Confidence Intervals on TI-84 — ZInterval, TInterval & More
Calculate a confidence interval on the TI-84 in three steps — then write the AP Statistics interpretation sentence correctly.
Which Interval Do You Need?
| Situation | Interval | STAT → TESTS menu |
|---|---|---|
| One mean, σ known | ZInterval | Option 7 |
| One mean, σ unknown (most common) | TInterval | Option 8 |
| One proportion (yes/no data) | 1-PropZInt | Option A |
| Two means, independent | 2-SampTInt | Option 0 |
| Two proportions | 2-PropZInt | Option B |
Quick rule: If the problem gives you σ (population standard deviation), use ZInterval. In almost every AP Statistics problem, σ is unknown — use TInterval.
Running a TInterval (One Sample Mean)
Example: You measure 25 students' study hours. x̄ = 6.4 hours, s = 1.8 hours. Calculate a 95% confidence interval.
Steps:
- Press
STAT - Arrow right to TESTS
- Select 8: TInterval
- Choose Stats
- Enter:
x̄= 6.4Sx= 1.8n= 25C-Level= 0.95
- Highlight Calculate → press
ENTER
Output:
(5.6567, 7.1433)
x̄ = 6.4
Sx = 1.8
n = 25
The interval (5.6567, 7.1433) is your answer.
Reading the Output
| Output | What it means |
|---|---|
(5.657, 7.143) | The confidence interval — your answer |
x̄ = 6.4 | Sample mean (center of interval) |
Sx = 1.8 | Sample standard deviation |
n = 25 | Sample size |
The calculator does not show the margin of error directly. If you need it: margin of error = (upper − lower) ÷ 2 = (7.143 − 5.657) ÷ 2 = 0.743.
Writing the AP Statistics Interpretation
This is the sentence that gets full credit. The format has three required parts:
Template:
"We are [C-Level]% confident that the true [parameter in context] is between [lower] and [upper] [units]."
For our example:
"We are 95% confident that the true mean number of study hours per day for all students is between 5.66 and 7.14 hours."
⚠️ Common AP grading error: Do not write "there is a 95% probability the true mean is in this interval." The true mean is fixed — the interval is random. Write "we are 95% confident."
Running a 1-PropZInt (Proportion)
Example: 156 out of 400 voters support a policy. Calculate a 90% confidence interval for the true proportion.
- Press
STAT→ TESTS → A: 1-PropZInt - Enter:
x= 156 (count of successes — enter the raw number, not the proportion)n= 400C-Level= 0.90
- Select Calculate →
ENTER
Output:
(0.3502, 0.4298)
p̂ = 0.39
n = 400
Interpretation:
"We are 90% confident that the true proportion of voters who support this policy is between 35.0% and 43.0%."
What Changes the Width of an Interval?
Understanding this helps you answer AP free-response questions about interval width:
| Change | Effect on width |
|---|---|
| Increase confidence level (e.g. 90% → 99%) | Wider |
| Increase sample size n | Narrower |
| Increase variability (larger s) | Wider |
| Decrease confidence level | Narrower |
The only thing you control that narrows an interval is increasing n.
Common Mistakes
1. Entering the proportion instead of the count
For 1-PropZInt, the calculator asks for x = the number of successes (e.g. 156), not p̂ (0.39). Enter the raw count.
2. Using ZInterval when σ is unknown
If the problem gives you s (sample standard deviation), use TInterval. ZInterval requires the true population σ, which is rarely known.
3. Misinterpreting the interval The interval estimates the population parameter, not future individual values. "We are 95% confident the next student will study 5.66 to 7.14 hours" is wrong.
4. Forgetting units in the interpretation sentence Always include units (hours, dollars, proportion, etc.) in your conclusion.
Checking Conditions
AP Statistics requires condition verification before calculating:
For TInterval:
- Random sample ✓
- n ≥ 30 or population approximately normal ✓
- Independent observations ✓
For 1-PropZInt:
- Random sample ✓
- n·p̂ ≥ 10 and n·(1−p̂) ≥ 10 ✓
- Independent (n ≤ 10% of population) ✓
Practice calculating confidence intervals on the free TI-84 calculator.
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