Choosing z or t, and the CI checkpoint
◈ 5 cardsOne decision — is σ known? if not, is n ≤ 30? — picks z, t(n − 1) or the ∞ row; after that every interval is the same estimate ± critical × SE.
The decision
Every interval for a mean in this course is built the same way once one question is settled: which critical value? The decision has two branches:
- Is given? If the question supplies the population SD — from history, from the manufacturer, "known to be" — the critical value is , whatever is.
- Otherwise, is estimated from the sample. The distribution is with df. If , read that row; if , read the row, which is again — but the reason is the large-df rule, not a known .
The branch is taken on whether is known, first, and on second. The classic mistake is to run the branches in the wrong order: " is large, so " is right by accident when is unknown and wrong when it is the reason given. Say the reason.
Worked example — three cases, one grammar
Cedar & Stone reports a sample mean of minutes for the time to prepare a tax return, with sample SD , at 95 %.
Case A — is a known figure from years of records, . Known → . , margin , interval .
Case B — from the sample, . Unknown , df → . Same SE , margin , interval . Wider than A by 12 %: the cost of estimating from eleven degrees of freedom.
Case C — from the sample, . Unknown , df → row, 1.96. , margin , interval . The multiplier is 's value, but the sentence on the paper is t with 59 df; ∞ row by the large-df rule.
Cases B and C share and ; the fivefold larger sample cuts the width from 8.0 to 3.2 minutes — the SE fell by and the multiplier fell from 2.201 to 1.96.
Then the same three lines
Whichever branch, the working is:
- or ;
- margin critical SE;
- interval margin, reported as two limits with units.
And the sentence: we are 95 % confident that the mean preparation time is between 84.40 and 92.40 minutes. Conditions on the side: an SRS, and a normal population or — with a note on skew and outliers when .
Where this sits
This decision is one branch of the selection tree that Module 14 assembles for the whole course: one mean → σ known or not → or . Module 10 reuses it for tests (the same choice picks a z-test or a t-test), Module 11 extends it to two means, Module 12 to proportions (always ), Module 13 to a slope (always ). Learn this branch cold and the rest are variations.