Confidence interval for a difference of means
A statistics problem from Statisticsdrill. Solve it with one answer box, with a fresh sample on every attempt and the worked steps and spreadsheet function in the answer, and it is checked the moment you submit.
The task
A plant compares the daily output of two machines. Machine A: n = 8, x̄ = 104.3, s = 11.3. Machine B: n = 20, x̄ = 105.2, s = 11.3 (units per day). Assuming equal population variances, find the lower limit of a 90% confidence interval for μ1 - μ2 (Machine A minus Machine B) using the pooled t procedure. Round to 2 decimal places.
What this problem teaches
If the interval contains 0, the two means are not distinguishable at this confidence level. The sign of the limits follows the order of subtraction, so state which group comes first.
A hint if you get stuck
(x̄1 - x̄2) ± t* × sp √(1/n1 + 1/n2), with t* from n1 + n2 - 2 degrees of freedom and sp the pooled standard deviation.
Try it now, free, no account needed
The first 15 tasks on Statisticsdrill are free. Open it on the practice page, solve it, and get instant feedback with a hint. A free account adds the worked solution; Pro unlocks every task, timed mode and the certificate.
Open this problemMore problems in Inference
- Critical t value for an interval
- Margin of error for a mean (t)
- Confidence interval for a proportion
- Sample size for a mean
- Sample size for a proportion
- One-sample t statistic
- Two-sided t test: p-value and decision
- One-sided t test: p-value and decision
- Two-proportion z test
- Paired t test
- Chi-square test of independence (2 x 3)
- Chi-square 2 x 2: p-value and decision
- Two-sample t test (pooled)
- Welch t test: degrees of freedom and decision
- Chi-square goodness of fit
- One-way ANOVA F statistic
- Power of a one-sided z test
- Bonferroni: how many tests survive
- Benjamini-Hochberg: how many discoveries
- Margin of error for a mean (z, σ known)
- One-sample z test (σ known)
- One-proportion z test
- A/B test: sample size per group
- Effect size: Cohen's d
- Chi-square: expected count of a cell