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Dennis_Churaev [7]
4 years ago
13

1. A recent study revealed that 45% of business travelers plan their own business trips. The study is to be replicated with a sa

mple of 12 frequent business travels. a. What is the probability exactly 5 travelers plan their own trips
Mathematics
1 answer:
Sindrei [870]4 years ago
4 0

Answer:

The  probability is  P(X =  5) = 0.222

Step-by-step explanation:

From the question we are told that

   The  proportion of business travelers that plan their own business trip is p =  0.45

   The  sample  size is  n  = 12

    The  random number considered is  x =  5

     

Generally the  proportion of business travelers that do not  plan their own business trip is mathematically evaluated as

      q =  1- p

=>   q =  1-0.45

=>    q =  0.55

 This  can study can be said to follow binomial distribution as there is only two outcomes

So the probability exactly 5 travelers plan their own trips is mathematically represented as

     P(X =  5) =  ^{12} C_5  *  p^5 *  q^{12- 5 }

Generally using a combination calculator  

      ^{12} C_5  =  792

So

    P(X =  5) = 792 *  (0.45)^5 *  (0.45)^{12- 5 }

    P(X =  5) = 0.222

   

   

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  5

Step-by-step explanation:

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4 0
3 years ago
The table shows five transactions and the resulting account balance in a bank account, except some numbers are missing. Fill the
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Step-by-step explanation:

4 0
3 years ago
In a certain store, the regular price of a refrigerator is$600. How much money is saved by buying this refrigeratorat 20 percent
Ira Lisetskai [31]

Correct option is A. Money saved is  ′ $6 ′ .

Given

Regular price of the refrigerator = $600

i) Buying the refrigerator at 20 percent off regular price

Final Discount in this case = 20% (Regular price of the refrigerator)

= 20 / 100 × 600

​= $120

ii)  Buying it on sale at 10 percent off regular price and an additional 10 percent off sale price

Discount for the sale = 10% (Regular price of the refrigerator)

=  10/100  × $600

= $60

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= $600 − $60

= $540

Final Discount in this case = 10% (Sale price of the refrigerator)

= 10/100​  × $540

= $54

Money saved if we buy as (case−i) = (Final Discount in (case.i)) − (Final Discount in (case.ii))

= $60 − $54

= $6

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4 0
1 year ago
Suppose there are 4 defective batteries in a drawer with 10 batteries in it. A sample of 3 is taken at random without replacemen
SSSSS [86.1K]

Answer:

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

3 0
3 years ago
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