which of the following measures can be precisely located on the graph of a skewed distribution without doing any calculations?
Which of the following measures can be precisely located on the graph of a skewed distribution without doing any calculations?
Answer:
In a skewed distribution graph, certain measures can be precisely identified without the need for calculations. These measures include:
Mode: The mode is a measure of central tendency that represents the most frequently occurring value in a dataset. In a skewed distribution, the mode can be located directly on the graph as the peak of the distribution.
Skewness: Skewness is a measure of the asymmetry of a distribution. In a skewed distribution, the direction and degree of skewness can be visually observed on the graph without the need for precise calculations.
Outliers: Outliers are data points that lie far from the rest of the values in a dataset. In a skewed distribution, outliers can be visually identified on the graph as data points that are significantly distant from the main cluster of values.
These measures can provide valuable insights into the characteristics of a skewed distribution and can be observed directly on the graph without the requirement for detailed numerical calculations.