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leva [86]
3 years ago
11

Tayler claims that when a linear equation is written in general form, Ax + By+ C = 0, the

Mathematics
1 answer:
Mumz [18]3 years ago
8 0
     Ax + By + C = 0
A. 3x + 5y + 45 = 0
    3x + 5(0) + 45 = 0
    3x = -45
    x = -45/3......x int.....-C/A
    x = -15

B. To find the x intercept, u must sub in 0 for y and solve for x

C. This is not true for a horizontal line because u can't sub in 0 for x because a horizontal line never crosses the x axis and therefore, does not have an x axis.

D. y int is -C/B....u find this by subbing in 0 for x and solving for y
   3x + 5y + 45 = 0
   3(0) + 5y + 45 = 0
   5y = -45
   y = -45/5......y int = -C/B
   y = -9
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Explain how to to evaluate multi-step expressions involving positive and negative decimals.
GrogVix [38]

Answer:

Hope this helps! (:

Step-by-step explanation:

By putting the numbers in the given equation,

2x + 3 + 3x = 7x + 9

5x + 3 = 7x + 9

(5x + 3) - 7x = (7x + 9) - 7x

(5x - 7x) + 3 = 9

-2x + 3 = 9

(-2x + 3) - 3 = 9 - 3

-2x = 6

-x = 3

x = -3

Therefore, our equation is correct which has a negative result.

In place of 6 if we use 8, value of x will be negative again.

7 0
2 years ago
Read 2 more answers
What is the result of converting 8 gallons to quarts? Remember, there are 4 quarts in a gallon. A.16 quarts B.4 quarts C.2 quart
Alekssandra [29.7K]

8 Gallons convert to 32 Quarts.

4 0
3 years ago
Read 2 more answers
Delta makes 12-volt car batteries. These batteries are known to be normally
blondinia [14]

Answer:

The probability that Delta car batteries last between three and four years

P(36≤X≤48) = 0.5188

The percentage of that Delta car batteries last between three and four years

P(3≤X≤4) = 52%

Step-by-step explanation:

<u><em>Step(i):-</em></u>

<em>Given that the sample size n =12 -volt car batteries</em>

<em>Let  'X' be a Random variable in a normal distribution</em>

<em>Given that mean of the normal distribution = 45 months</em>

<em>Given that the Standard deviation of the normal distribution = 8months</em>

<u><em>Step(ii):-</em></u>

Let  X₁ = 3 years = 12 × 3 = 36 months

Z_{1} = \frac{x_{1} -mean}{S.D} = \frac{36-45}{8} = -1.125

Let X₂ = 4 years  = 12 × 4 = 48 months

Z_{2} = \frac{x_{2} -mean}{S.D} = \frac{48-45}{8} = 0.375

<u><em>Step(iii)</em></u>:-

The probability that Delta car batteries last between three and four years

P(36≤X≤48) = P(-1.125≤Z≤0.375)

                   = P(Z≤0.375) - P(Z≤-1.125)

                   = 0.5 +A(0.375) - (0.5-A(1.125)

                   = 0.5 + 0.1480 - (0.5 -0.3708)

                  = 0.1480 + 0.3708

                 = 0.5188

<u><em>Final answer:-</em></u>

The probability that Delta car batteries last between three and four years

P(36≤X≤48) = 0.5188

The percentage of that Delta car batteries last between three and four years

P(3≤X≤4) = 52%

<em />

5 0
3 years ago
Find the surface area of the figure.
guajiro [1.7K]

<u>Given</u>:

Given that the radius of the cylinder is 6 m.

The height of the cylinder is 7 m.

We need to determine the surface area of the cylinder.

<u>Surface area of the cylinder:</u>

The surface area of the cylinder can be determined using the formula,

SA=2 \pi r(r+h)

where r is the radius and h is the height of the cylinder.

Substituting r = 6 and h = 7 in the above formula, we get;

SA=2 (3.14)(6)(6+7)

Simplifying, we get;

SA=2 (3.14)(6)(13)

Multiplying, we get;

SA=489.84 \ m^2

Thus, the surface area of the cylinder is 489.84 square meters.

Hence, Option a is the correct answer.

4 0
3 years ago
Consider the probability that greater than 94 out of 153 people will not get the flu this winter. Assume the probability that a
Hatshy [7]

Answer:

0.8212 = 82.12% probability that greater than 94 out of 153 people will not get the flu this winter.

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples 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.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

p = 0.65, n = 153. So

\mu = E(X) = 153*0.65 = 99.45

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{153*0.65*0.35} = 5.9

Consider the probability that greater than 94 out of 153 people will not get the flu this winter

This probability is 1 subtracted by the pvalue of Z when X = 94. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{94 - 99.45}{5.9}

Z = -0.92

Z = -0.92 has a pvalue of 0.1788

1 - 0.1788 = 0.8212

0.8212 = 82.12% probability that greater than 94 out of 153 people will not get the flu this winter.

7 0
3 years ago
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