🇵🇰 I.Com (Intermediate in Commerce) · subject
I.Com (Intermediate in Commerce) Statistics Syllabus
The Statistics syllabus for I.Com (Intermediate in Commerce) in full: 8 chapters and 26 topics, every one listed below, plus 50 Statistics flashcards with answers.
Statistics syllabus: all 8 chapters
Expand any chapter to see its topics and sub-topics.
-
Introduction to Statistics
3 topics- Meaning and Importance of Statistics
- Uses and Limitations of Statistics
- Types of Data
-
Collection and Presentation of Data
3 topics- Sources of Data
- Classification of Data
- Tabulation of Data
-
Diagrammatic and Graphic Presentation
3 topics- Bar Charts and Pie Charts
- Histogram and Frequency Polygon
- Ogive
-
Frequency Distribution
3 topics- Construction of Frequency Distribution
- Class Limits and Class Boundaries
- Cumulative Frequency
-
Measures of Central Tendency
4 topics- Arithmetic Mean
- Median
- Mode
- Geometric and Harmonic Mean
-
Measures of Dispersion
4 topics- Range and Quartile Deviation
- Mean Deviation
- Standard Deviation and Variance
- Coefficient of Variation
-
Index Numbers
3 topics- Meaning and Uses of Index Numbers
- Simple and Weighted Index Numbers
- Consumer Price Index
-
Elementary Probability
3 topics- Basic Concepts of Probability
- Laws of Probability
- Permutations and Combinations
I.Com (Intermediate in Commerce) Statistics flashcards — 50 questions with answers
Define Statistics (in the plural sense / as data).
In the plural sense, Statistics means numerical facts or quantitative data collected systematically for a definite purpose, e.g. figures of population, prices or production.
Define Statistics in the singular sense (as a method/science).
In the singular sense, Statistics is the science of collection, organization, presentation, analysis and interpretation of numerical data.
What are the main stages/functions of Statistics?
Collection, organization (classification), presentation (tabulation/graphs), analysis, and interpretation of numerical data.
State four points showing the importance of Statistics.
It simplifies complex data, helps in comparison, aids in forecasting/prediction, assists decision-making and policy formulation, and helps test hypotheses.
How is Statistics important in business and commerce?
It helps in market analysis, demand forecasting, quality control, fixing prices, budgeting, and measuring business performance through numerical data.
List four main uses of Statistics.
Used in economics and planning, business and commerce, government administration, banking and insurance, and research in natural and social sciences.
How is Statistics used in economics?
To measure national income, study supply and demand, analyze prices and inflation, and formulate economic policies and plans.
State four limitations of Statistics.
It studies only quantitative facts, deals with aggregates (not individuals), results are true only on average, it can be misused, and laws are not exact.
Why is it said that 'Statistics does not study individual items'?
Because Statistics deals with aggregates or groups of data; a single isolated figure has little statistical meaning.
Why are statistical results said to be 'true only on average'?
Because statistical laws hold for large numbers of observations and describe general tendencies, not exact behaviour of each individual item.
What are the two main types of data based on source?
Primary data and Secondary data.
Define primary data.
Primary data is original data collected first-hand by the investigator directly for the specific purpose of the enquiry.
Define secondary data.
Secondary data is data that has already been collected, published or used by someone else, and is reused for a new study.
Give two examples of sources of secondary data.
Government publications, newspapers and journals, research reports, official records, and websites/agencies like the Bureau of Statistics.
What are the main methods of collecting primary data?
Direct personal investigation, indirect oral investigation, questionnaires/schedules, interviews, and information from correspondents/enumerators.
Distinguish between qualitative and quantitative data.
Quantitative data is expressed numerically (e.g. height, income); qualitative data describes a quality or attribute (e.g. gender, colour, religion).
Distinguish between discrete and continuous data.
Discrete data takes only separate whole values obtained by counting (e.g. number of children); continuous data can take any value within a range obtained by measurement (e.g. weight, height).
What is the difference between population and sample?
A population is the entire group of items under study; a sample is a representative subset selected from the population.
Define classification of data.
Classification is the process of arranging data into groups or classes according to their common characteristics or resemblances.
What are the four main bases of classification of data?
Qualitative (by attribute), quantitative (by magnitude), geographical (by location), and chronological (by time).
Show the other 30 Statistics flashcards
What is chronological classification?
Classification of data according to time, e.g. production figures arranged year by year or month by month.
What is geographical classification?
Classification of data according to place, region or location, e.g. population of different provinces.
Define tabulation of data.
Tabulation is the systematic arrangement of data into rows and columns of a table for easy comparison and analysis.
