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melisa1 [442]
3 years ago
5

Name the quadrant in which the point is located (-6,-2)

Mathematics
2 answers:
DaniilM [7]3 years ago
7 0

Answer:  The third quadrant.

Step-by-step explanation:

Points with an x coordinate of  a negative and y coordinate a negative number is located in the third quadrant.

Delvig [45]3 years ago
7 0

Answer:

quadrant 3.

reasoning behind that is that the two numbers

are negative so when you start at the origin and you go left to -6 then you go down to -2 you will end up at the bottom left corner which is the 3 quadrant

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True or False: A millisecond is a millionth of a second.
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If outliers are discarded, then the retirement savings by residents of Econistan is normally distributed with a mean of $100,000
zavuch27 [327]

Answer:

P(X>117000)=P(\frac{X-\mu}{\sigma}>\frac{117000-\mu}{\sigma})=P(Z>\frac{117000-100000}{20000})=P(z>0.85)

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

P(z>0.85)=1-P(z

The firgure attached illustrate the problem

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 retirement savings of a population, and for this case we know the distribution for X is given by:

X \sim N(100000,20000)  

Where \mu=100000 and \sigma=20000

We are interested on this probability

P(X>117000)

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>117000)=P(\frac{X-\mu}{\sigma}>\frac{117000-\mu}{\sigma})=P(Z>\frac{117000-100000}{20000})=P(z>0.85)

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

P(z>0.85)=1-P(z

The firgure attached illustrate the problem

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FromTheMoon [43]
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Tema [17]

Answer:

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Step-by-step explanation:2

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3 years ago
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