Identify the reflection of the figure with vertices

Mathematics

1 answer:

aivan3 [116]3 years ago

3 0

Reflection across the x-axis:
the x coordinate will stay the same but y coordinate will change sign

for example ( 2, -4) will reflect to 2 , 4)

Check out option B

You might be interested in

What is 5/7-(-1/7) as a fraction?

Tanzania [10]

$\frac{5}{7} - \frac{1}{7}$

8 0

3 years ago

Read 2 more answers

All of the following are true statements except _____.

shutvik [7]

$\qquad \qquad\huge \underline{\boxed{\sf Answer}}$

The false (wrong) equation among them is : A

$\qquad \sf \dashrightarrow \: | - 93| = - 93$

Because any number in a modulus comes out to be positive.

4 0

2 years ago

If x+y=6 and xy =2find x³+y³(please help me fast with explanation also please) T^T

Maurinko [17]

Answer: x³+y³=180

Step-by-step explain: let's remember the formula x³+y³=(x+y)(x²-xy+y²) and also x³+y³=(x+y)³-3xy(x+y) then $\displaystyle\boldsymbol{ x^3+y^3=\underbrace{(x+y)^3}_{6}-3\underbrace{xy}_{2}\underbrace{(x+y)}_6}=\\\\6^3-3\cdot 2\cdot 6=216-36=180$

6 0

3 years ago

Solve the problem. Use the Central Limit Theorem.The annual precipitation amounts in a certain mountain range are normally distr

bazaltina [42]

Answer:

0.8944 = 89.44% probability that the mean annual precipitation during 25 randomly picked years will be less than 112 inches.

Step-by-step explanation:

To solve this question, we use the normal probability distribution and the central limit theorem.

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 z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .