A discrete random variable 𝑌 has a cumulative probability distribution as the table shown below.
𝑌 =𝑦 0 1 2 3
𝑃(𝑌 ≤ 𝑦) 5𝑘 10𝑘 11𝑘 12𝑘
(a) Determine the value of 𝑘.
(b) Calculate the expected value of 𝑌.
(c) Calculate the variance and standard deviation of 𝑌.
We can calculate the probability as follows:
y 0 1 2 3
y2 0 1 4 9
P 5k 5k k k
(a) Total probability is always 1.
5k + 5k + k + k = 1
k = 1/12
(b) Expected value = 0 × 5k + 1 × 5k + 2 × k + 3 × k
= 10k = 10/12 = 5/6
(c) Variance = (0 × 5k + 1 × 5k + 4 × k + 9 × k) – (5/6)2
= 18k – 25/36 = 18/12 – 25/36 = 29/36
Standard deviation = (Variance)1/2 = (29/36)1/2 = 0.8975
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