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Katarina [22]
3 years ago
12

What's 645 divided by 43

Mathematics
2 answers:
german3 years ago
7 0
Your answeer would be 15
miss Akunina [59]3 years ago
4 0
645 divided by 43 is 15
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Basile [38]
I think is gonna be B


3 0
3 years ago
Read 2 more answers
The points (3,9) and (-3,-9) are plotted on the coordinate plane using the equation y= a•x. What is the value of a?
8_murik_8 [283]
A=3

The equation y=3x goes through both points

Hope I helped

5 0
3 years ago
In a given year, the average annual salary of a NFL football player was $189,000 with a standard deviation of $20,500. If a samp
nika2105 [10]

Answer:

15.15% probability that the sample mean will be $192,000 or more.

Step-by-step explanation:

To solve this problem, 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 random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 189000, \sigma = 20500, n = 50, s = \frac{20500}{\sqrt{50}} = 2899.14

The probability that the sample mean will be $192,000 or more is

This is 1 subtracted by the pvalue of z when X = 192000. So

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

By the Central Limit Theorem

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

Z = \frac{192000 - 189000}{2899.14}

Z = 1.03

Z = 1.03 has a pvalue of 0.8485.

1-0.8485 = 0.1515

15.15% probability that the sample mean will be $192,000 or more.

7 0
3 years ago
Use the commutative law of MULTIPLICATION to write an equivalent expression.<br><br> 9(x+5)
Arturiano [62]
The commutative property of multiplication is ab=ba
so
9(x+5)=(x+5)9
(note, some people on this site like to write x2 for x² but that's not how you math correctly., (x+5)9 doesn't mean (x+5)⁹, it means (x+5) times 9)
3 0
3 years ago
Find the interquartile range (IQR) of the data in the dot plot below. 0,1,1,3,3,3,4,5,7
Marizza181 [45]

Answer: the IQR is 3.5

Step-by-step explanation:

6 0
3 years ago
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