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dedylja [7]
3 years ago
5

If XZ= 50, what are XY and YZ ? Exolain how to show work and how you got your answer.

Mathematics
1 answer:
zlopas [31]3 years ago
4 0
It's not clear where point Y is located. If Y is the midpoint, and Y is on line XZ, then we can say that XY = 25 and YZ = 25 (since Y cuts XZ in half; the two equal portions are XY and YZ)

I'm using the segment addition postulate XY+YZ = XZ

However, all of this is based on the assumption that Y is the midpoint and on line XZ. 
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Which statement is true about the end behavior of the graphed function?
tatyana61 [14]

The <em><u>correct answer</u></em> is:

A) as the x-values go to positive infinity, the functions values go to negative infinity.  

Explanation:

We can see in the graph that the right hand portion continues downward to negative infinity.  The right hand side of the graph is "as x approaches positive infinity," since x continues to grow larger and larger.  This means as x approaches positive infinity, the value of the function approaches negative infinity.

8 0
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2 years ago
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Elena-2011 [213]
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5 0
3 years ago
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The distribution of the average amount of sleep per night gotten by college students is roughly bell-shaped with mean 412 minute
kirza4 [7]

Answer:

P(X

P(z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the scores of a population, and for this case we know the distribution for X is given by:

X \sim N(412,68)  

Where \mu=412 and \sigma=68

We are interested on this probability

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X

And we can find this probability using the normal standard table or excel and we got:

P(z

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3 years ago
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