Math With AmarA C A D E M Y

Grade 11 · Intermediate · 13 minute lesson

Predict how rescaling measurements changes their spread

Transform a mean and standard deviation without recalculating every observation.

Lesson 28 of 30 in Grade 11. Take the time you need; the lesson estimate is a guide.

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01 · Read and understand

What you will learn

  • Transform a mean and standard deviation without recalculating every observation.
  • Justify the conclusion "SD(Y)=|3|SD(X)=6 and Var(Y)=36" using the stated assumptions.

Before you start

Means, deviations, and variance.

Keep paper nearby. Read the question once for the context, then again to identify what is known and what you need to find.

Start with a question

If X has mean ten and standard deviation two, find the mean and standard deviation of Y=3X−5.

Why this math matters

Transform a mean and standard deviation without recalculating every observation. This worked micro-lesson connects a precise mathematical condition to a conclusion you can check. The transfer task asks you to change the setting and decide which parts of the reasoning still apply.

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Make a representation of your own.Sketch the quantities or relationships in this question before working through the solution. The cover image sets the learning scene; it does not show this problem’s exact values.

Set up the model

A useful answer starts with clear assumptions:

  • The mean and variance exist.
  • The same transformation is applied to every observation.

02 · Work through the example

Follow the reasoning, one step at a time.

Try to predict the next step before reading it. After each calculation, explain why the operation makes sense and how it helps answer the original question.

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See this example unfold.

The complete worked example, one idea at a time.

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Predict how rescaling measurements changes their spread

Paused

Question: Start with the question. Paused.

Question

Start with the question

If X has mean ten and standard deviation two, find the mean and standard deviation of Y=3X−5.

Before you calculate

Read what is known and what you need to find. Make a prediction before moving to the first calculation.

Starts paused. Play advances through the full text at a reading pace; pause whenever you need more time. Previous, Next, and the phase buttons let you set your own pace. Playback pauses when this walkthrough leaves the screen or you switch tabs.

Your device’s reduced-motion setting keeps each phase still. Manual controls remain available. The full written solution stays below.

  1. Build the model

    E[Y]=3E[X]−5=25

    Mean follows the same affine transformation as each observation.

  2. Work through the mathematics

    Y−E[Y]=3(X−E[X])

    Subtracting the transformed mean cancels the shift.

  3. Check the conclusion

    SD(Y)=|3|SD(X)=6 and Var(Y)=36

    Scaling multiplies deviations, while shifting does not alter spread.

The result

SD(Y)=|3|SD(X)=6 and Var(Y)=36

Scaling multiplies deviations, while shifting does not alter spread.

Common mistakes to catch

  • Variance scales by the square of the multiplier.
  • A negative multiplier cannot produce a negative standard deviation.

03 · Practice independently

Try it before revealing the answer.

Use paper or a calculator as needed. Write your units and reasoning, then open the hint or explanation to check your approach.

Practice 1

What is the standard deviation of 100−X?

Show a hint

Use the absolute scale factor.

Reveal answer and explanation

Two

Reflection changes signs of deviations but not their squared sizes.

Practice 2

What is the mean of X+7?

Show a hint

Add the constant to the mean.

Reveal answer and explanation

Seventeen

Every observation and the mean shift by seven.

Take the idea with you

Convert both the center and spread of a dataset when its measurement unit changes.

04 · Reflect and continue

Can you explain it in your own words?

Before moving on, explain the main idea without looking at the worked example. Try both practice questions, check your reasoning, and name one mistake you now know how to avoid. Return to a step if you still need support.

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