich [7]

Answer:

(1, 2)

(2,2)

Step-by-step explanation:

The inequality Given :

y < 5x + 2

y ≥ One-halfx + 1

We can use the values in the options to see which satisfies the inequality :

(-1, 3) ; X = - 1, y = 3

3 < 5(-1) + 2 ; 3 < - 4 (not true)

(0, 2) ; X = 0 ; y = 2

2 < 5(0) + 2 ; 2 < 2 (nor true)

2 > 1/2(0) + 1

2 > 1 (true)

Using (1, 2).; x = 1 ; y = 2

2 < 5(1) + 2 ; 2 < 7 (true)

2 > 1/2(1) + 1 ; 2 > 1.5 (true)

Using (2, 2)

y < 5x + 2

2 < 10 + 2 ; 2 < 12 (true)

y > 1/2x + 1

2 > 1/2(2) + 1 ; 2

8 0
3 years ago
$800 principal earning 7%, compounded annually, after 4 years
xz_007 [3.2K]
800(1+7)∧4
it will be $1048.63
4 0
3 years ago
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