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Anni [7]
4 years ago
7

A multiple choice exam has ten questions. Each question has five possible answers, of which one is correct. Suppose that a stude

nt did not study for the exam and, as a result, they guess on every question so that the probability of answering any question correctly is 0.20. 19. What is the probability that the student answers exactly 4 questions correctly
Mathematics
1 answer:
Ber [7]4 years ago
4 0

Answer:

8.81% probability that the student answers exactly 4 questions correctly

Step-by-step explanation:

For each question, there are only two possible outcomes. Either he answers it correctly, or he does not. The probability of answering a question correctly is independent of other questions. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

A multiple choice exam has ten questions.

This means that n = 10

The probability of answering any question correctly is 0.20.

This means that p = 0.2

What is the probability that the student answers exactly 4 questions correctly

This is P(X = 4).

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 4) = C_{10,4}.(0.2)^{4}.(0.8)^{6} = 0.0881

8.81% probability that the student answers exactly 4 questions correctly

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You cant write that as a decimal cus that would equal 7 wich is a whole number
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After an extensive advertising campaign, the manager of a company expects the proportion of potential customers that recognize a
lina2011 [118]

Answer:

Step-by-step explanation:

Hello!

The study variable is:

X: number of customers that recognize a new product out of 120.

There are two possible recordable outcomes for this variable, the customer can either "recognize the new product" or " don't recognize the new product". The number of trials is fixed, assuming that each customer is independent of the others and the probability of success is the same for all customers, p= 0.6, then we can say this variable has a binomial distribution.

The sample proportion obtained is:

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Considering that the sample size is large enough (n≥30) you can apply the Central Limit Theorem and approximate the distribution of the sample proportion to normal: p' ≈ N(p;\sqrt{\frac{p(1-p)}{n} })

The other conditions for this approximation are also met: (n*p)≥5 and (n*q)≥5

The probability of getting the calculated sample proportion, or lower is:

P(X≤0.45)= P(Z≤\frac{0.45-0.6}{\sqrt{\frac{0.6*0.4}{120} } })= P(Z≤-3.35)= 0.000

This type of problem is for the sample proportion.

I hope this helps!

5 0
3 years ago
I don’t get this question
jeyben [28]
What question??? Maybe I can help you.
5 0
3 years ago
A ball is dropped to the ground from a height of 100 meters. It rebounds to a height of 50 meters after that first bounce and 25
Lyrx [107]

Answer:

0.78125 m

Step-by-step explanation:

First term of this geometric series is 50 m, and the common ratio is 1/2.

Thus, a(n) = (50 m)(1/2)^(n-1)

After the 7th bounce, the ball will reach a height of a(7) = (50 m)(1/2)^(7 - 1), or

a(7) = 50 / (2^6) m = 0.78125 m

3 0
3 years ago
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