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Statistics: mixed assessment

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

TOPIC 01

Statistics: mixed assessment

A mixed assessment: identify the method, justify it and revise your reasoning.

What you will be able to explain

  • Connect the chapter skills without relying on the order of the exercises.

Try it. Leave your reasoning visible.

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

01 / Foundation#Your turn

A population has 100k students and a simple random sample has 10k. Find each student’s inclusion probability.

k=7k=7
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
Identify the population and sampling mechanism before scaling counts.
Hint 2
All students must have the same chance under simple random sampling.
Worked solution
  1. Identify the population and sampling mechanism before scaling counts.

  2. Calculate or simplify this relation.

    p=70/700=0.1p=70/700=0.1
  3. This is inclusion probability, not the fraction who will answer a survey.

The requested value is 0.1.

Checks and common pitfalls: This is inclusion probability, not the fraction who will answer a survey.

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

02 / Foundation#Your turn

A representative sample estimates a proportion 1/4 in a population of 80k. Estimate the corresponding count.

k=7k=7
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
Translate counts into sample proportions and keep classes, units and uncertainty visible.
Hint 2
Multiply the estimated fraction by the population size.
Worked solution
  1. Translate counts into sample proportions and keep classes, units and uncertainty visible.

  2. Calculate or simplify this relation.

    N^=560/4=140\hat N=560/4=140
  3. The estimated count inherits sampling and coverage uncertainty.

The requested value is 140.

Checks and common pitfalls: The estimated count inherits sampling and coverage uncertainty.

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

03 / Foundation#Your turn

A questionnaire asks only classmates arriving before 8 am. Explain a coverage issue when estimating the whole school’s commute time.

n=70n=70
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
State the survey question, population, sampling and measurement rules before drawing a conclusion.
Hint 2
Compare the sampling frame with the target population.
Worked solution
  1. State the survey question, population, sampling and measurement rules before drawing a conclusion.

  2. Calculate or simplify this relation.

    sampling frame⊊target population\text{sampling frame}\subsetneq\text{target population}
  3. More responses within the same restricted frame do not repair that exclusion.

Late-arriving students are excluded and may have systematically different commutes.

Checks and common pitfalls: More responses within the same restricted frame do not repair that exclusion.

Reasoning checklist · self / teacher assessment
  • State the relevant definition, condition or model.
  • Show a valid calculation, proof or counterexample.
  • Interpret the conclusion with its restrictions.

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

04 / Foundation#Your turn

A voluntary web poll receives 20k replies. Does the large reply count remove self-selection bias?

k=8k=8
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
Identify the population and sampling mechanism before scaling counts.
Hint 2
Separate precision from representativeness.
Worked solution
  1. Identify the population and sampling mechanism before scaling counts.

  2. Calculate or simplify this relation.

    large n⇏representative sample\text{large }n\not\Rightarrow\text{representative sample}
  3. A large biased sample can remain systematically misleading.

No; participation may depend on the opinion being measured.

Checks and common pitfalls: A large biased sample can remain systematically misleading.

Reasoning checklist · self / teacher assessment
  • State the relevant definition, condition or model.
  • Show a valid calculation, proof or counterexample.
  • Interpret the conclusion with its restrictions.

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

05 / Foundation#Your turn

For observations k,k+2,k+4, find variance using denominator 3 as specified.

k=8k=8
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
Translate counts into sample proportions and keep classes, units and uncertainty visible.
Hint 2
Center the data before squaring; use the stated denominator.
Worked solution
  1. Translate counts into sample proportions and keep classes, units and uncertainty visible.

  2. Calculate or simplify this relation.

    v=[(−2)2+02+22]/3=8/3v=[(-2)^2+0^2+2^2]/3=8/3
  3. This descriptive variance differs from an unbiased sample variance using n−1.

The requested value is 2.66666667.

Checks and common pitfalls: This descriptive variance differs from an unbiased sample variance using n−1.

