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X~N(t,4). Find P(X=t).

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 / Transfer#Your turn

X~N(t,4). Find P(X=t).

t=13t=13
  • 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
Express the event with a conditional probability or a disjoint partition.
Hint 2
A continuous distribution assigns zero mass to a point.
Worked solution
  1. Express the event with a conditional probability or a disjoint partition.

  2. Apply the stated relation and retain its conditions.

    P(X=μ)=0P(X=\mu)=0
  3. The density is largest at the mean, but point probability is still zero.

The requested value is 0.

Checks and common pitfalls: The density is largest at the mean, but point probability is still zero.

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.

Curriculum and source notes ↗