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Collecting Data Checkpoint

A free Statistics and Data Analysis lesson from the “Collecting Data” unit, with a worked example and practice problems including step-by-step solutions.

This checkpoint reviews sampling, bias, surveys, observational studies, experiments, control, blinding, simulation, and scope of inference.

What you'll learn

Why it matters: Statistics assessments mix computation with interpretation, just like real reports: the numbers matter, but the conclusion has to match the context and the study design.

Worked example

Problem. A sample statistic describes:

  1. Worked Example: First identify exactly what the question is asking: A sample statistic describes:
  2. Compare each answer choice with the calculation or rule, and eliminate choices that do not satisfy the condition.
  3. A statistic is computed from sample data.
  4. A parameter describes the population.

Answer: the sample

Practice problems

1. Review case A: A sample statistic describes:

Choices: the sample · the entire population with certainty · the placebo · the null hypothesis

Show solution
  1. Checkpoint Review: First identify exactly what the question is asking: A sample statistic describes:
  2. Compare each answer choice with the calculation or rule, and eliminate choices that do not satisfy the condition.
  3. A statistic is computed from sample data.
  4. A parameter describes the population.
  5. Verify the selected choice by checking that it satisfies the original prompt and that the other choices fail the same test.

Answer: the sample

2. Review case B: Random sampling mainly helps a study:

Choices: prove causation by itself · remove every outlier · make all variables categorical · generalize to a population

Show solution
  1. Checkpoint Review: First identify exactly what the question is asking: Random sampling mainly helps a study:
  2. Compare each answer choice with the calculation or rule, and eliminate choices that do not satisfy the condition.
  3. Random sampling helps the sample represent the population.
  4. That supports generalizing results.
  5. Verify the selected choice by checking that it satisfies the original prompt and that the other choices fail the same test.

Answer: generalize to a population

3. Review case C: Voluntary response samples are risky because:

Choices: they have no variables · they prove causation · people with strong opinions may be overrepresented · they are always too large

Show solution
  1. Checkpoint Review: First identify exactly what the question is asking: Voluntary response samples are risky because:
  2. Compare each answer choice with the calculation or rule, and eliminate choices that do not satisfy the condition.
  3. Voluntary samples depend on who chooses to respond.
  4. That can create bias.
  5. Verify the selected choice by checking that it satisfies the original prompt and that the other choices fail the same test.

Answer: people with strong opinions may be overrepresented

4. Review case D: Random assignment mainly helps an experiment:

Choices: turn a table into a graph · compare treatments fairly · choose a representative sample · increase every p-value

Show solution
  1. Checkpoint Review: First identify exactly what the question is asking: Random assignment mainly helps an experiment:
  2. Compare each answer choice with the calculation or rule, and eliminate choices that do not satisfy the condition.
  3. Random assignment balances other factors across treatment groups.
  4. That supports fair treatment comparison.
  5. Verify the selected choice by checking that it satisfies the original prompt and that the other choices fail the same test.

Answer: compare treatments fairly

5. Review case E: A placebo is:

Choices: a fake treatment used for comparison · the sample mean · the population size · a residual from a model

Show solution
  1. Checkpoint Review: First identify exactly what the question is asking: A placebo is:
  2. Compare each answer choice with the calculation or rule, and eliminate choices that do not satisfy the condition.
  3. A placebo looks like a treatment but lacks the active ingredient.
  4. It helps measure expectation effects.
  5. Verify the selected choice by checking that it satisfies the original prompt and that the other choices fail the same test.

Answer: a fake treatment used for comparison

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