An exam consists of 44 multiple-choice questions. Each question has a choice of five answers, only one of which is correct. For each correct answer, a candidate gets 1 mark, and no penalty is applied for getting an incorrect answer. A particular candidate answers each question purely by guess-work.

Using Normal approximation to Binomial distribution with continuity correction, what is the estimated probability this student obtains a score greater than or equal to 10?

Respuesta :

Answer:

0.3960

Step-by-step explanation:

X - no of questions answered correct is binomial since each question is independent of the other and there are two outcomes

p = Prob of any one question right = 0.2  (1/5)

n = 44

Normal approximation would be mean = np = 8.8 and Variance = npq = 7.04

Std dev = [tex]\sqrt{7.04} \\=2.65335[/tex]

X is N(8.8,2.6534)

Or Z = [tex]\frac{x-8.8}{2.6534}[/tex]

Since we approximate discrete to continuous continuity correction is to be applied

[tex]x\geq 10[/tex] means x≥9.5

P(X≥9.5) = 0.3960

Using the normal approximation to the binomial, it is found that there is a 0.3959 = 39.59% probability this student obtains a score greater than or equal to 10.

In a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

  • It measures how many standard deviations the measure is from the mean.  
  • After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.
  • The binomial distribution is the probability of x successes on n trials, with p probability of a success on each trial. It can be approximated to the normal distribution with [tex]\mu = np, \sigma = \sqrt{np(1-p)}[/tex].

In this problem:

  • There are 44 questions, hence [tex]n = 44[/tex].
  • Each question has five options, one of which are corrected, and since they are answered by guess-work, [tex]p = \frac{1}{5} = 0.2[/tex].

The mean and the standard deviation for the approximation are:

[tex]\mu = np = 44(0.2) = 8.8[/tex]

[tex]\sigma = \sqrt{np(1 - p)} = \sqrt{44(0.2)(0.8)} = 2.6533[/tex]

The probability that the score is of at least 10, using continuity correction, is [tex]P(X \geq 10 - 0.5) = P(X \geq 9.5)[/tex], which is 1 subtracted by the p-value of Z = 9.5. Hence:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{9.5 - 8.8}{2.6533}[/tex]

[tex]Z = 0.264[/tex]

[tex]Z = 0.264[/tex] has a p-value of 0.6041.

1 - 0.6041 = 0.3959.

0.3959 = 39.59% probability this student obtains a score greater than or equal to 10.

A similar problem is given at https://brainly.com/question/24261244