Question

In: Statistics and Probability

The distribution of statistics marks of some sandwich students was found to be normal with a...

The distribution of statistics marks of some sandwich students was found to be normal with a mean within a range of 61- 65 and a standard deviation of within a range of 7.8 – 8.6 (1dp). It was found out that there were 348 students who took the course. With an assumed mean and standard deviation, answer the questions that follow: a. If the minimum mark to qualify for an interview was 43. What is the probability that a student selected at random qualified for the interview and what percentage did not qualify? (5marks) b. If the cut-off mark for selection is 48, how many and what percentage of the students were selected? c. How many students scored a mark greater than 54 but less than 78? d. How many students from the group scored a mark greater than 68 but less than 80?

Solutions

Expert Solution

Let the Mean be 63 marks and standard deviation be 8.2 marks

Let X denote the marks obtained by a randomly selected student

n = 348

(a) Qualifying marks = 43

Probability that a student selected at random qualified for the interview = P(X ≥ 43)

= P{Z ≥ (43 - 63)/8.2}

= P(Z > -2.439) = 0.9927

And 0.73% did not qualify

(b) Qualifying marks = 48

Percentage of students that were selected = P(X ≥ 48)

= P{Z ≥ (48 - 63)/8.2}

= P(Z ≥ -1.829)

= 0.9663 = 96.63%

Number of students qualified = 348*0.9663 = 336.27 ≈ 336

(c) Probability that a student scores greater than 54 but less than 78 = P(54 < X < 78)

= P{(54 - 63)/8.2 < Z < (78 - 63)/8.2}

= P(-1.10 < Z < 1.83)

= 0.8307

Thus, the required number of students = 0.8307*348 = 289.08 ≈ 289

(d)

Probability that a student scores greater than 68 but less than 80 = P(68 < X < 80)

= P{(68 - 63)/8.2 < Z < (80 - 63)/8.2}

= P(0.61 < Z < 2.07)

= 0.2517

Thus, the required number of students = 0.2517*348 = 87.6 ≈ 88


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