Statistical hypothesis is otherwise known as:

AIIMS Raipur NO - 2019 (Shift-1)

Nursing Research & Statistics

Easy

Appeared in: AIIMS Raipur NO - 2019 (Shift-1)

Explanation

The null hypothesis (H₀), also known as the statistical hypothesis, is a statement of no relationship or no effect between variables.
In statistical inference, the null hypothesis is the formal statement that is directly tested to decide whether to reject it in favor of an alternative hypothesis.
The goal of a research study is often to gather enough evidence to disprove or reject the null hypothesis, thereby supporting the researcher's own hypothesis (the research/alternative hypothesis).

Option A: A directional hypothesis is a type of research (or alternative) hypothesis, not a synonym for a statistical hypothesis. It specifies the expected direction of the relationship between variables.
Option B: A research hypothesis, also known as the alternative hypothesis (H₁), is the statement that contradicts the null hypothesis. It's what the researcher aims to support, not the hypothesis that is formally tested.
Option D: A non-directional hypothesis is also a type of research (or alternative) hypothesis. It posits that a relationship exists but does not predict the direction of that relationship.

Clinical Relevance

Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Types of Statistical Hypotheses as background academic context rather than a clinical decision trigger.
Understanding the null hypothesis is fundamental for nurses to critically appraise research articles. It helps in evaluating the evidence for or against a particular nursing intervention or treatment.
When reading a study, a nurse can identify the null hypothesis to understand what claim is being statistically challenged. This skill is crucial for evidence-based practice.
What if a study 'fails to reject the null hypothesis'? This means there wasn't enough statistical evidence to support the research hypothesis. For a nurse, this implies that the intervention being studied cannot be considered effective based on this research, and current practices should not be changed based on this single study.

How to Approach the Question

First, define the key term in the question: 'Statistical hypothesis'. This refers to a formal statement used in statistical testing.
Next, evaluate each option. A 'research hypothesis' is what the researcher believes to be true (the alternative hypothesis). 'Directional' and 'non-directional' are sub-types of the research hypothesis.
Recall that the process of statistical testing involves setting up a 'null hypothesis'—a statement of no effect—and then trying to find evidence to reject it.
Conclude that the 'null hypothesis' is the specific statement that is formally tested in statistics, making it the best answer for what a 'statistical hypothesis' is otherwise known as in the context of testing.

Concept Tested & Keywords

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E6 NursingResearch Sukhpal Kaur p. 112-114

E6 NursingResearch Polit 11e Part 1 p. 91-93