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Paladinen [302]
3 years ago
5

Your friend earns $10.50 per hour. This is 125% of her hourly wage last year. How much did your friend earn per hour last year?

Mathematics
1 answer:
Mrac [35]3 years ago
5 0
I believe it is 8.40
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​ <br><br> −3x+3y=9<br> 2x−7y=−14<br> ​ <br><br> ​
svet-max [94.6K]
(x, y) = (-7/5, 8/5)
7 0
3 years ago
The lengths of a professor's classes has a continuous uniform distribution between 50.0 min and 52.0 min. if one such class is r
rodikova [14]
The distribution is uniform for 50 ≤ x ≤ 52.
where x =  minutes per class.

The probability P(x < 50.6) is the shaded portion of the distribution.
Its value is
(50.6 - 50)/(52 - 50) = 0.3

Answer:
The probability is  0.3 or 30%

7 0
3 years ago
Which of the following are required for an independent random sample? Check all that apply. Every time an individual is selected
zysi [14]

Answer:

the probability of being included in the sample is same for all members of the population of interest. the probability of being selected first for the sample is same as the probability of being selected last

Step-by-step explanation:

A sample is said to be independent random sample if each member of the population has equal chance of being selected.

6 0
3 years ago
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
PtichkaEL [24]

Answer:

question wrong

Step-by-step explanation:

2 same angles

\frac{13+5}{z} = \frac{z}{5} \\\\z^{2} = 5 * 18\\z^{2} = 90\\z = \sqrt{90} =  9,4

4 0
4 years ago
The Precision Scientific Instrument Company manufactures thermometers that are supposed to give readings of 0°C at the freezing
Serjik [45]

Answer:

c) -1.75°

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 of 0, standard deviation of 1:

This means that \mu = 0, \sigma = 1

Find the reading that separates the bottom 4% from the others.

This is the 4th percentile, which is X when Z has a p-value of 0.04, so X when Z = -1.75.

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

-1.75 = \frac{X - 0}{1}

X = -1.75*1

X = -1.75

The correct answer is given by option c.

7 0
3 years ago
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