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A confidence interval for a difference estimates how far apart two population values may be, such as two means or two proportions. Instead of giving only one number from a sample, it gives a range of plausible differences. This matters because real samples vary, and two groups can look different just by chance.

The key reference point is difference = 0, which means no difference between the two populations.

Key Facts

  • For two independent means, point estimate = x1bar - x2bar.
  • For two independent proportions, point estimate = p1hat - p2hat.
  • General form: confidence interval = estimate ± critical value × standard error.
  • Two means, large sample or t method: (x1bar - x2bar) ± t* sqrt(s1^2/n1 + s2^2/n2).
  • Two proportions: (p1hat - p2hat) ± z* sqrt(p1hat(1 - p1hat)/n1 + p2hat(1 - p2hat)/n2).
  • If 0 is inside the interval, the data do not show a clear difference at that confidence level; if 0 is outside, the data support a difference.

Vocabulary

Confidence interval
A range of values calculated from sample data that is likely to contain the true population parameter.
Difference of means
The subtraction of one population or sample mean from another, often written as μ1 - μ2 or x1bar - x2bar.
Difference of proportions
The subtraction of one population or sample proportion from another, often written as p1 - p2 or p1hat - p2hat.
Standard error
An estimate of how much a sample statistic would vary from sample to sample.
Critical value
A multiplier such as z* or t* that sets how wide the confidence interval must be for a chosen confidence level.

Common Mistakes to Avoid

  • Interpreting a 95% confidence interval as a 95% chance that the fixed true difference is in this one interval. The correct idea is that the method captures the true difference in about 95% of repeated samples.
  • Forgetting to check whether 0 is in the interval. If 0 is included, a true difference of zero is still plausible at that confidence level.
  • Using the wrong standard error formula for means versus proportions. Means use sample standard deviations, while proportions use p-hat values and binomial variation.
  • Reversing the subtraction order without changing the interpretation. An interval for group 1 minus group 2 has the opposite sign of an interval for group 2 minus group 1.

Practice Questions

  1. 1 Two independent samples have x1bar = 84, s1 = 10, n1 = 40 and x2bar = 78, s2 = 12, n2 = 35. Using t* = 2.00, find a 95% confidence interval for μ1 - μ2.
  2. 2 In group 1, 64 out of 200 students passed a test. In group 2, 45 out of 180 students passed. Using z* = 1.96, find a 95% confidence interval for p1 - p2.
  3. 3 A confidence interval for the difference in average reaction time, μ1 - μ2, is from -0.12 seconds to 0.05 seconds. Explain what the inclusion of 0 means and whether this interval supports a clear difference between the groups.