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Worksheet: Organisation of Data- 1 | Economics Class 11 - Commerce PDF Download

Multiple Choice Questions


Q1:. Which of the following is/are objectives of classification?
(a) 
To simplify facts
(b) 
To facilitate comparison
(c) 
To point out similarities and dissimilarities
(d)
All of the above

Q2: Raw data is made comprehensible by :
(a) 
collection of data
(b) 
classification of data
(c) 
organization of data
(d) 
presentation of data

Q3: In a frequency distribution, the class may be :
(a) 
singular or plural
(b) 
subjective or objective
(c) 
individual or discrete
(d) 
inclusive or exclusive

Q4: The characteristic of fact that can be measured in the form of numbers is called:
(a) 
Frequency
(b)
variable
(c) 
attribute
(d) 
none of these

Q5: A refers to quantity whose value varies from one investigation to another.
(a) 
constant
(b) 
variable
(c)
array
(d) 
none of these

Q6: Classification done according to the attributes of data.
(a) 
Quantitative Classification
(b)
Qualitative classification
(c) 
Chronological classification
(d) 
Spatial classification

Q7: Formula for finding mid-value is given by
(a) 
l2-l2
(b)
l2-l1/2
(c) 
l1-l2
(d) 
l1-l2/2

Q8: The frequency distribution of two variables is known as:
(a) 
Univariate distribution
(b) 
Bivariate distribution
(c) 
Multivariate
(d) 
None of the above

Q9: A given characteristics or attributes of a statistical enquiry refers to which of the following?
(a) 
Qualitative behavior
(b) 
Quantitative behavior
(c) 
Both (a) and (b)
(d) 
None of the above

Q10: A variable which can take integral as well as fractional values is known as ____.
(a) 
discrete variable
(b)
continuous variable
(c) 
constant variable
(d) 
All of the above

Q11: Classification should be elastic in nature. Choose from the options below.
(a) 
True
(b)
False
(c) 
Partially true
(d) 
Incomplete statement

Q12: Choose the correct equation from given below.
(Here S = Size of class, r = Range, n = