Dispersion Measures Indicate Data Spread
Measures of dispersion, such as the standard deviation and mean, quantify the variability or spread of data points around the average value.
- Standard Deviation: This key measure indicates how much individual data points tend to deviate from the mean (average).
- A larger standard deviation signifies that data points are spread out over a wider range of values.
- Conversely, a smaller standard deviation indicates that data points are clustered closely around the mean.
Understanding Inequality from Dispersion
The spread or variability shown by these dispersion measures directly reflects the degree of inequality among the data values.
- High variability implies significant differences between individual data points, hence a high degree of inequality.
- Low variability suggests data points are similar, indicating a low degree of inequality (or high equality).
Therefore, measures of dispersion primarily show the degree of inequality present in the dataset.
The correct option is Degree of inequality.
Important Questions from Steps of Research
A hypothesis should be conceptually
Which of the following are the stages of meta analysis?
A. Understand the literature
B. Conduct new studies to fill the gap
C. Develop inclusion and exclusion criteria of the study
D. Locating primary studies
E. Identify secondary data
Choose the correct answer from the options given below :
Given below are stages of research process. Arrange these in the correct sequence of carrying them out
A. Sampling cases
B. Research question
C. Literature review
D. Data collection
E. Data analysis
Choose the correct answer from the options given below
Given below are two statements :
Statement I : The opinion that history must emerge from archives is questioned repeatedly over a period of time.
Statement II : Content fidelity compels history researchers to seek several sources of information.
In the light of the above statements, choose the correct answer from the options given below :
Match List I with List II
List I
Research Steps
List II
Main features
(A) Defining a research problem (I) Appropriate statistical techniques for data analysis (B) Hypothesis making (II) Representativeness of the units chosen (C) Drawing a research sample (III) Identifying the variables for setting up a plausible relationship (D) Hypothesis testing (IV) Carefully chosen terms and concepts with operational descriptions, if need be. Choose the correct answer from the options given below :
