Title: Statistics Confidence Interval - Reliability of an Estimate
Headings: Confidence Interval in Statistics
Confidence Interval in Statistics
In statistics, confidence interval refers to the amount of error that is allowed in the statistical data and analysis.
One Tailed
Two Tailed
Confidence Interval
Full reference:
You Are Allowed To Copy The Text
Want to stay up to date? Follow us!

Content: Statistics Confidence Interval - Reliability of an Estimate
Confidence Interval in Statistics
Skip to main content
Home >
Research >
Statistics >
Confidence Interval

Siddharth Kalla 74.8K reads
In statistics, confidence interval refers to the amount of error that is allowed in the statistical data and analysis. This article is a part of the guide: Select from one of the other courses available: Scientific Method Research Design Research Basics Experimental Research Sampling Validity and Reliability Write a Paper Biological Psychology Child Development Stress & Coping Motivation and Emotion Memory & Learning Personality Social Psychology Experiments Science Projects for Kids Survey Guide Philosophy of Science Reasoning Ethics in Research Ancient History Renaissance & Enlightenment Medical History Physics Experiments Biology Experiments Zoology Statistics Beginners Guide Statistical Conclusion Statistical Tests Distribution in Statistics
Discover 24 more articles on this topic
Don't miss these related articles: Significance 2
Sample Size
Experimental Probability
Cronbach’s Alpha
Systematic Error
Browse Full Outline
1 Inferential Statistics
2 Experimental Probability
2.1 Bayesian Probability
3 Confidence Interval
3.1 Significance Test
3.1.1 Significance 2
3.2 Significant Results
3.3 Sample Size
3.4 Margin of Error
3.5 Experimental Error
3.5.1 Random Error
3.5.2 Systematic Error
3.5.3 Data Dredging
3.5.4 Ad Hoc Analysis
3.5.5 Regression Toward the Mean
4 Statistical Power Analysis
4.1 P-Value
4.2 Effect Size
5 Ethics in Statistics
5.1 Philosophy of Statistics
6 Statistical Validity
6.1 Statistics and Reliability
6.1.1 Reliability 2
6.2 Cronbach’s Alpha
1 Inferential Statistics 2 Experimental Probability 3 Confidence Interval 4 Statistical Power Analysis 5 Ethics in Statistics 6 Statistical Validity
Typical Confidence Levels: One Tailed
>.95 (>95%)
>.99
>.999
Two Tailed
>.975 and <.0275
Confidence Interval
Since statistics uses a sample space and predicts the trends for the whole population, it is quite natural to expect a certain degree of error and uncertainty. This is captured through the confidence interval. You will frequently encounter this concept while looking at survey results, which take the data of a few people and extend it to the whole group. Suppose the survey shows that 34% of the people vote for Candidate A. The confidence that these results are accurate for the whole group can never be 100%; for this the survey would need to be taken for the entire group.