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Pani-rosa [81]
3 years ago
6

A car traveling at 32 m/s starts to decelerate steadily. It comes to a complete stop in 14 seconds. What is its acceleration?

Mathematics
2 answers:
Andrew [12]3 years ago
5 0

Hello!

A car traveling at 32 m/s starts to decelerate steadily. It comes to a complete stop in 14 seconds. What is its acceleration?

We have the following data:

Vi (initial velocity) = 32 m/s (starts)

Vf (final velocity) = 0 m/s (stop)

t (time) = 14 s

a (acceleration) = ? (in m/s²)

We apply the data to the formula of the hourly function of the velocity, let us see:

V_f = V_i + a*t

0 = 32 + a*14

- 32 = 14\:a

14\:a = - 32

a = \dfrac{-32}{14}

\boxed{\boxed{a = - 2.28\:m/s^2}}\Longrightarrow(the\:car\:slows\:down)\:\:\:\:\:\:\bf\green{\checkmark}

Answer:

The acceleration is -2.28 m/s² (decelerate)

________________________________

\bf\red{I\:Hope\:this\:helps,\:greetings ...\:Dexteright02!}

valentina_108 [34]3 years ago
3 0
We have:

Initial velocity (u) = 32 m/s
Final velocity (v) = 0 m/s ⇒ The value is zero because the car comes to stationary position when it stops
Time = 14 seconds

We can use one of the constant acceleration equation:
v=u+at where a is the acceleration

0=32+14a
32=-14a
a=- \frac{32}{14}=-2.3m/s^{-2}

The acceleration is 2.3 m/s⁻² and the negative sign shows deceleration
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Normal probability distribution

Problems of normally distributed samples are 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.

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For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question, we have that:

\mu = 8.4, \sigma = 1.8, n = 40, s = \frac{1.8}{\sqrt{40}} = 0.2846

Find the probability that their mean rebuild time exceeds 9.1 hours.

This is 1 subtracted by the pvalue of Z when X = 9.1. So

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

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Z = 2.46

Z = 2.46 has a pvalue of 0.9931

1 - 0.9931 = 0.0069

So the answer is B.

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