Example. There are four cards with a number I on them, five cards with a number 2, and one card with a number 3 in a box and you choose one card from the box. Let X be the random variable representing the number on the chosen card. • The probability distribution can be represented as a table below: X Probability 1 P(X=1) = 4/10 = 2/5 2 P(X=2) = 5/10 = 1/2 3 %3D P(X=3) = 1/10 %3D • How would you answer to the question of what value of X you expect as the result? We answer this question with the weighted average of values of X, Er• P(x) We call it the mean or the expected value of X and denote it by µ or µx to specify the variable. Find the standard deviation of X of the example: • We also can ask about the distribution of the values of X considering their probabilities: what is the standard deviation of X? We find the standard deviation using the formula, νΣ- Ρ() and denote it by σ or Σχ. Find the standard deviation of X of the example: 2.

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2. Example. There are four cards with a number 1 on them, five cards with a number 2, and one card
with a number 3 in a box and you choose one card from the box. Let X be the random variable
representing the number on the chosen card.
2
• The probability distribution can be represented as a table below:
Probability
1 P(X=1) = 4/10 = 2/5
2 P(X=2) = 5/10 = 1/2
Р(X-3) — 1/10
3
How would you answer to the question of what value of X you expect as the result? We answer
this question with the weighted average of values of X, Ex· P(x)
We call it the mean or the expected value of X and denote it by u or µx to specify the variable.
Find the standard deviation of X of the example:
• We also can ask about the distribution of the values of X considering their probabilities:
what is the standard deviation of X? We find the standard deviation using the formula,
νΣ(α-μ) Ρ(X) and denote it by σ or Σχ.
Find the standard deviation of X of the example:
Compare the example with the mean and the standard deviation of the data below:
Data Frequency | Relative Frequency
4/10 = 2/5
5/10 = 1/2
1/10
• Read Example 4.4, 4.5, and 4.6.
4
3
1
Transcribed Image Text:2. Example. There are four cards with a number 1 on them, five cards with a number 2, and one card with a number 3 in a box and you choose one card from the box. Let X be the random variable representing the number on the chosen card. 2 • The probability distribution can be represented as a table below: Probability 1 P(X=1) = 4/10 = 2/5 2 P(X=2) = 5/10 = 1/2 Р(X-3) — 1/10 3 How would you answer to the question of what value of X you expect as the result? We answer this question with the weighted average of values of X, Ex· P(x) We call it the mean or the expected value of X and denote it by u or µx to specify the variable. Find the standard deviation of X of the example: • We also can ask about the distribution of the values of X considering their probabilities: what is the standard deviation of X? We find the standard deviation using the formula, νΣ(α-μ) Ρ(X) and denote it by σ or Σχ. Find the standard deviation of X of the example: Compare the example with the mean and the standard deviation of the data below: Data Frequency | Relative Frequency 4/10 = 2/5 5/10 = 1/2 1/10 • Read Example 4.4, 4.5, and 4.6. 4 3 1
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