What are the main parts of a statistical table?
Table number, title, stub (row headings), caption/box-head (column headings), body, head-note, and footnote/source note.
What is the 'stub' of a table?
The stub is the left-hand column of a table containing the row headings that describe the contents of each row.
What is the 'caption' (box-head) of a table?
The caption is the heading of the columns, describing the data contained in each column.
State two main objectives of tabulation.
To present data in a compact, simplified form and to facilitate comparison, analysis and reference.
What is a frequency distribution?
A frequency distribution is a table showing how data values are distributed among different classes along with the frequency (number of items) in each class.
List the main steps in constructing a frequency distribution.
Find the range, decide the number of classes, determine the class interval, form the classes, and tally the observations to get frequencies.
How is the Range of data calculated?
Range = Largest value (maximum) − Smallest value (minimum).
How is the class interval (size of class) estimated?
Class interval (h) = Range ÷ Number of classes desired.
Define class frequency.
Class frequency is the number of observations or items that fall within a particular class.
What are class limits?
Class limits are the smallest (lower limit) and largest (upper limit) values that a class can contain, as written in the frequency table.
What are class boundaries (true limits)?
Class boundaries are the actual/true limits of a class with no gaps, found by adjusting the class limits to make classes continuous.
How are class boundaries obtained from class limits?
Subtract half the gap (d/2) from each lower limit and add half the gap to each upper limit, where d is the gap between the upper limit of one class and the lower limit of the next.
For classes 10–19 and 20–29, what are the boundaries of 10–19?
The gap is 1, so half-gap is 0.5; the boundaries are 9.5 to 19.5.
What is the class mark (mid-point) and how is it found?
The class mark is the central value of a class, found as (Lower class limit + Upper class limit) ÷ 2.
What is the difference between class limits and class boundaries?
Class limits are the stated values in the table (may have gaps); class boundaries are continuous true limits with no gaps, used for graphing and calculation.
Define cumulative frequency.
Cumulative frequency is the running total of frequencies obtained by successively adding the frequency of each class to the sum of frequencies of preceding classes.
What is a 'less than' cumulative frequency?
It is the total number of observations falling below the upper boundary of each class, accumulated from the lowest class upward.
What is a 'more than' cumulative frequency?
It is the total number of observations falling above the lower boundary of each class, accumulated from the highest class downward.
What is a bar chart (bar diagram)?
A bar chart represents data using rectangular bars of equal width whose lengths/heights are proportional to the values they represent.
What is the difference between a simple bar chart and a multiple bar chart?
A simple bar chart shows one variable with single bars; a multiple bar chart shows two or more related variables with grouped bars for comparison.
What is a component (sub-divided) bar chart?
A bar chart in which each bar is divided into parts/segments to show the components that make up the total.
What is a pie chart?
A pie chart is a circle divided into sectors, where each sector's angle is proportional to the value of the component it represents.
How is the angle of a sector in a pie chart calculated?
Angle = (Component value ÷ Total value) × 360°.
What is a histogram?
A histogram is a graph of a frequency distribution using adjacent rectangles drawn on class boundaries, with areas proportional to the class frequencies.
How does a histogram differ from a bar chart?
In a histogram bars are adjacent (no gaps) and drawn on class boundaries for continuous data; in a bar chart bars have gaps and represent discrete/categorical data.
What is a frequency polygon and how is it drawn?
A frequency polygon is a line graph of a frequency distribution made by plotting frequencies against class marks (mid-points) and joining the points with straight lines.
What is an Ogive (cumulative frequency curve)?
An Ogive is a graph obtained by plotting cumulative frequencies against the upper (or lower) class boundaries and joining the points with a smooth curve; it is used to read the median and quartiles.
I.Com (Intermediate in Commerce) Statistics FAQ
What is in the I.Com (Intermediate in Commerce) Statistics syllabus?
I.Com (Intermediate in Commerce) Statistics is split into 8 chapters: Introduction to Statistics, Collection and Presentation of Data, Diagrammatic and Graphic Presentation, Frequency Distribution, Measures of Central Tendency, Measures of Dispersion, Index Numbers and Elementary Probability. Together they contain 26 topics.
How many chapters are in I.Com (Intermediate in Commerce) Statistics?
8 chapters, containing 26 topics. The largest chapter is Measures of Central Tendency, with 4 topics.
Are there flashcards for I.Com (Intermediate in Commerce) Statistics?
Yes — a 50-card Statistics deck, printed in full in the flashcards section of this page and available in the Examius app with spaced repetition. The free plan covers one exam of your choice, including its flashcards; Examius Pro, a one-time purchase, unlocks every other exam and deck.