Class 11 Economics - ODISHA
Measures of Central Tendency
The chapter Measures of Central Tendency in Class 11 Economics (Odisha BSE) introduces students to statistical tools used to summarize massive numerical data into a single representative value. You will learn about three major averages: Arithmetic Mean, Median, and Mode, categorized for individual, discrete, and continuous frequency series. Mastering this chapter is crucial for scoring high in board exams because it forms the backbone of quantitative economic analysis, frequently appearing in both short-answer questions and long-form practical numerical problems.
Start Learning FreeKey Concepts
Arithmetic Mean
The most popular average, calculated by dividing the sum of all observations by the total number of observations.
Median
The positional average that divides an arranged series into two equal halves, representing the exact middle value.
Mode
The value that occurs most frequently in a given set of observations, representing peak popularity or concentration.
Individual Series
Raw, unclassified data where each item is listed separately with its individual frequency of one.
Continuous Series
Data organized into class intervals with corresponding frequencies, requiring special formulas like interpolation for median and mode.
Important Formulas
Board Exam Info
This chapter typically carries around 8 to 12 marks in the Odisha BSE Class 11 Economics examination. Common question types include direct numerical problems on calculating mean, median, and mode for continuous series, short conceptual questions comparing the merits and demerits of different averages, and missing frequency problems.
Frequently Asked Questions
Which measure of central tendency is best affected by extreme values?
The Arithmetic Mean is heavily affected by extreme values (outliers) because it takes into account every single observation in the dataset.
Can mode be calculated graphically?
Yes, Mode can be easily determined graphically using a histogram by locating the highest rectangle and drawing intersecting lines from adjacent rectangles.
When should we use Median instead of Mean?
Median is preferred when there are extreme values in the data or when dealing with qualitative data that can be arranged in order but not measured numerically.
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