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natita [175]
3 years ago
10

2.10 Guessing on an exam: In a multiple choice exam, there are 6 questions and 4 choices for each question (a, b, c, d). Nancy h

as not studied for the exam at all and decides to randomly guess the answers. What is the probability that:
Mathematics
1 answer:
ololo11 [35]3 years ago
7 0

Answer:

a) p = (3/4)^5 *(1/4) =0.0593

b) P(X=6) = (6C6) (0.25)^6 (1-0.25)^{6-6}= 0.000244

c) P(X \geq 1)

And we can use the complement rule like this:

P(X \geq 1) = 1-P(X

P(X=0) = (6C0) (0.25)^0 (1-0.25)^{6-0}= 0.17798

And replacing we have:

P(X \geq 1) = 1-P(X

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: P(A)+P(A') =1

We can model the number of correct questions answered with a binomial distribution X \sim Binom(n = 6, p = 1/4=0.25)

Solution to the problem

Assuming the following questions:

a) the first question she gets right is the 6th question?  

For this case we want the first 5 questions incorrect and the last one correct, assuming independence we have:

p = (3/4)^5 *(1/4) =0.0593

(b) she gets all of the questions right?

For this case we want all the questions right so then we want this:

P(X=6) = (6C6) (0.25)^6 (1-0.25)^{6-6}= 0.000244

(c) she gets at least one question right?

For this case we want this probability:

P(X \geq 1)

And we can use the complement rule like this:

P(X \geq 1) = 1-P(X

P(X=0) = (6C0) (0.25)^0 (1-0.25)^{6-0}= 0.17798

And replacing we have:

P(X \geq 1) = 1-P(X

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Dennis went cross country skiing for 6 hours on Saturday. He skied 20 miles uphill and then 20 miles downhill, returning to his
yulyashka [42]

Answer: Downhill:10mph   Uphill:5mph

Step-by-step explanation:  

We are looking for Dennis’s downhill speed.

Let  

r=

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His uphill speed is  

5

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Let  

r−5=

Dennis’s uphill speed.

Enter the rates into the chart. The distance is the same in both directions,  

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Since  

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and get  

t=

D

r

.

We divide the distance by the rate in each row and place the expression in the time column.

Rate

×

Time

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r

20

r

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Uphill

r−5

20

r−5

20

 

Write a word sentence about the time.

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6

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Translate the sentence to get the equation.

20

r

+

20

r−5

=6

Solve.

20(r−5)+20(r)

40r−100

0

0

0

=

=

=

=

=

6(r)(r−5)

6

r

2

−30r

6

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2

−70r+100

2(3

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2(3r−5)(r−10)

Use the Zero Product Property.

(r−10)=0

r=10

(3r−5)=0

r=

5

3

The solution  

5

3

is unreasonable because  

5

3

−5=−

10

3

and his uphill speed cannot be negative. So, Dennis's downhill speed is  

10

mph and his uphill speed is  

10−5=5

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Check. Is  

10

mph a reasonable speed for biking downhill? Yes.

Downhill:

10 mph

5 mph⋅

20 miles

5 mph

=20 miles

Uphill:

10−5=5 mph

(10−5) mph⋅

20 miles

10−5 mph

=20 miles

The total time traveled was  

6

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Dennis’ downhill speed was  

10

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5

mph.

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