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shutvik [7]
3 years ago
6

Consider a set of cards that has four cards labeled 1, 2, 3, and 4. Suppose you pick two cards, without replacement, to obtain t

he mean of the two numbers that are drawn from the set. Which of the following tables shows the sampling distribution?
SAT
1 answer:
Phantasy [73]3 years ago
3 0

Answer:

\begin{array}{cccccc}{Mean} & {1.5} & {2} & {2.5} & {3} & {3.5}\ \\ {Probability} & {\frac{1}{6}} & {\frac{1}{6}} & {\frac{1}{3}} & {\frac{1}{6}} & {\frac{1}{6}}\ \end{array}

Explanation:

Given

Cards = \{1,2,3,4\}

Required

The sampling distribution

The possible selection of 2 cards without replacement is as follows:

S = \{(1,2) (1,3) (1,4) (2,1) (2,3) (2,4) (3,1) (3,2) (3,4) (4,1) (4,2) (4,3)\}

Calculate the mean

\begin{array}{cccccccccccc}{Selection} & {(1,2)} & {(1,3)} & {(1,4)} & {(2,1)} & {(2,3)} & {(2,4)}& {(3,1)} & {(3,2)} & {(3,4)} & {(4,1)} & {(4,2)} & {(4,3)} \ \\ {Mean} & {1.5} & {2} & {2.5} & {1.5} & {2.5} & {3} & {2} & {2.5} & {3.5} & {2.5} & {3} & {3.5}\ \end{array}

List out the mean and the respective frequency

1.5 \to 2

2 \to 2

2.5 \to 4

3 \to 2

3.5\to  2

Total \to 12

Calculate the probability of each mean

P(1.5) \to \frac{2}{12} \to \frac{1}{6}\\

P(2) \to \frac{2}{12} \to \frac{1}{6}\\

P(2.5) \to \frac{4}{12} \to \frac{1}{3}\\

P(3) \to \frac{2}{12} \to \frac{1}{6}\\

P(3.5) \to \frac{2}{12} \to \frac{1}{6}

So, the table of sampling distribution is:

\begin{array}{cccccc}{Mean} & {1.5} & {2} & {2.5} & {3} & {3.5}\ \\ {Probability} & {\frac{1}{6}} & {\frac{1}{6}} & {\frac{1}{3}} & {\frac{1}{6}} & {\frac{1}{6}}\ \end{array}

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