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APPENDIX A
GLOSSARY OF STATISTICAL TERMS
Analysis Understanding and explaining an economic problem in terms of the
various causes behind it.
Assumed Mean An approximate value in order to simplify calculation.
Attribute A characteristic that is qualitative in nature. It cannot be
measured.
Bimodal Distribution A distribution which has two mode values.
Bivariate Distribution Frequency distribution of two variables.
Census Method A method of data collection, which requires that observations
are taken on all the individuals in a population.
Chronological Classification Classification based on time.
Class Frequency Number of observations in a class.
Class Interval Difference between the upper and the lower class limits.
Class Mark Class midpoint
Class Midpoint Middle value of a class. It is the representative value of
different observations in a class. It is equal to (upper class limit + lower class
limit)/2.
Classification Arranging or organising similar things into groups or classes.
Consumer One who buys goods for one’s own personal needs or for the needs
of one’s family or as a gift to someone.
Constant A constant is also a quantity used to describe an attribute, but it
will not change during calculation or investigation.
Continuous Variable A quantitative variable that can take any numerical
value.
Cyclicity Periodicity in data variation with time period of more than one
year.
Decile A partition value that divides the data into ten equal parts.
Discrete Variable A quantitative variable that takes only certain values. It
changes from one value to another by finite “jumps”. The intermediate values
between two adjacent values are not taken by the variable.
Economics Study of how people and society choose to employ scarce resources
that could have alternative uses in order to produce various commodities
that satisfy their wants and to distribute them for consumption among various
persons and groups in society.
Reprint 2025-26
Page 2


APPENDIX A
GLOSSARY OF STATISTICAL TERMS
Analysis Understanding and explaining an economic problem in terms of the
various causes behind it.
Assumed Mean An approximate value in order to simplify calculation.
Attribute A characteristic that is qualitative in nature. It cannot be
measured.
Bimodal Distribution A distribution which has two mode values.
Bivariate Distribution Frequency distribution of two variables.
Census Method A method of data collection, which requires that observations
are taken on all the individuals in a population.
Chronological Classification Classification based on time.
Class Frequency Number of observations in a class.
Class Interval Difference between the upper and the lower class limits.
Class Mark Class midpoint
Class Midpoint Middle value of a class. It is the representative value of
different observations in a class. It is equal to (upper class limit + lower class
limit)/2.
Classification Arranging or organising similar things into groups or classes.
Consumer One who buys goods for one’s own personal needs or for the needs
of one’s family or as a gift to someone.
Constant A constant is also a quantity used to describe an attribute, but it
will not change during calculation or investigation.
Continuous Variable A quantitative variable that can take any numerical
value.
Cyclicity Periodicity in data variation with time period of more than one
year.
Decile A partition value that divides the data into ten equal parts.
Discrete Variable A quantitative variable that takes only certain values. It
changes from one value to another by finite “jumps”. The intermediate values
between two adjacent values are not taken by the variable.
Economics Study of how people and society choose to employ scarce resources
that could have alternative uses in order to produce various commodities
that satisfy their wants and to distribute them for consumption among various
persons and groups in society.
Reprint 2025-26
APPENDIX A 115
Employee One who gets paid for a job or for working for another person.
Employer One who pays another person to do or do some work.
Enumerator  A person who collects the data.
Exclusive Method A method of classifying observations in which an
observation equal to either the upper class limit or the lower class limit of
a class is not put in that class but is put in the class above or below.
Frequency The number of times an observation occurs in raw data. In a
frequency distribution it means the number of observations in a class.
Frequency Array  A classification of a discrete variable that shows different
values of the variable along with their corresponding frequencies.
Frequency Curve The graph of a frequency distribution in which class
frequencies on Y-axis are plotted against the values of class marks on X-axis.
Frequency Distribution A classification of a quantitative variable that
shows how different values of the variable are distributed in different
classes along with their corresponding class frequencies.
Inclusive Method A method of classifying observations in which an
observations equal to the upper class limit of a class as well as the lower
class limit is put in that class.
Informant Individual/unit from whom the desired information is
obtained.
Multi Modal Distribution The distribution that has more than two modes.
Non-Sampling Error It arises in data collection due to (i) sampling bias,
(ii) non-response, (iii) error in data acquisition.
Observation A unit of raw data.
Percentiles A value which divides the data into hundred equal parts so
there are 99 percentiles in the data.
Policy The measure to solve an economic problem.
Population Population means all the individuals/units for whom the
information has to be sought.
Qualitative Classification Classification based on quality. For example
classification of people according to gender, marital status etc.
Qualitative Data Information or data expressed in terms of qualities.
Quantitative Data A (often large) set of numbers systematically arranged
for conveying specific information on a subject for better understanding
or decision-making.
Reprint 2025-26
Page 3


