Discrete Random Variables: Question 9

Syllabus 5.4

Multiple choice AS 1 mark

A biased coin is tossed 2020 times. On each toss, the probability of obtaining heads is 0.350.35, independently of any other toss. Let XX be the number of heads obtained in the 2020 tosses, so that XB(20,0.35)X\sim B(20,0.35).

What is Var(X)\mathrm{Var}(X)?

Choose an answer to check it, then compare with the worked solution below.

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Worked solution

Step 1: Identify n and p

XB(20,0.35)X\sim B(20,0.35), so n=20n=20, p=0.35p=0.35, and q=1p=0.65q=1-p=0.65.

Step 2: Apply the variance formula

For a binomial distribution, Var(X)=np(1p)=npq\mathrm{Var}(X)=np(1-p)=npq

Substituting the values: Var(X)=20×0.35×0.65\mathrm{Var}(X)=20\times0.35\times0.65

Compute step by step: 0.35×0.65=0.22750.35\times0.65=0.2275 20×0.2275=4.5520\times0.2275=4.55

So Var(X)=4.55\mathrm{Var}(X)=\boxed{4.55}.

Why the other options are wrong

  • B (77): this is E(X)=np=20×0.35=7E(X)=np=20\times0.35=7, the mean, not the variance. The factor of (1p)(1-p) has been left out entirely.
  • C (2.452.45): this comes from using pp twice, i.e. np2=20×(0.35)2=2.45np^2=20\times(0.35)^2=2.45, instead of np(1p)np(1-p).
  • D (8.458.45): this comes from using (1p)(1-p) twice, i.e. n(1p)2=20×(0.65)2=8.45n(1-p)^2=20\times(0.65)^2=8.45, instead of np(1p)np(1-p).

Final answer

  • Var(X)=4.55\mathrm{Var}(X)=\boxed{4.55}, option A.