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galina1969 [7]
4 years ago
15

A cyclist traveled 12 kilometers per hour faster than an in-line skater. In the time it took the cyclist to travel

Mathematics
1 answer:
aksik [14]4 years ago
4 0

Let v be the speed of the in-line skater, and t the time they both traveled. Applying the law s=vt, where s is the space, v is the velocity and t is time, we have

45=vt

In the same amount of time, traveling at v+12 km/h, the cyclist travels 75km:

75=(v+12)t

Solving both equations for t leads to

t=\dfrac{45}{v},\quad t = \dfrac{75}{v+12}

Since the left hand sides are equal, so must be the right hand sides:

\dfrac{45}{v}=\dfrac{75}{v+12} \iff 45(v+12)=75v \iff 45v+540=75v \iff 30v=540

Divide both sides by 30 to get

v=18

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The number of chocolate chips in a bag of chocolate chip cookies is approximately normally distributed with mean 1263 and a stan
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Answer:

(a) The 29th percentile for the number of chocolate chips in a bag is 1198.65.

(b) The number of chocolate chips in a bag that make up the middle 95​% of bags are [1146, 1380].

(c) The inter-quartile range of the number of chocolate chips in a bag of chocolate chip​ cookies is 157.83.

Step-by-step explanation:

Let the random variable <em>X</em> represent the number of chocolate chips in a bag of chocolate chip cookies.

The random variable <em>X</em> is normally distributed with mean, <em>μ </em>= 1263 and a standard deviation, <em>σ </em>= 117.

(a)

Compute the 29th percentile for the number of chocolate chips in a bag as follows:

P (X < x) = 0.29

⇒ P (Z < z) = 0.29

The value of <em>z</em> for the above probability is, <em>z</em> = -0.55.

Compute the value of <em>x</em> as follows:

z=\frac{x-\mu}{\sogma}\\-0.55=\frac{x-1263}{117}\\x=1263-(117\times 0.55)\\x=1198.65

Thus, the 29th percentile for the number of chocolate chips in a bag is 1198.65.

(b)

According to the Empirical rule 95% of the normally distributed data lies within 2 standard deviations of the mean.

P (μ - σ < X < μ + σ) = 0.95

P (1263 - 117 < X < 1263 + 117) = 0.95

P (1146 < X < 1380) = 0.95

Thus, the number of chocolate chips in a bag that make up the middle 95​% of bags are [1146, 1380].

(c)

The inter-quartile range of the normal distribution is:

IQR = 1.349 <em>σ</em>

Compute the inter-quartile range of the number of chocolate chips in a bag of chocolate chip​ cookies as follows:

IQR = 1.349 <em>σ</em>

      = 1.349 × 117

      = 157.833

Thus, the inter-quartile range of the number of chocolate chips in a bag of chocolate chip​ cookies is 157.83.

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