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Inference and Conclusions Checkpoint

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

This checkpoint reviews sampling variability, confidence intervals, hypothesis tests, p-values, error types, chi-square reasoning, and statistical conclusions.

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. At alpha = 0.05, a p-value of 0.03 leads to:

  1. Worked Example: First identify exactly what the question is asking: At alpha = 0.05, a p-value of 0.03 leads to:
  2. Use inverse operations to isolate the unknown, and keep both sides balanced at every step.
  3. Compare p-value to alpha.
  4. 0.03 is less than 0.05, so reject the null.

Answer: reject the null hypothesis

Practice problems

1. Review case A: At alpha = 0.05, a p-value of 0.03 leads to:

Choices: ignore the alternative · reject the null hypothesis · fail to reject the null hypothesis · increase the sample size to 0.05

Show solution
  1. Checkpoint Review: First identify exactly what the question is asking: At alpha = 0.05, a p-value of 0.03 leads to:
  2. Use inverse operations to isolate the unknown, and keep both sides balanced at every step.
  3. Compare p-value to alpha.
  4. 0.03 is less than 0.05, so reject the null.
  5. Verify the selected choice by checking that it satisfies the original prompt and that the other choices fail the same test.

Answer: reject the null hypothesis

2. Review case B: A Type I error means:

Choices: computing the mean · making a scatter plot · rejecting a true null hypothesis · failing to reject a false null hypothesis

Show solution
  1. Checkpoint Review: First identify exactly what the question is asking: A Type I error means:
  2. For data questions, identify what each statistic measures before calculating so the result matches the question.
  3. Type I error is a false alarm.
  4. It rejects the null when the null is actually true.
  5. Verify the selected choice by checking that it satisfies the original prompt and that the other choices fail the same test.

Answer: rejecting a true null hypothesis

3. Review case C: Power is the probability of:

Choices: making a Type I error · choosing a bar chart · having no sample variability · detecting a real effect

Show solution
  1. Checkpoint Review: First identify exactly what the question is asking: Power is the probability of:
  2. For probability, count favorable outcomes and total outcomes carefully before writing the ratio.
  3. Power is the chance a test rejects a false null.
  4. That means it detects a real effect.
  5. Verify the selected choice by checking that it satisfies the original prompt and that the other choices fail the same test.

Answer: detecting a real effect

4. Review case D: A correct statistical conclusion should include:

Choices: the decision and context · only the formula name · only the answer choice letter · no reference to the problem

Show solution
  1. Checkpoint Review: First identify exactly what the question is asking: A correct statistical conclusion should include:
  2. Compare each answer choice with the calculation or rule, and eliminate choices that do not satisfy the condition.
  3. A conclusion must say what the evidence means in context.
  4. The decision alone is not enough.
  5. Verify the selected choice by checking that it satisfies the original prompt and that the other choices fail the same test.

Answer: the decision and context

5. Review case E: A chi-square test for a two-way table looks for evidence of:

Choices: a normal percentile · association between categorical variables · a difference in two means · a slope in a scatter plot

Show solution
  1. Checkpoint Review: First identify exactly what the question is asking: A chi-square test for a two-way table looks for evidence of:
  2. Compare each answer choice with the calculation or rule, and eliminate choices that do not satisfy the condition.
  3. Two-way tables contain categorical counts.
  4. Chi-square tests can check association between the categories.
  5. Verify the selected choice by checking that it satisfies the original prompt and that the other choices fail the same test.

Answer: association between categorical variables

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