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3 years ago

H e l p m e p l e a s e

Mathematics

1 answer:

Crazy boy [7]3 years ago

7 0

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Point N has coordinates (-1 , 2) point Q is symmetric to point N with respect to the line y=x what are the coordinates of of poi

kykrilka [37]

Answer:

Q=(2,-1)

Step-by-step explanation:

We are given point as N=(-1,2)

Point Q is symmetric to point N with respect to line y=x

we know that any point symmetric with respect to line y=x means inverse of that point

For example: If we have to find symmetric about y=x line of point (a,b)

a changes to b

and b changes to a

so, symmetric of (a,b) with respect to y=x line would be (b,a)

We have point N(-1,2)

-1------>2

2----->-1

so, we get point as

Q=(2,-1)

3 0

3 years ago

Help wit 19 ASAP WILL MARK BRAINLIST

Alex_Xolod [135]

Answer:

m∠a = 60°

Step-by-step explanation:

Hi there,

Before answering this question, you should know that the sum of all the angles in a triangle will always be 180°. Therefore, we can write this equation to find the value of ∠a :

70° + 50° + m∠a = 180°

Solve for m∠a

120° + m∠a = 180°

m∠a = 60°

Hope this answer helps. Cheers.

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4 years ago

ASAP HELP you have $125 dollars in a savings account and you deposit an equal amount into your account each week. After 5 weeks

Ronch [10]

Answer:

Step-by-step explanation:

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3 years ago

if car is worth $40,000 and then ten years later it is worth $24,000 express the cars value in dollars as a function of time

VikaD [51]

Answer:

yufidjeniskskdmxcjffmdmiiekejx hi w

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3 years ago

The amount of mineral water consumed by a person per day on the job is normally distributedwith mean 19 ounces and standard devi

raketka [301]

Answer:

0.0228 = 2.28% probability that the mineral water supplied by the company will not satisfy the water demanded by its employees.

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 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.

n values from a normal distribution:

The mean is $\mu*n$ and the standard deviation is $\sigma\sqrt{n}$