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kow [346]
2 years ago
10

Determine the intercepts of the line.

Mathematics
1 answer:
jeyben [28]2 years ago
5 0

Answer:

y- intercept = - 13 , x- intercept = \frac{13}{5}

Step-by-step explanation:

To find the y- intercept, substitute x = 0 into the equation and solve for y

y = 5(0) - 13 = 0 - 13 = - 13 ← y- intercept

To find the x- intercept substitute y = 0 into the equation and solve for x

0 = 5x - 13 ( add 13 to both sides )

13 = 5x ( divide both sides by 5 )

\frac{13}{5} = x

x- intercept = \frac{13}{5} = 2 \frac{3}{5} = 2.6

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Please answer this correctly without making mistakes
boyakko [2]

Answer:

105/4 or 26.25 mi

Step-by-step explanation:

hillsdale to fairfax 8 7/8 = 71/8

fairfax to yardley = 17 3/8 = 139/8

71/8 + 139/8 = 105/4 or 26 2/8

7 0
3 years ago
What’s the value of X in the triangle
elixir [45]

Answer:

58

Step-by-step explanation:

6 0
3 years ago
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Given a mean of 52.3 and a standard deviation of 1.8, what is the z-score of the value 51.8 rounded to the nearest tenth?
postnew [5]
The z-score of a certain data point in the given statistical data is calculated through the equation,
                                           z-score = (x - m) / sd
where x is the data point, m is the mean and sd is the standard deviation. 
Substituting the known values,
                                           z-score = (51.8 - 52.3) / 1.8
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Rounding the answer to the nearest tenth will give an answer of -0.3. 
8 0
3 years ago
This year the CDC reported that 30% of adults received their flu shot. Of those adults who received their flu shot,
Vlad [161]

Using conditional probability, it is found that there is a 0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.

Conditional Probability

P(B|A) = \frac{P(A \cap B)}{P(A)}

In which

  • P(B|A) is the probability of event B happening, given that A happened.
  • P(A \cap B) is the probability of both A and B happening.
  • P(A) is the probability of A happening.

In this problem:

  • Event A: Person has the flu.
  • Event B: Person got the flu shot.

The percentages associated with getting the flu are:

  • 20% of 30%(got the shot).
  • 65% of 70%(did not get the shot).

Hence:

P(A) = 0.2(0.3) + 0.65(0.7) = 0.515

The probability of both having the flu and getting the shot is:

P(A \cap B) = 0.2(0.3) = 0.06

Hence, the conditional probability is:

P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.06}{0.515} = 0.1165

0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.

To learn more about conditional probability, you can take a look at brainly.com/question/14398287

7 0
2 years ago
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Over [174]

Answer:

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Step-by-step explanation:

First multiply by two

Then multiply by four

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2 years ago
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