The statistical approach which helps the investigator to decide whether the outcome of the study is a result of factors planned within design of the study or determined by chance is called?

1. A

   Inferential statistics

2. B

   Descriptive statistics

3. C

   Normal distribution

4. D

   Standard deviation

Appeared in: UPUMS Nsg.Officer-2024

Explanation

• Inferential statistics uses data from a sample to draw conclusions or make generalizations about a larger population.
• It includes hypothesis testing, which is a formal procedure for determining whether an observed outcome is statistically significant or simply due to random chance.
• By calculating a p-value, researchers can quantify the probability that the results are a fluke, thus helping to decide if the outcome was caused by the factors planned in the study design.
• This approach is fundamental to evidence-based practice, as it validates whether a new intervention has a real effect.

Why Other Options Were Wrong

• Option B: Descriptive statistics are used to summarize and describe the main features of a dataset, such as the mean, median, and mode. They do not allow for conclusions beyond the data analyzed or for determining if results are due to chance.
• Option C: Normal distribution, or the 'bell curve,' is a theoretical probability distribution. While many statistical tests assume data is normally distributed, the distribution itself is not a method for testing hypotheses or determining cause.
• Option D: Standard deviation is a measure of dispersion; it quantifies how much the values in a dataset vary from the mean. It is a type of descriptive statistic and does not, by itself, test for significance or causality.

Related Visual

Clinical Relevance

• Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Inferential vs. Descriptive Statistics in Research as background academic context rather than a clinical decision trigger.
• In nursing research, inferential statistics are crucial for evaluating the effectiveness of new treatments, educational programs, or nursing interventions.
• For example, to prove a new wound care dressing promotes faster healing than a standard one, a nurse researcher would use inferential statistics to show the difference in healing time is not just a random occurrence.
• What if? If a researcher only wanted to report the average length of stay for patients on a specific hospital ward in a given month, they would use descriptive statistics (the mean), not inferential statistics, as they are not testing a hypothesis or generalizing to other wards.

How to Approach the Question

• First, identify the core question: it's asking for a method to decide between a planned effect and a random chance outcome.
• Analyze the keywords: 'decide', 'outcome', 'factors planned', and 'determined by chance'. These words point towards making a judgment or inference, not just describing something.
• Evaluate the options based on this analysis. 'Descriptive statistics', 'normal distribution', and 'standard deviation' are all related to describing data or theoretical models.
• Recognize that 'Inferential statistics' is the branch specifically designed for testing hypotheses and making conclusions about a population, which directly addresses the question of chance vs. planned effect.
• Therefore, select the option that deals with drawing conclusions and testing for significance.

Concept Tested & Keywords

• Concept Tested: Inferential vs. Descriptive Statistics in Research
• Stem keywords: statistical approach, outcome of the study, factors planned, determined by chance
• Lead-in keywords: is called

Question ID

QXzUOWxlNF3B3WBnGCftpY

Copy ID

Reference Book

E6 NursingResearch Sukhpal Kaur p. 336-338

E6 NursingResearch Suresh Sharma 5e Part 2 p. 52-54

E6 NursingResearch Polit 11e Part 1 p. 423-425