Part (a) Probability distribution for the number of bedrooms
Probability Distribution of Bedrooms | ||
Number of Bedrooms | Frequency | P(X) |
2 | 24 | 0.229 |
3 | 26 | 0.248 |
4 | 26 | 0.248 |
5 | 11 | 0.105 |
6 | 14 | 0.133 |
7 | 2 | 0.019 |
8 | 2 | 0.019 |
105 |
Part (b) Mean of this distribution.
Bedrooms | |
Mean | 3.8 |
Part (c) The standard deviation of this distribution
Bedrooms | |
Standard Deviation | 1.502561915 |
Question 7
Part (a) Probability that all six arrive within two days (P (x=6))
P(x=6) = n Cx πx (1- π) n-x
=6C6 (0.95)6 (1-0.95)6-6
= 0.735 (Using binomial probability distribution table)
Part (b): Probability that exactly five arrive within two days (P (x=5))
P(x=5) = n Cx πx (1- π) n-x
=6C5 (0.95)5 (1-0.95)6-5
= 0.232 (Using binomial probability distribution table)
Part (c): The mean number of letters that will arrive within two days
μ=nπ
=6*0.95
=5.7
Part (d) The variance that numbers of letters that will arrive within two days
σ²= nπ (1- π)
=6*0.95*(1-0.5)
=0.285
Standard deviation will be given by
σ=√ σ²2
=√0.285
=0.534
Question 8
μ = 221.10, σ = 47.11, x = 280
z = (x – μ)/σ = (280 – 221.10)/47.11 = 1.2503
P(x > $280) = P(z > 1.2503) = 0.1056
Number of homes selling for more than $280 = 105 * 0.1056 = 11.09
Actual number of homes selling for more than $280 = 14
The normal distribution does not give a good approximation.