Probability Distribution of Bedrooms: 1022386

Part (a) Probability distribution for the number of bedrooms

Probability Distribution of Bedrooms
Number of BedroomsFrequencyP(X)
2240.229
3260.248
4260.248
5110.105
6140.133
720.019
820.019
 105 

Part (b) Mean of this distribution.

Bedrooms
Mean3.8

Part (c) The standard deviation of this distribution

Bedrooms
Standard Deviation1.502561915

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.