The two frequently used significance levels are referred to as?

Appeared in: DSSSB - 29 August 2019 (Shift-1)

Explanation

The level of statistical significance is denoted by the Greek letter Alpha (α).
Alpha represents the probability of committing a Type I error, which is the error of rejecting a true null hypothesis (a 'false positive').
In research, the most common alpha levels are set at 0.05 (a 5% chance of a Type I error) or 0.01 (a 1% chance), which serve as the threshold for determining statistical significance.

Why Other Options Were Wrong

Option B: Gamma (γ) is a Greek letter used for other statistical measures, such as the gamma distribution or gamma coefficient, but it does not represent the significance level.
Option C: Beta (β) represents the probability of a Type II error, which is failing to reject a false null hypothesis (a 'false negative'). It is related to the power of a study (Power = 1 - β).
Option D: Delta (δ) is another Greek letter used in statistics, often to denote a change or difference (e.g., Cohen's d for effect size), but not the significance level.

Related Visual

Clinical Relevance

Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Statistical Significance Levels in Hypothesis Testing as background academic context rather than a clinical decision trigger.
Understanding alpha is crucial for nurses reading research articles to critically appraise the evidence. It helps determine if the study's findings are statistically significant or if they could have occurred by chance.
A nurse researcher must decide on an alpha level before starting a study. A stricter alpha (e.g., 0.01) is used for studies where a false positive could have serious consequences, like in clinical trials for new drugs.
What if? If a study reports a p-value of 0.06 with an alpha of 0.05, the nurse must conclude the results are not statistically significant, even though the p-value is close to the threshold. The null hypothesis cannot be rejected based on the pre-set criteria.

How to Approach the Question

First, identify the key term in the question: 'significance levels'.
Recall the standard terminology used in hypothesis testing and biostatistics.
The significance level, which is the threshold for rejecting the null hypothesis, is universally denoted by the Greek letter Alpha (α).
Consider the other options. Beta (β) is related but represents a different type of error (Type II). Gamma (γ) and Delta (δ) are used for other statistical concepts.
Select the option that directly corresponds to the definition of the significance level.

Concept Tested & Keywords

Concept Tested: Statistical Significance Levels in Hypothesis Testing
Stem keywords: significance levels
Lead-in keywords: referred to as

Question ID

QEvFRtlLntNDGF0ytkRUkw

Reference Book

E6 NursingResearch Sukhpal Kaur pp. 484-486, 337-339

E6 Robert Boland, Marcia L. Verduin - Kaplan and Sadock's Comprehensive Text of Psychiatry-Wolters Kluwer Health (2024) (pp 1-16525 of 16525) p. 2912-2914

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