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Kazeer [188]
2 years ago
11

Match each equation on the left with the number and type of its solutions on the right.

Mathematics
1 answer:
klemol [59]2 years ago
3 0

Answer:

Step-by-step explanation:

1). Given equation is,

   2x² - 3x = 6

   2x² - 3x - 6 = 0

   To find the solutions of the equation we will use quadratic formula,

   x = \frac{-b\pm\sqrt{b^2-4ac}}{2a}

   Substitute the values of a, b and c in the formula,

   a = 2, b = -3 and c = -6

   x = \frac{3\pm\sqrt{(-3)^2-4(2)(-6)}}{2(2)}

   x = \frac{3\pm\sqrt{9+48}}{4}

   x = \frac{3\pm\sqrt{57}}{4}

   x = \frac{3+\sqrt{57}}{4},\frac{3-\sqrt{57}}{4}

   Therefore, there are two real solutions.

2). Given equation is,

    x² + 1 = 2x

    x² - 2x + 1 = 0

    (x - 1)² = 0

     x = 1

     Therefore, there is one real solution of the equation.

3). 2x² + 3x + 2 = 0

     By applying quadratic formula,

     x = \frac{-b\pm\sqrt{b^2-4ac}}{2a}

      x = \frac{-3\pm\sqrt{3^2-4(2)(2)}}{2(2)}

      x = \frac{-3\pm\sqrt{9-16}}{4}

      x = \frac{-3\pm i\sqrt{7}}{4}

      x = \frac{-3+ i\sqrt{7}}{4},\frac{-3- i\sqrt{7}}{4}

      Therefore, there are two complex (non real) solutions.

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Answer:

0.0091 = 0.91% probability that the sample mean would be less than 48,101 miles in a sample of 281 tires if the manager is correct

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

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.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 48564, \sigma = 3293, n = 281, s = \frac{3293}{\sqrt{281}} = 196.44

What is the probability that the sample mean would be less than 48,101 miles in a sample of 281 tires if the manager is correct?

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

By the Central Limit Theorem

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

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Z = -2.36

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0.0091 = 0.91% probability that the sample mean would be less than 48,101 miles in a sample of 281 tires if the manager is correct

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