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
Obtaining a high correlation coefficient between administering an established test and the new test to the same students at approximately the same time result in
_______ is a prediction stated in a way that allows it to be tested.
Arrange the following research components in correct sequence:
A. Preparing a research plan
B. Collecting Data
C. Drawing conclusion
D. Formulating a research question/objectives
E. Analyzing dataChoose the correct answer from the options given below:
Which of the following sequences correctly reflects scientific investigation?
In which of the following steps of research, the scope for creativity and imagination is utmost?
