06.08.2020

Suppose there are 4 defective batteries in a drawer with 10 batteries in it. A sample of 3 is taken at random without replacement. Let X denote the number of defective batteries in the sample. Find the probability that the sample contains a) Exactly one defective battery b) at most one defective battery. c) at least one defective battery.

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24.06.2023, solved by verified expert
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a.) 0.5

b.) 0.66

c.) 0.83

Step-by-step explanation:

As given,

Total Number of Batteries in the drawer = 10

Total Number of defective Batteries in the drawer = 4

⇒Total Number of non - defective Batteries in the drawer = 10 - 4 = 6

Now,

As, a sample of 3 is taken at random without replacement.

a.)

Getting exactly one defective battery means -

1 - from defective battery

2 - from non-defective battery

So,

Getting exactly 1 defective battery = ⁴C₁ × ⁶C₂ =  Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                                                                            = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                                                                            = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                                                                            = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                                                                            = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 = 60

Total Number of possibility = ¹⁰C₃ = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                                                        = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                                                        = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                                                        = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                                                        = 120

So, probability = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

b.)

at most one defective battery :

⇒either the defective battery is 1 or 0

If the defective battery is 1 , then 2 non defective

Possibility  = ⁴C₁ × ⁶C₂ = 60

If the defective battery is 0 , then 3 non defective

Possibility   = ⁴C₀ × ⁶C₃

                   =  Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                   = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                   = 1 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                   = 1× Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                   = 1 × 20 = 20

getting at most 1 defective battery = 60 + 20 = 80

Probability = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

c.)

at least one defective battery :

⇒either the defective battery is 1 or 2 or 3

If the defective battery is 1 , then 2 non defective

Possibility  = ⁴C₁ × ⁶C₂ = 60

If the defective battery is 2 , then 1 non defective

Possibility   = ⁴C₂ × ⁶C₁

                   =  Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                   = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                   = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                   = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                   = 6 × 6 = 36

If the defective battery is 3 , then 0 non defective

Possibility   = ⁴C₃ × ⁶C₀

                   =  Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                   = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

                   = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49 × 1

                   = 4×1 = 4

getting at most 1 defective battery = 60 + 36 + 4 = 100

Probability = Suppose there are 4 defective batteries in a, №17886636, 06.08.2020 20:49

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Mathematics
Step-by-step answer
P Answered by PhD

a.) 0.5

b.) 0.66

c.) 0.83

Step-by-step explanation:

As given,

Total Number of Batteries in the drawer = 10

Total Number of defective Batteries in the drawer = 4

⇒Total Number of non - defective Batteries in the drawer = 10 - 4 = 6

Now,

As, a sample of 3 is taken at random without replacement.

a.)

Getting exactly one defective battery means -

1 - from defective battery

2 - from non-defective battery

So,

Getting exactly 1 defective battery = ⁴C₁ × ⁶C₂ =  \frac{4!}{1! (4 - 1 )!} × \frac{6!}{2! (6 - 2 )!}

                                                                            = \frac{4!}{(3)!} × \frac{6!}{2! (4)!}

                                                                            = \frac{4.3!}{(3)!} × \frac{6.5.4!}{2! (4)!}

                                                                            = 4 × \frac{6.5}{2.1! }

                                                                            = 4 × 15 = 60

Total Number of possibility = ¹⁰C₃ = \frac{10!}{3! (10-3)!}

                                                        = \frac{10!}{3! (7)!}

                                                        = \frac{10.9.8.7!}{3! (7)!}

                                                        = \frac{10.9.8}{3.2.1!}

                                                        = 120

So, probability = \frac{60}{120} = \frac{1}{2} = 0.5

b.)

at most one defective battery :

⇒either the defective battery is 1 or 0

If the defective battery is 1 , then 2 non defective

Possibility  = ⁴C₁ × ⁶C₂ = 60

If the defective battery is 0 , then 3 non defective

Possibility   = ⁴C₀ × ⁶C₃

                   =  \frac{4!}{0! (4 - 0)!} × \frac{6!}{3! (6 - 3)!}

                   = \frac{4!}{(4)!} × \frac{6!}{3! (3)!}

                   = 1 × \frac{6.5.4.3!}{3.2.1! (3)!}

                   = 1× \frac{6.5.4}{3.2.1! }

                   = 1 × 20 = 20

getting at most 1 defective battery = 60 + 20 = 80

Probability = \frac{80}{120} = \frac{8}{12} = 0.66

c.)

at least one defective battery :

⇒either the defective battery is 1 or 2 or 3

If the defective battery is 1 , then 2 non defective

Possibility  = ⁴C₁ × ⁶C₂ = 60

If the defective battery is 2 , then 1 non defective

Possibility   = ⁴C₂ × ⁶C₁

                   =  \frac{4!}{2! (4 - 2)!} × \frac{6!}{1! (6 - 1)!}

                   = \frac{4!}{2! (2)!} × \frac{6!}{1! (5)!}

                   = \frac{4.3.2!}{2! (2)!} × \frac{6.5!}{1! (5)!}

                   = \frac{4.3}{2.1!} × \frac{6}{1}

                   = 6 × 6 = 36

If the defective battery is 3 , then 0 non defective

Possibility   = ⁴C₃ × ⁶C₀

                   =  \frac{4!}{3! (4 - 3)!} × \frac{6!}{0! (6 - 0)!}

                   = \frac{4!}{3! (1)!} × \frac{6!}{(6)!}

                   = \frac{4.3!}{3!} × 1

                   = 4×1 = 4

getting at most 1 defective battery = 60 + 36 + 4 = 100

Probability = \frac{100}{120} = \frac{10}{12} = 0.83

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