Question

This phase often relies on the use of data visualization tools and numerical summaries, such as the measures of central tendency and variability. What is this phase called?

1) Data Collection
2) Data Analysis
3) Data Interpretation
4) Data Presentation

Answer 1

The phase called Data Analysis uses data visualization tools and numerical summaries to summarize and describe the characteristics of data, focusing on measures of central tendency and variability.

Step-by-step explanation:

The phase that often relies on the use of data visualization tools and numerical summaries, such as measures of central tendency and variability, is called Data Analysis. During data analysis, graphical representations such as stem-and-leaf plots, line graphs, bar graphs, histograms, frequency polygons, and box plots are utilized to present data in an easily interpretable form. Additionally, numerical measures like the mean, median, mode, variance, and standard deviation help summarize and describe data characteristics.

Measures of Central Tendency and Variability

Measures of central tendency, such as the mean, median, and mode, indicate the center of a data set. The mean provides the best estimate of the data set's center unless there are outliers. In cases of extreme values, the median is more representative. The mode indicates the most frequently occurring value in the data set. Variability measures, including variance and standard deviation, provide insights into the data spread, showing how much the data differs from the average.