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

06 / Foundation#Your turn

A survey finds longer commute is associated with lower attendance. Does the survey prove that commute caused the attendance pattern?

n=160n=160
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
State the survey question, population, sampling and measurement rules before drawing a conclusion.
Hint 2
Distinguish the observation from a causal claim.
Worked solution
  1. State the survey question, population, sampling and measurement rules before drawing a conclusion.

  2. Calculate or simplify this relation.

    association⇏causation\text{association}\not\Rightarrow\text{causation}
  3. Use a conclusion proportional to the survey design.

No. School location, transport reliability or other factors may confound the relation.

Checks and common pitfalls: Use a conclusion proportional to the survey design.

Reasoning checklist · self / teacher assessment
  • State the relevant definition, condition or model.
  • Show a valid calculation, proof or counterexample.
  • Interpret the conclusion with its restrictions.

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

07 / Standard#Your turn

A school studies all 100k students but measures everyone’s height with a ruler biased by +1 cm. Is there sampling error? Is there measurement bias?

k=9k=9
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
Identify the population and sampling mechanism before scaling counts.
Hint 2
Separate coverage from how the measurement was obtained.
Worked solution
  1. Identify the population and sampling mechanism before scaling counts.

  2. Calculate or simplify this relation.

    census≠error-free measurement\text{census}\ne\text{error-free measurement}
  3. A census does not remove measurement, processing or nonresponse problems.

No sampling error from selection; yes, a systematic measurement bias remains.

Checks and common pitfalls: A census does not remove measurement, processing or nonresponse problems.

Reasoning checklist · self / teacher assessment
  • State the relevant definition, condition or model.
  • Show a valid calculation, proof or counterexample.
  • Interpret the conclusion with its restrictions.

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

08 / Standard#Your turn

In a sample of 20k, 5k use public transport. Estimate the population proportion.

k=9k=9
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
Translate counts into sample proportions and keep classes, units and uncertainty visible.
Hint 2
Use the observed fraction as an estimate.
Worked solution
  1. Translate counts into sample proportions and keep classes, units and uncertainty visible.

  2. Calculate or simplify this relation.

    p^=45/180=0.25\hat p=45/180=0.25
  3. The population proportion is estimated rather than known exactly.

The requested value is 0.25.

Checks and common pitfalls: The population proportion is estimated rather than known exactly.

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

09 / Standard#Your turn

Two strata have mean commute times 20 and 40 minutes and sizes 3k and k. Find the overall mean.

k=9k=9
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
State the survey question, population, sampling and measurement rules before drawing a conclusion.
Hint 2
Weight stratum means by their sizes.
Worked solution
  1. State the survey question, population, sampling and measurement rules before drawing a conclusion.

  2. Calculate or simplify this relation.

    xˉ=[20(27)+40(9)]/36=25\bar x=[20(27)+40(9)]/36=25
  3. A simple average of the two means would incorrectly ignore the unequal sizes.

The requested value is 25.

Checks and common pitfalls: A simple average of the two means would incorrectly ignore the unequal sizes.

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

10 / Standard#Your turn

Systematically select 10k from an ordered population of 100k. Find the interval.

k=10k=10
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
Identify the population and sampling mechanism before scaling counts.
Hint 2
Divide population size by sample size.
Worked solution
  1. Identify the population and sampling mechanism before scaling counts.

  2. Calculate or simplify this relation.

    h=N/n=1000/100=10h=N/n=1000/100=10
  3. Choose a random start and inspect ordering for periodicity.

The requested value is 10.

Checks and common pitfalls: Choose a random start and inspect ordering for periodicity.

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

11 / Standard#Your turn

For observations k,k+2,k+4, find the sample mean.

k=10k=10
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
Translate counts into sample proportions and keep classes, units and uncertainty visible.
Hint 2
Add all observations and divide by their count.
Worked solution
  1. Translate counts into sample proportions and keep classes, units and uncertainty visible.

