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notsponge [240]
3 years ago
15

a 0.600 kg dynamics trolley has 1.5 kg load added. It is launched with a force of 10.n what is the acceleration

Computers and Technology
1 answer:
Anastaziya [24]3 years ago
7 0

Answer:

acceleration = 4.76 m/s²

Explanation:

Given that"

the mass of the dynamic trolley = 0.6 kg

the mass of the load  = 1.5 kg

total mass = (0.6 + 1.5) kg = 2.1 kg

the force = 10 N

Thus;

using the formula of force which is;

Force = mass × acceleration

10 = 2.1  × acceleration

acceleration = 10/2.1

acceleration = 4.76 m/s²

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A computer retail store has 15 personal computers in stock. A buyer wants to purchase 3 of them. Unknown to either the retail st
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Answer:

a. 1365 ways

b. Probability = 0.4096

c. Probability = 0.5904

Explanation:

Given

PCs = 15

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^nC_r = \frac{n!}{(n-r)!r!}

Where n = 15\ and\ r = 4

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Solving (b): The probability that exactly 1 will be defective (from the selected 4)

First, we calculate the probability of a PC being defective (p) and probability of a PC not being defective (q)

<em>From the given parameters; 3 out of 15 is detective;</em>

So;

p = 3/15

p = 0.2

q = 1 - p

q = 1 - 0.2

q = 0.8

Solving further using binomial;

(p + q)^n = p^n + ^nC_1p^{n-1}q + ^nC_2p^{n-2}q^2 + .....+q^n

Where n = 4

For the probability that exactly 1 out of 4 will be defective, we make use of

Probability =  ^nC_3pq^3

Substitute 4 for n, 0.2 for p and 0.8 for q

Probability =  ^4C_3 * 0.2 * 0.8^3

Probability =  \frac{4!}{3!1!} * 0.2 * 0.8^3

Probability = 4 * 0.2 * 0.8^3

Probability = 0.4096

Solving (c): Probability that at least one is defective;

In probability, opposite probability sums to 1;

Hence;

<em>Probability that at least one is defective + Probability that at none is defective = 1</em>

Probability that none is defective is calculated as thus;

Probability =  q^n

Substitute 4 for n and 0.8 for q

Probability =  0.8^4

Probability = 0.4096

Substitute 0.4096 for Probability that at none is defective

Probability that at least one is defective + 0.4096= 1

Collect Like Terms

Probability = 1 - 0.4096

Probability = 0.5904

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