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kondaur [170]
3 years ago
9

Which of the following is the definition of y-intercept? the value where the line crosses the x-axis the value where the line cr

oss the y-axis
Mathematics
1 answer:
Trava [24]3 years ago
3 0

Answer:the value where the line crosses the y axis

Step-by-step explanation:

its crossing through the y-axis not the x-axis because. The y-intercept is where the line crosses the y-axis.  for example, you see the line cuts across the y-axis at -2. This makes our y-intercept -2.

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A car traveled 3⁄4 mile in one minute at constant speed. What was the speed of the car in miles per hour?
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3/4 mile is 0.75 mile per minute
There are 60 minutes in one hour
0.75 times 60 equals 45 miles
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3 years ago
Approximately 2\%2%2, percent of the people in the world have red hair. There are about 7{,}000{,}000{,}0007,000,000,0007, comma
weqwewe [10]
Find 2% of 7 billion.

7,000,000,000 x .02 = 140,000,000

About 140 million people have red hair.
3 0
4 years ago
Joe paid 14.00 for a board game this is 70% off the original price what is the original price?
soldi70 [24.7K]

Answer:

The correct option is B.

Step-by-step explanation:

It is given that Joe paid 14.00 for a board game this is 70% of the original price what is the original price.

Let the original price of board game be x.

x\times \frac{70}{100}=14

x\times \frac{7}{10}=14

Multiply both sides by 10.

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Divide both sides by 7.

x=20

The original price is 20. Therefore the correct option is B.

6 0
4 years ago
1.64 written as fraction in simplest form
erastovalidia [21]
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8 0
3 years ago
An alarming number of U.S. adults are either overweight or obese. The distinction between overweight and obese is made on the ba
madreJ [45]

Answer:

(A) The probability that a randomly selected adult is either overweight or obese is 0.688.

(B) The probability that a randomly selected adult is neither overweight nor obese is 0.312.

(C) The events "overweight" and "obese" exhaustive.

(D) The events "overweight" and "obese" mutually exclusive.

Step-by-step explanation:

Denote the events as follows:

<em>X</em> = a person is overweight

<em>Y</em> = a person is obese.

The information provided is:

A person is overweight if they have BMI 25 or more but below 30.

A person is obese if they have BMI 30 or more.

P (X) = 0.331

P (Y) = 0.357

(A)

The events of a person being overweight or obese cannot occur together.

Since if a person is overweight they have (25 ≤ BMI < 30) and if they are obese they have BMI ≥ 30.

So, P (X ∩ Y) = 0.

Compute the probability that a randomly selected adult is either overweight or obese as follows:

P(X\cup Y)=P(X)+P(Y)-P(X\cap Y)\\=0.331+0.357-0\\=0.688

Thus, the probability that a randomly selected adult is either overweight or obese is 0.688.

(B)

Commute the probability that a randomly selected adult is neither overweight nor obese as follows:

P(X^{c}\cup Y^{c})=1-P(X\cup Y)\\=1-0.688\\=0.312

Thus, the probability that a randomly selected adult is neither overweight nor obese is 0.312.

(C)

If two events cannot occur together, but they form a sample space when combined are known as exhaustive events.

For example, flip of coin. On a flip of a coin, the flip turns as either Heads or Tails but never both. But together the event of getting a Heads and Tails form a sample space of a single flip of a coin.

In this case also, together the event of a person being overweight or obese forms a sample space of people who are heavier in general.

Thus, the events "overweight" and "obese" exhaustive.

(D)

Mutually exclusive events are those events that cannot occur at the same time.

The events of a person being overweight and obese are mutually exclusive.

5 0
3 years ago
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