JODHPUR AIIMS SNO-2018
Nursing Management & Leadership (E5)
Easy

Relationship between two variables like age and weight can be presented using a?

Appeared in: JODHPUR AIIMS SNO-2018

Explanation

  • A scatter diagram, also known as a scatter plot, is specifically designed to visualize the relationship between two continuous variables.
  • In this type of plot, one variable (e.g., age) is plotted on the horizontal axis (x-axis) and the other variable (e.g., weight) is plotted on the vertical axis (y-axis).
  • Each point on the diagram represents a single data pair (an individual's age and weight), making it easy to observe patterns, such as a positive correlation (as age increases, weight tends to increase), a negative correlation, or no correlation.
  • This method is also referred to as a correlation diagram because it helps in graphically assessing the correlation between variables.

Why Other Options Were Wrong

  • Option B: A bar diagram is used to compare the quantities of different discrete categories, not to show a relationship between two continuous variables. For example, it could show the number of students in different classes but not the relationship between their height and weight.
  • Option C: A 'Pic diagram' likely refers to a Pictogram or a Pie Chart. A pictogram uses symbols to represent data frequency, and a pie chart shows the proportion of parts within a whole. Neither is designed to illustrate the correlation between two variables like age and weight.
  • Option D: A histogram is used to show the frequency distribution of a single continuous variable. It groups data into ranges (bins) and shows how many data points fall into each range. It cannot show the relationship between two different variables simultaneously.

Related Visual

Visual explanation — Related Visual
Clinical Relevance
  • Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Data visualization for bivariate analysis as background academic context rather than a clinical decision trigger.
  • In nursing research and evidence-based practice, scatter diagrams are essential for analyzing data. For example, a nurse researcher might plot medication dosage against patient response to identify a dose-response relationship.
  • Clinically, growth charts for children are a practical application of this concept, plotting weight against age and height against age to track development against standard percentile curves.
  • Nurses can use scatter plots to identify potential correlations in patient data, such as plotting fluid intake versus urine output to assess renal function or tracking the relationship between hours of sleep and reported pain levels.
How to Approach the Question
  • First, analyze the question to identify the type of data being discussed. The question mentions 'two variables like age and weight', which are both continuous variables.
  • Next, identify the goal of the visualization. The question asks how to present the 'relationship' between these two variables.
  • Review the options provided. Consider the primary purpose of each type of diagram.
  • A scatter diagram is specifically designed to show the relationship or correlation between two continuous variables.
  • A bar diagram compares categories, a histogram shows the distribution of one variable, and a pie chart shows parts of a whole. Therefore, these are not suitable for showing a relationship between two variables.
  • Conclude that the scatter diagram is the only appropriate choice for this purpose.
Concept Tested & Keywords
  • Concept Tested: Data visualization for bivariate analysis
  • Stem keywords: Relationship, two variables, age, weight
  • Lead-in keywords: presented using a

Question ID

QMRVFnxDeGn7mLTQMi1e76

Reference Book

E6 NursingResearch Suresh Sharma 5e Part 2 p. 129-131

E6 Parks TextBook of Preventive & Social Medicine part 2 — Subpart B (pp 233-449 of 464) p. 163-165

E6 NursingResearch Sukhpal Kaur p. 433-435

Practise the full JODHPUR AIIMS SNO-2018

Attempt every question from this paper in a timed mock, then review the full solution for each one.