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Statistics, EXT1 S1 2025 HSC 4 MC

A Bernoulli random variable \(X\) has probability distribution

\(P(x)=\dfrac{x+1}{3}\)  for  \(x=0,1\).

What are the mean and variance of \(X\) ?

  1. \(E(X)=\dfrac{1}{3}, \quad \operatorname{Var}(X)=\dfrac{2}{9}\)
  2. \(E(X)=\dfrac{1}{3}, \quad \operatorname{Var}(X)=\dfrac{2}{3}\)
  3. \(E(X)=\dfrac{2}{3}, \quad \operatorname{Var}(X)=\dfrac{2}{9}\)
  4. \(E(X)=\dfrac{2}{3}, \quad \operatorname{Var}(X)=\dfrac{2}{3}\)
Show Answers Only

\(C\)

Show Worked Solution

\(P(0)=\dfrac{1}{3}, \ P(1)=\dfrac{2}{3} \)

\(E(X) = \dfrac{1}{3} \times 0 + \dfrac{2}{3} \times 1 = \dfrac{2}{3}\)

\(E(X^2) = \dfrac{1}{3} \times 0^2 + \dfrac{2}{3} \times 1^2 = \dfrac{2}{3} \)

\(\text{Var}(X) = E(X^2)-E(X)^2 = \dfrac{2}{3}-\dfrac{4}{9}=\dfrac{2}{9} \)

\(\Rightarrow C\)

Filed Under: Statistics and Binomial Distributions (Ext1) Tagged With: Band 4, smc-1199-10-Calculate E(X), smc-1199-20-Calculate Var(X)/Std Dev

Statistics, EXT1 S1 2020 HSC 12b

When a particular biased coin is tossed, the probability of obtaining a head is `3/5`.

This coin is tossed 100 times.

Let `X` be the random variable representing the number of heads obtained. This random variable will have a binomial distribution.

  1. Find the expected value, `E(X)`.  (1 mark)

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  2. By finding the variance, `text(Var)(X)`, show that the standard deviation of `X` is approximately 5.  (1 mark)

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  3. By using a normal approximation, find the approximate probability that `X` is between 55 and 65.  (1 mark)

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Show Answers Only
  1. `60`
  2. `text(See Worked Solutions)`
  3. `68text(%)`
Show Worked Solution

i.   `X = text(number of heads)`

`X\ ~\ text(Bin) (n, p)\ ~\ text(Bin) (100, 3/5)`

`E(X)` `= np`
  `= 100 xx 3/5`
  `= 60`

 

ii.    `text(Var)(X)` `= np(1 – p)`
    `= 60 xx 2/5`
    `= 24`

 

`sigma(x)` `= sqrt24`
  `~~ 5`

 

iii.    `P(55 <= x <=65)` `~~ P(−1 <= z <= 1)`
    `~~ 68text(%)`

Filed Under: Normal Approximations of Sample Proportions (Ext1), Statistics and Binomial Distributions (Ext1) Tagged With: Band 2, Band 3, Band 4, smc-1085-20-z-score intervals, smc-1199-10-Calculate E(X), smc-1199-20-Calculate Var(X)/Std Dev

Statistics, EXT1 S1 EQ-Bank 10

Four cards are placed face down on a table. The cards are made up of a Jack, Queen, King and Ace.

A gambler bets that she will choose the Queen in a random pick of one of the cards.

If this process is repeated 7 times, express the gambler's success as a Bernoulli random variable and calculate

  1. the mean.  (1 mark)

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  2. the variance.  (1 mark)

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Show Answers Only
  1. `7/4`
  2. `21/16`
Show Worked Solution

i.     `text(Let)\ \ X = text(number of Queens chosen)`

`X\ ~\ text(Bin) (7,1/4)`

`E(X)` `=np`
  `= 7 xx 1/4`
  `=7/4`

 

ii.   `text(Var)(X)` `= np(1-p)`
    `=7/4(1-1/4)`
    `= 21/16`

Filed Under: Statistics and Binomial Distributions (Ext1) Tagged With: Band 3, Band 4, smc-1199-10-Calculate E(X), smc-1199-20-Calculate Var(X)/Std Dev

Statistics, EXT1 S1 EQ-Bank 13

On average, batsmen playing cricket in a T20 competition play a scoring shot two out of every three balls.

In a regular season, a total of 1200 overs that each contain six balls, are bowled.

Estimate how many overs would have at least five scoring shots.  (3 marks)

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Show Answers Only

`421`

Show Worked Solution

`text(Let)\ \ X = text(number of scoring shots in a six ball over)`

`X\ ~\ text(Bin) (6, 2/3)`

`P(X >= 5)` `= P(X = 5) + P(X = 6)`
  `=\ ^6 C_5 ⋅ (2/3)^5 (1/3) + \ ^6 C_6 ⋅ (2/3)^6`
  `= 64/243 + 64/729`
  `= 256/729`

 

`text(Let)\ \ Y=\ text(number of overs with at least 5 scoring shots)`

`Y\ ~\ text(Bin)(1200, 256/729)`

`E(Y)` `=np`  
  `=1200 xx 256/729`  
  `=421.39…`  
  `=421\ \ text{(nearest over)}`  

Filed Under: Statistics and Binomial Distributions (Ext1) Tagged With: Band 4, smc-1199-10-Calculate E(X)

Statistics, EXT1 S1 SM-Bank 4

In an experiment, a pair of dice are rolled 70 times.

A success is recorded if the sum of the dice roll is 5 or less.

  1. What is the mean of this binomial distribution?

     

    Give your answer to one decimal place.  (3 marks)

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  2. What is the standard deviation?

     

    Give your answer to one decimal place.  (1 mark)

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Show Answers Only
  1. `19.4`
  2. `3.7\ \ (text(to 1 d.p.))`
Show Worked Solution

i.   `text(Array of possible roll totals:)`

STRATEGY: A table (or array) can be a very efficient and error minimising strategy in questions like this.

`P(5\ text(or less)) = 10/36 = 5/18`

`text(Let)\ X =\ text(number of rolls) <= 5`

`X\ ~\ text(Bin)(70, 5/18)`

`E(X)` `= np`
  `= 70 xx 5/18`
  `= 19.4`

 

ii.    `text(Var)(X)` `= np(1 – p)`
  `sigma^2` `= 70 xx 5/18(1 – 5/18)`
    `= 14.043`
  `:. sigma` `= 3.7\ \ (text(to 1 d.p.))`

Filed Under: Statistics and Binomial Distributions (Ext1) Tagged With: Band 4, smc-1199-10-Calculate E(X), smc-1199-20-Calculate Var(X)/Std Dev

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