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Rasek [7]
3 years ago
11

The length of a rectangular mailing

Mathematics
1 answer:
anygoal [31]3 years ago
7 0

<em><u>ANSWER</u></em>

Let the width be y

2(L + W) = Perimeter

2(2y - 5cm + y) = 62cm

(2×2y) + (2×-5cm) + (2×y) = 62cm

4y + - 10cm + 2y = 62cm

4y - 10cm + 2y = 62cm

4y + 2y - 10cm = 62cm

6y - 10cm + 10cm = 62cm + 10cm

<u>6</u><u>y</u> = <u>7</u><u>2</u><u>c</u><u>m</u>

6 6

y = 12cm

<em><u>WIDTH</u></em>

= y

= 12cm

<em><u>LENGTH</u></em>

= 2y - 5cm

= 2×y - 5cm

= 2×12cm - 5cm

= 24cm - 5cm

= 19cm

<em><u>Providence</u></em>

19cm + 19cm + 12cm + 12cm = 62cm which is the perimeter

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Suppose that 50% of the watches produced by a certain factory are defective. A store buys a box with 400 watches produced by thi
tiny-mole [99]

Answer:

(a)\ P(x \ge 215)

(b)\ P(x \ge 214.5) = 0.07353

Step-by-step explanation:

Given

p = 0.50 ---- proportion of watches with defects

n = 400 --- Number of watches

Solving (a): Represent at least 215 of 400 are defective

In inequalities, at least means: \ge

So, the probability is represented as: P(x \ge 215)

Solving (b): Calculate P(x \ge 215)

Normal or Poisson: Normal distribution is characterized by 2 parameters \mu and \sigma.

These two parameters can be easily calculated from the given parameters in the question. So, we solve using normal distribution

Start by calculating the mean

\mu =np

\mu = 0.50 * 400

\mu = 200

Calculate standard deviation

\sigma = \sqrt{\mu (1 - p)

\sigma = \sqrt{200 * (1 - 0.50)

\sigma = \sqrt{200 *  0.50

\sigma = \sqrt{100

\sigma = 10

By continuity correction, we have:

x \to x - 0.5

x \to 215 - 0.5

x \to 214.5

So, we have:

P(x \ge 215) = P(x \ge 214.5)

Calculating P(x \ge 214.5), we have:

P(x \ge 214.5) = 1 - P(x < z)

Calculate z score

z = \frac{x - \mu}{\sigma}

z = \frac{214.5 - 200}{10}

z = \frac{14.5}{10}

z = 1.45

So, we have:

P(x \ge 214.5) = 1 - P(x < 1.45)

Using the z score probability table, we have:

P(x < 1.45) = 0.92647

So, we have:

P(x \ge 214.5) = 1 - 0.92647

P(x \ge 214.5) = 0.07353

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3 years ago
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Answer:

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