  2. Calculate or simplify this relation.

    xˉ=(10+12+14)/3=12\bar x=(10+12+14)/3=12
  3. Every observation is equally weighted in this unweighted sample.

The requested value is 12.

Checks and common pitfalls: Every observation is equally weighted in this unweighted sample.

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

12 / Standard#Your turn

Survey responses 5k contain 2k reports in seconds although the question asked minutes. Is direct pooling valid?

k=10k=10
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
State the survey question, population, sampling and measurement rules before drawing a conclusion.
Hint 2
Check definitions and units before summary statistics.
Worked solution
  1. State the survey question, population, sampling and measurement rules before drawing a conclusion.

  2. Calculate or simplify this relation.

    1 minute=60 seconds1\text{ minute}=60\text{ seconds}
  3. Cleaning decisions should remain documented, not silently delete difficult cases.

No. Convert compatible units and flag ambiguous responses before analysis.

Checks and common pitfalls: Cleaning decisions should remain documented, not silently delete difficult cases.

Reasoning checklist · self / teacher assessment
  • State the relevant definition, condition or model.
  • Show a valid calculation, proof or counterexample.
  • Interpret the conclusion with its restrictions.

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

13 / Transfer#Your turn

Sampling with replacement chooses 2 people from a population of k+2. Find the probability the same person appears twice.

k=11k=11
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
Identify the population and sampling mechanism before scaling counts.
Hint 2
Sum the mutually exclusive repeated-person outcomes.
Worked solution
  1. Identify the population and sampling mechanism before scaling counts.

  2. Calculate or simplify this relation.

    P=(13)(1/13)2=1/13P=(13)\left(1/13\right)^2=1/13
  3. This differs from sampling two distinct people without replacement.

The requested value is 0.07692308.

Checks and common pitfalls: This differs from sampling two distinct people without replacement.

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

14 / Transfer#Your turn

A sample’s mean is k and one extreme observation 100k is added. Must the median change as much as the mean? Explain.

k=11k=11
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
Translate counts into sample proportions and keep classes, units and uncertainty visible.
Hint 2
Compare value weighting with order statistics.
Worked solution
  1. Translate counts into sample proportions and keep classes, units and uncertainty visible.

  2. Calculate or simplify this relation.

    xˉnew=(nxˉ+100k)/(n+1)\bar x_{new}=(n\bar x+100k)/(n+1)
  3. The change in the median depends on the ordered data; it cannot be inferred from the mean alone.

No. The mean uses numerical magnitudes; the median mainly depends on ranks.

Checks and common pitfalls: The change in the median depends on the ordered data; it cannot be inferred from the mean alone.

Reasoning checklist · self / teacher assessment
  • State the relevant definition, condition or model.
  • Show a valid calculation, proof or counterexample.
  • Interpret the conclusion with its restrictions.

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

15 / Transfer#Your turn

An anonymous commute survey records 20k students; 12k travel at most 30 minutes. Find the sample proportion.

k=11k=11
  • Use the domain, units and sampling assumptions stated in the question.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
State the survey question, population, sampling and measurement rules before drawing a conclusion.
Hint 2
Count the students meeting the stated inclusive threshold.
Worked solution
  1. State the survey question, population, sampling and measurement rules before drawing a conclusion.

  2. Calculate or simplify this relation.

    p^=132/220=0.6\hat p=132/220=0.6
  3. The measured outcome is duration, not distance.

The requested value is 0.6.

Checks and common pitfalls: The measured outcome is duration, not distance.

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

Focus on one question

End-of-lesson check and correction

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    Teacher preparation and assessment

    Question sequence

    • Ask students to name the relevant condition before calculating.

    Board plan

    • Compare valid methods and annotate their conditions.

    Anticipated thinking

    • A correct final value may still hide a missing assumption.

    Assessment checklist

    • Check the method, conditions, reasoning and interpretation separately.

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