Wize University Statistics Textbook > Estimating with Confidence Intervals
Margin of Error and Sample Size
Popular Courses
COMM 214
Concordia University
STAT 151
University of Alberta
AP Statistics Exam Prep Course
AP Exam Prep
Statistics
General Course
Intro to Statistics
University Study Guides
COMM 215
Concordia University
COMM 191
University of British Columbia
STAT 213
University of Calgary
DATASCI 1000
Western University
STA 100
University of California - Davis
Grade 12 Data Management
Ontario High School
STATS 2244
Western University
STAT 200
University of British Columbia
Intro to Statistics
University Study Guides
STATS 2035
Western University
STAT 161
University of Alberta
QMS 210
Toronto Metropolitan University
STAT 263
Queen's University
STAT 2040
University of Guelph
ENDG 319
University of Calgary

0:00 / 0:00
Margin of Error and Sample Size
Recall that the margin of error is:
Suppose we have a desired margin of error, . Given the confidence level, we can find the sample size, , to give us the desired margin of error.
Example
If and we want a 95% confidence interval with a margin of error of 0.05. What should be our sample size?
Since
we use algebra to isolate n and get
(for 95% confidence)
Solve:
(rounded up!)
Wize Tip
Always round UP to the next whole number!
How do we reduce the margin of error?
- Increase n; or
- Decrease (opt for a lower confidence interval)
Suppose the sample proportion is 60% and we want to construct a 95% confidence interval with a margin of error of 3%.