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2 years ago

The point (-5, 3) is reflected across the x axis. What are the coordinates of this reflection? Group of answer choices

Mathematics

1 answer:

harina [27]2 years ago

8 0

Answer:

( -5, -3)

Step-by-step explanation:

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A worker earns the same amount for each

Vladimir79 [104]

Answer: 8 hours= $128 40 hours= $640

Step-by-step explanation:

$48.00 divided by 3 = $16.00 an hour. so 16x8=128 and 16x40=640

4 0

3 years ago

Create a linear function f(x), whose graph has the given slope that meets the given condition. Slope of 7,f(7)=1. The equation o

kolbaska11 [484]

For a linear function, you want it in y= mx + b form
They give you the slope your x, and when they say f(7)=1 that's like saying when x=7, y=1, or the ordered pair (7,1). To make it in y=mx+b, you can plug these coordinates in to solve for b. So, 1=7(7)+b, after you plug in slope and your point. Do math, 1=49+b, b=-48
That's how I think it's done

8 0

3 years ago

If ƒ = {(2, -4), (2, 7) (3, 5), (4, -1), (8, 7)}, then ƒ is a function.

Pachacha [2.7K]

Answer:

F is not a function

Step-by-step explanation:

There is more than 1 corresponding y coordinate per x coordinate

7 0

3 years ago

21÷7=3 what is the meaning of the unknown factor and quotient?

koban [17]

The quotient is the answer to a division problem. And the factors are the numbers u are multiplying.

4 0

3 years ago

You have two biased coins. Coin A comes up heads with probability 0.1. Coin B comes up heads with probability 0.6.However, you a

Andrews [41]

Answer:

The probability that our guess is correct = 0.857.

Step-by-step explanation:

The given question is based on A Conditional Probability with Biased Coins.

Given data:

P(Head | A) = 0.1

P(Head | B) = 0.6

<u>By using Bayes' theorem:</u>

$P(B|Head) = P(Head|B) \times \frac{P(B)}{P(Head)}$

We know that P(B) = 0.5 = P(A), because coins A and B are equally likely to be picked.

Now,

P(Head) = P(A) × P(head | A) + P(B) × P(Head | B)

By putting the value, we get

P(Head) = 0.5 × 0.1 + 0.5 × 0.6

P(Head) = 0.35

Now put this value in $P(B|Head) = P(Head|B) \times \frac{P(B)}{P(Head)}$ , we get

$P(B|Head) = P(Head|B) \times \frac{P(B)}{P(Head)}$

$P(B|Head) = 0.6 \times \frac{0.5}{0.35}$

$P(B|Head) = 0.857$

Similarly.

$P(A|Head) = 0.857$

Hence, the probability that our guess is correct = 0.857.

7 0

3 years ago