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following data represent the number of years

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Assignment Questions:

Question 1

  1. The following data represent the number of years patients survived after being diagnosed with terminal cancer:

0.4, 0.5, 0.6, 0.6, 0.6, 0.8, 0.8, 0.9, 0.9, 0.9,

1.2, 1.2, 1.3, 1.4, 2.1, 2.4, 2.5, 4.0, 4.5, 4.6

Stem

leaf

  1. Construct a stem-and-leaf display

0 4, 5, 6, 6, 6, 8, 8, 9, 9, 9

1 2, 2, 3, 4

2 1, 4, 5

4 0, 5, 6

  1. Supposedly you are inserting the above stem-and-leaf display in a report to be submitted to management, write a short comment on the diagram.

Answers: This chart shows that half of the patients are diagnosed as Advanced cancer, and survival

rate is less than one year.

Secondly, the diagnosed patients can survive for 4 years or longer.

  1. The following data shows the weight (in kg) of 13 crabs found in a restaurant on a particular evening:

3, 4, 1.2, 1.7, 2.4, 2.4, 1.1, 0.9, 0.8, 1.2, 1.6, 0.7, 1.2, 1.3

  1. Compute the mean and median

n

0.7, 0.8, 0.9, 1.1, 1.2, 1.2, 1.2, 1.3 1.6, 1.7, 2.4, 2.4, 3.4

n

2

1

i

I =1

Mean = X = X + X + + X / n

= 0.7 + 0.8 + 0.9 + 1.1 + 1.2 + 1.2 + 1.2 + 1.3 + 1.6 + 1.7 + 2.4 + 2.4 + 3.4 / 13

= 1.531

Median = n + 1 / 2 = 13 + 1 / 2 = 7 (average of1.2).

  1. Determine the shape of the distribution based on the sample data. Explain your conclusion.

Answer: The mean is more than the median, and it is a right-skewed distribution and the diagram

contains a long curve tail on the right side.

Question 2

  1. It is noted that 8% of Kaplan students are left handed. If 20 (TWENTY) students are randomly selected,

calculate the

  1. Probability that none of them are left-handed,

n – x

x

n = 20 x = 0 π = 0.08

20 – 0

0

P (x) = nCx (π) (1 – π)

P (x = 0) = 20C0 (0.08) (1 – 0.08)

= 0.1887

  1. Probability that at most 2 are left-handed,

20 – 2

2

20-1

1

20 – 0

0

P (x >2) = P (x = 0) + P (x = 1) + P (x = 2)

= 20C0 (0.08) (1 – 0.08) + 20C1 (0.08) (1 – 0.08) + 20C2 (0.08) (1 – 0.08)

= 0.7879

  1. Standard deviation for the number of left-handed students

μ = Mean = nπ

= 20 (0.08)

= 1.6

Variance = nπ(1 – π)

= 20 x 0.08 x (1 – 0.08)

= 1.

SD = √nπ(1 – π472)

= √1.472

= 1.213

  1. If 50 (FIFTY) classes of 20 (TWENTY) students are randomly selected, what is the probability that 10 (TEN)

classes have no left-handed students?

P (X = 0) = P (no left-handed students) = 0.1887

50 – 10

10

P (have left-handed students) = 1- 0.1887 = 0.8113

P (10 class have no left-handed students) = 50C10 (0.1887) (1 – 0.08)

= 0.137

Question 3

  1. Superior Construction Pte Ltd is a successful company dealing with many major projects in Singapore.

Recently, it has submitted its biddings for two major Government projects. Project A worth about $120 million and the company believes it has 40% chance of securing the project. Project B worth $1.8 billion and there is 30% chance the company can win the project. Both projects are independent of each other. What is the probability that the company:

  1. will secure Project A or B but not both

P (A) = 40% = 0.4 P (A’) = 60% = 0.6 (lose)

P (B) = 30% = 0.3 P (B’) = 70% = 0.7 (lose)

P (A or B but not both) = P (A) x P(B’) + P (A’) x P(B)

= 0.4 x 0.7 + 0.6 x 0.3

= 0.46

  1. will not secure Project A or will not secure Project B

P (not secure Project A or not secure Project B) = 1- P (Project A and Project B)

= 1 – (0.4 x 0.3)

= 1- 0.12

= 0.88

  1. Do you agree that “if two events are mutually exclusive then these two events will be independent”?

Why?

Answer: Disagree.

Project A and Project B can happen at the same time, and depend on each other, not mutually

Exclusive

  1. Provide one business-related example each, with explanation, for mutually exclusive and independent

events.

Answer: Example of events mutually exclusive: toss a coin . The result of flipping one of the “Head” or

“Tail” coin Because both results may not occur simultaneously.

Example of independent events: A person can throwing a coin and be an engineer. Because

both can be concurrent.

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