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GalinKa [24]
2 years ago
14

PLEASE PLEASE HELP YA'LL 3RD TIME POSTING AND REALLY NEED HELP!!!! NO LINKS ALLOWED!!

Mathematics
2 answers:
Lilit [14]2 years ago
5 0

Answer:

C

Step-by-step explanation:

Rotation 90 degrees counter clockwise rule (x,y) -----> ( -y , x )

In order to find the answer we must first find the coordinates of the pre image

The coordinates are...

x (1,-1)

y (4,-1)

z (4,-4)

Now we apply the rule stated previously

( The rule explanation: the x and y values swap and the y values sign changes. So if the y value was previously positive, after a 90° counter clockwise rotation, the y value will then be negative)

x (1,-1) -----> swap x and y values ( -1,1) ------> flip sign of new x value ( 1 , 1 )

y (4,-1) ------> swap x and y values ( -1,4) -----> flip sign of new x value ( 1 , 4 )

z (4,-4) -----> swap x and y values ( -4,4) ------> flip sign of new x value ( 4,4)

the new coordinates are X' (1,1) , Y' (1,4) , Z (4,4)

Hence the answer is C

Leni [432]2 years ago
3 0
Its c i got it right on my test!
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Assuming a normal distribution of 1000 cases, how many cases will be farther away from the mean than + 3 standard deviations?a.A
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Answer:

P(-3

And then the probability that  will be farther away from the mean than + 3 standard deviations is just

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And the number of cases would be 1000*0.0027=2.7 or approximatley 3 cases. And the bes option is : a.About 3

Step-by-step explanation:

1) 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".  

2) Solution to the problem

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

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We are interested on this probability

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

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And we can find this probability on this way:

P(-3

And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.  

P(-3

And then the probability that  will be farther away from the mean than + 3 standard deviations is just

1-0.9973= 0.0027

And the number of cases would be 1000*0.0027=2.7 or approximatley 3 cases. And the bes option is : a.About 3

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