Probability Distribution and Statistics Management
University: University of Cambridge
PROBLEM 1
A. Analysing mean value of hotel room rate
|
Mean |
159.05 |
B. Analysing median of hotel room rate
|
Median |
161 |
C. Analysing mode of hotel room rate
|
Mode |
167 |
D. Analysing First quartile of hotel room rate along with its concept
|
1st Quartile |
120 |
This is the 25% of the data set or variables which is lower half of the same.
E. Analysing Third quartile of hotel room rate along with its concept
|
3rd Quartile |
120 |
This is the 75% of variable which is upper half of database.
PROBLEM 2
A. Determining the probability of selecting lowest or second lowest cost fund
|
FUND |
Undergraduates |
MBA |
Combined |
|
Lowest cost fund |
1/5 |
1/5 |
1/5 |
|
Second lowest cost fund |
3/8 |
2/5 |
2/5 |
B. Probability of analysing the lowest cost funds and is an undergraduate
|
FUND |
Undergraduates |
|
Lowest cost fund |
1/5 |
|
Undergraduate |
1/2 |
|
Probability of outcomes |
2/3 |
C. Probability of lowest cost fund or is an undergraduate
|
FUND |
Undergraduates |
|
Lowest cost fund |
1/5 |
|
Undergraduate |
1/2 |
D. Analysing the probability for highest cost fund in undergraduate students
|
FUND |
Undergraduates |
|
Highest cost fund |
1/4 |
PROBLEM 3
A. Probability workers take public transportation daily
Considering the Binomial random variable concept
P(X =3)
= 10!/ 3!(10-3)! 0.3^3(1-0.3)^10-3
=0.267
Moreover, X is a Binomial random variable
P= 0.3 and N = 10.
B. Probability of at least 3 workers take public transportation daily
| P(X ≥ 3) | =1- P(X = 0) – P(X = 1) – P(X = 2) |
| P(X = 0) | = 10!/0! (10 – 0)! |
| 0.3^0(1 – 0.3)^10-0 | |
| =0.0282 | |
| P(X = 1) | = 10!/1! (10 – 1)! |
| 0.3^1(1 – 0.3)^10-1 | |
| =0.1211 | |
| P(X = 2) | = 10!/2! (10 – 2)! |
| 0.3^2(1 – 0.3)^10-2 | |
| =0.2335 | |
| P(X = 0)+ P(X = 1)+ P(X = 2) | 0.0282+ 0.1211+ 0.2335 |
| =0.3828 | |
| =1- 0.3828 | |
| = 0.6172 |
PROBLEM 4
A. Measuring the mean and standard deviation
| Mean | 199.69 |
| standard deviation | 25.02 |
B. Probability of early morning trading will be less than 180 million
Z= (X - µ)/ ðž¼
|
n |
13 |
|
Mean |
199.69 |
|
standard deviation |
25.02 |
|
Z= |
-7.461630695 |
C. Probability of early morning trading more than 230 million
P(230<x)
= P (1.1639 < Z)
= 0.122
PROBLEM 5
FVN = PV (1+r) N
|
Particulars |
Figures |
|
Present Value (C0 ) |
500000 |
|
Rate per Period (r) |
7% |
|
Periods (n) |
10 |
|
Future value |
983575.68 |
PROBLEM 6
FVN = PV (1+rsm) mN
= $100000(1+0.074) 4(1)
= $107,185.90
PROBLEM 7
FVN=A [(1+r) N−1r]
=$20,000[(1+0.07)20−10.07]
=$819,909.85
PROBLEM 8
| Particulars | Figures |
| Future value | 75000 |
| Interest rate | 6% |
| Periods (n) | 5 |
| Present value | 56044.36 |
PROBLEM 9
A. Payback period
| Year | Project A | Cumulative cash inflow of project A | Project B | Cumulative cash inflow of project B |
| 1 | 1000 | 1000 | 200 | 200 |
| 2 | 800 | 1800 | 600 | 800 |
| 3 | 600 | 2400 | 800 | 1600 |
| 4 | 200 | 2600 | 1200 | 2800 |
Project A: 2 + 200 / 600
= 2.3 or 2 years and 3 months
Project B: 3 + 400 / 1200
= 3.3 or 3 years and 3 months
B & C. NPV
| Year | Project A | PV factor @ 10% | Discounted cash flow of project A | Project B | Discounted cash flow of project B |
| 0 | -2000 | -2000 | |||
| 1 | 1000 | 0.909 | 909 | 200 | 182 |
| 2 | 800 | 0.826 | 661 | 600 | 496 |
| 3 | 600 | 0.751 | 451 | 800 | 601 |
| 4 | 200 | 0.683 | 137 | 1200 | 820 |
| Total discounted cash inflow | 2158 | 2098 | |||
| Less: initial investment | 2000 | 2000 | |||
| NPV | 158 | 98 |
D. Justification
As per making investment in both projects on which Project A needed to be selected as it has presented the favourable or most profitable outcomes. NPV value of Project A is 158 while Project B has 98.
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