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X~N(t,4). Find its standard deviation.

Read the idea, work independently, then explain what changed.

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高三選擇性必修 第三册(A版).pdf · 7.5 · PDF 88 / printed page 83

Revisit first: Numerical characteristics of random variables

TOPIC 01

Normal distribution

Standardise a normal variable and interpret supplied table probabilities and symmetry.

What you will be able to explain

  • Standardise a normal variable and interpret supplied table probabilities and symmetry.
  • Justify the method and check the conditions in a new situation.

Try it. Leave your reasoning visible.

Use one hint at a time. A correction explains what changed, not just the final answer.

01 / Foundation#Worked example

X~N(t,4). Find its standard deviation.

t=2t=2
  • σ>0; probability table values are supplied in each task. A continuous variable has zero probability at a single point.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
List the possible values and probabilities before computing moments.
Hint 2
Use this intermediate relation.
σ=σ2\sigma=\sqrt{\sigma^2}
Worked solution
  1. List the possible values and probabilities before computing moments.

  2. Apply the stated relation and retain its conditions.

    σ=4=2\sigma=\sqrt4=2
  3. The variance 4 has square root 2.

The requested value is 2.

Checks and common pitfalls: The variance 4 has square root 2.

Think first. Reveal a hint when the class is ready.

Focus on one question

Teacher preparation and assessment

Question sequence

  • Standardise a normal variable and interpret supplied table probabilities and symmetry.
  • Which condition is essential in normal distribution?
  • Does shifting the mean change the probability within one standard deviation?

Board plan

  • Defining relation: Standardise a normal variable and interpret supplied table probabilities and symmetry.
    Z=(X−μ)/σZ=(X-\mu)/\sigma
  • Conditions: σ>0; probability table values are supplied in each task. A continuous variable has zero probability at a single point.

Anticipated thinking

  • The second parameter in N(μ,σ²) is variance, not standard deviation.

Assessment checklist

  • 1 mark: choose the correct representation and conditions.
  • 1 mark: establish the intermediate relation.
  • 1 mark: complete a connected calculation or proof.
  • 1 mark: interpret and check the conclusion.

No sign-in. Work stays in this browser. Export before clearing browser data. Written reasoning is assessed with a checklist.

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