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Var(X)=2. What is Var(3X+5)?

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 · 7.3 · PDF 67 / printed page 62

Revisit first: Conditions, partitions and posterior probability

Teacher preparation and assessment

40-minute lesson

Minutes	Focus	Teaching and student action
5	Predict	Predict what happens to variance after multiplying all values by −2 and adding 7.
8	Build the idea	Sample response: shift does not affect spread; the scale squares to four.
10	Guided comparison	Sample response: X+1−X=1, so the sum has variance zero.
12	Independent practice and discussion	Compare equal-mean games and audit proposed moments for feasibility.
5	Exit and next step	Exit: distinguish E(X²) from E(X)² and state the independence requirement for adding variances.

Question sequence

Predict what happens to variance after multiplying all values by −2 and adding 7.
Sample response: X+1−X=1, so the sum has variance zero.

Board development

Average first, center before measuring spread
$E(X)=\sum xp_x;\ \operatorname{Var}(X)=E(X^2)-E(X)^2$

Expected correct and incorrect responses

Correct sample: 1
Anticipated wrong response: 2 — Uses the second raw moment without centering.
Anticipated wrong response: 11 — Scales variance linearly and adds a constant shift.
Using unweighted means for unequal probabilities.
Adding variances without checking covariance.

Follow-up questions

Follow-up: Center before squaring or subtract the squared mean from the second moment. Then explain why 2 fails.
Follow-up: Square the scale and remove the constant shift. Then explain why 11 fails.
Explain why a negative scale reverses positions but does not make variance negative.

Remediation

Sample response: shift does not affect spread; the scale squares to four.
Return to the first example, identify the missing condition, then solve one fresh task without viewing its solution.

Exit check

Exit: distinguish E(X²) from E(X)² and state the independence requirement for adding variances.

Assessment checklist and sample responses

Representation and conditions
For probabilities 3/4,1/4 on 0,2, E(X)=0·3/4+2·1/4=1/2.
Connected mathematical reasoning
For fair 0,2, the mean is 1 and both squared deviations are 1, so variance is 1.
Interpretation and boundary check
If Y=1−X, X+Y=1 and variance is zero; independence is false.