How Do You Spell CONFIDENCE INTERVAL?

Pronunciation: [kˈɒnfɪdəns ˈɪntəvə͡l] (IPA)

The spelling of "Confidence Interval" may seem confusing due to the pronunciation of the word "interval". Although it is spelled with an "e", the sound of the letter "a" is used instead. This is due to the fact that "interval" is derived from the Latin word "intervallum", which uses the "a" sound. The IPA phonetic transcription for "Confidence Interval" is /ˈkɒnfɪdəns/ /ˈɪntəvəl/, with the stressed syllables being "con-fi-dence" and "in-ter-val" respectively.

CONFIDENCE INTERVAL Meaning and Definition

1. A confidence interval refers to a statistical concept that provides a range of values within which an unknown population parameter is estimated to lie. The confidence interval quantifies the uncertainty associated with a statistical estimate by establishing a lower and an upper bound within which the true value is believed to exist. Typically expressed as a range, a confidence interval signifies the level of confidence or probability that the true parameter falls within that range.

   To calculate a confidence interval, statistical techniques are employed using a sample from a larger population. Through this process, a point estimate or a single value is obtained, representing the estimated population parameter (such as a mean, proportion, or regression coefficient). However, since this estimate is based solely on a sample, it introduces potential sampling errors. By constructing a confidence interval around the point estimate, using a specified confidence level (often expressed as a percentage), statisticians provide an interval that is believed to contain the true population parameter with a known level of confidence.

   The magnitude of the confidence interval is influenced by several factors, including the sample size, sample variability, and the desired level of confidence. A larger sample size tends to result in a smaller interval, as it reduces sampling error. Similarly, increasing the level of confidence (e.g., from a 90% confidence interval to a 95% confidence interval) typically widens the interval to encompass a larger range of plausible values. Confidence intervals are valuable in interpreting statistical results, allowing researchers and decision-makers to draw more reliable conclusions about population parameters based on observed sample data.

Common Misspellings for CONFIDENCE INTERVAL

• xonfidence interval
• vonfidence interval
• fonfidence interval
• donfidence interval
• cinfidence interval
• cknfidence interval
• clnfidence interval
• cpnfidence interval
• c0nfidence interval
• c9nfidence interval
• cobfidence interval
• comfidence interval
• cojfidence interval
• cohfidence interval
• condidence interval
• concidence interval
• convidence interval
• congidence interval
• contidence interval
• conridence interval

Etymology of CONFIDENCE INTERVAL

The word "confidence interval" originates from the fields of statistics and probability theory.

The term "confidence" refers to the level of certainty or confidence that can be attributed to an estimate or result obtained from a sample of data. It represents the reliability of the estimate or result.

The term "interval" refers to a range of values that includes an estimate or result and quantifies the uncertainty associated with it. In the context of statistics, an interval is often used to represent a range of values within which a population parameter is likely to fall.

Combining these two terms, a confidence interval is a statistical range or interval around an estimated value, within which the population parameter is believed to lie with a certain level of confidence.

The etymology of the word "confidence" traces back to the Latin word "confidentia", meaning "firmly trusting" or "assurance".

Plural form of CONFIDENCE INTERVAL is CONFIDENCE INTERVALS