APPENDIX A
GLOSSARY OF STATISTICAL TERMS
Analysis Understanding and explaining an economic problem in terms of the
various causes behind it.
Assumed Mean An approximate value in order to simplify calculation.
Attribute A characteristic that is qualitative in nature. It cannot be
measured.
Bimodal Distribution A distribution which has two mode values.
Bivariate Distribution Frequency distribution of two variables.
Census Method A method of data collection, which requires that observations
are taken on all the individuals in a population.
Chronological Classification Classification based on time.
Class Frequency Number of observations in a class.
Class Interval Difference between the upper and the lower class limits.
Class Mark Class midpoint
Class Midpoint Middle value of a class. It is the representative value of
different observations in a class. It is equal to (upper class limit + lower class
limit)/2.
Classification Arranging or organising similar things into groups or classes.
Consumer One who buys goods for one’s own personal needs or for the needs
of one’s family or as a gift to someone.
Constant A constant is also a quantity used to describe an attribute, but it
will not change during calculation or investigation.
Continuous Variable A quantitative variable that can take any numerical
value.
Cyclicity Periodicity in data variation with time period of more than one
year.
Decile A partition value that divides the data into ten equal parts.
Discrete Variable A quantitative variable that takes only certain values. It
changes from one value to another by finite “jumps”. The intermediate values
between two adjacent values are not taken by the variable.
Economics Study of how people and society choose to employ scarce resources
that could have alternative uses in order to produce various commodities
that satisfy their wants and to distribute them for consumption among various
persons and groups in society.
Reprint 2025-26
APPENDIX A 115
Employee One who gets paid for a job or for working for another person.
Employer One who pays another person to do or do some work.
Enumerator  A person who collects the data.
Exclusive Method A method of classifying observations in which an
observation equal to either the upper class limit or the lower class limit of
a class is not put in that class but is put in the class above or below.
Frequency The number of times an observation occurs in raw data. In a
frequency distribution it means the number of observations in a class.
Frequency Array  A classification of a discrete variable that shows different
values of the variable along with their corresponding frequencies.
Frequency Curve The graph of a frequency distribution in which class
frequencies on Y-axis are plotted against the values of class marks on X-axis.
Frequency Distribution A classification of a quantitative variable that
shows how different values of the variable are distributed in different
classes along with their corresponding class frequencies.
Inclusive Method A method of classifying observations in which an
observations equal to the upper class limit of a class as well as the lower
class limit is put in that class.
Informant Individual/unit from whom the desired information is
obtained.
Multi Modal Distribution The distribution that has more than two modes.
Non-Sampling Error It arises in data collection due to (i) sampling bias,
(ii) non-response, (iii) error in data acquisition.
Observation A unit of raw data.
Percentiles A value which divides the data into hundred equal parts so
there are 99 percentiles in the data.
Policy The measure to solve an economic problem.
Population Population means all the individuals/units for whom the
information has to be sought.
Qualitative Classification Classification based on quality. For example
classification of people according to gender, marital status etc.
Qualitative Data Information or data expressed in terms of qualities.
Quantitative Data A (often large) set of numbers systematically arranged
for conveying specific information on a subject for better understanding
or decision-making.
Reprint 2025-26
Questionnaire  A list of questions prepared by an investigator on the subject
of enquiry. The respondent is required to answer the questions.
Random Sampling  It is a method of sampling in which the representative
set of informants is selected in a way that every individual is given equal
chance of being selected as an informant.
Range Difference between the maximum and the minimum values of a
variable.
Relative Frequency Frequency of a class as proportion or percentage of total
frequency
Sample Survey Method A method, where observations are obtained on a
representative set of individuals (the sample), selected from the population.
Sampling Error It is the numerical difference between the estimate from the
sample and the corresponding true value of the parameter from the population.
Scarcity It means the lack of availability.
Seasonality Periodicity in data variation with time period less than one year.
Seller One who sells goods for profit.
Service Provider One who provides a service to others for a payment.
Spatial Classification Classification based on geographical location.
Statistics The method of collecting, organising, presenting and analysing
data to draw meaningful conclusion. Further, it also means data.
Structured Questionnaire Structured Questionnaire consists of “closed-
ended” questions, for which alternative possible answers to choose from are
provided.
Tally Marking The counting of observations in a class using tally (/) marks.
Tallies are grouped in fives.
Time Series Data arranged in chronological order or two variable data where
one of the variables is time.
Univariate Distribution The frequency distribution of one variable.
Variable A variable is a quantity used to measure an “attribute” (such as
height, weight, number etc.) of some thing or some persons, which can take
different values in different situations.
Weighted Average   The average is calculated by providing the different data
points with different weights.
116 STATISTICS FOR ECONOMICS
Reprint 2025-26
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FAQs on Glossary of Statistical Terms - Economics Class 11 - Commerce

1. What is the definition of statistical terms?
Ans. Statistical terms refer to the specific vocabulary used in the field of statistics. These terms help to describe and understand various statistical concepts, methods, and techniques.
2. Can you provide examples of statistical terms?
Ans. Yes, some common examples of statistical terms include mean, median, mode, standard deviation, hypothesis testing, p-value, confidence interval, regression analysis, and sampling.
3. How can statistical terms be useful in data analysis?
Ans. Statistical terms are essential in data analysis as they provide a standardized language for describing and summarizing data. They help in understanding and interpreting the results of statistical analysis, making it easier to communicate findings and draw conclusions.
4. Are statistical terms only used by statisticians?
Ans. No, statistical terms are not limited to statisticians. They are used by researchers, analysts, scientists, and professionals in various fields who work with data and perform statistical analysis. Having a basic understanding of statistical terms is beneficial for anyone involved in data-driven decision-making.
5. Where can I find a comprehensive glossary of statistical terms?
Ans. There are several online resources available that provide comprehensive glossaries of statistical terms. Some popular sources include websites of statistical organizations, textbooks on statistics, and academic journals focused on the field of statistics. Additionally, many statistical software packages also include built-in glossaries.
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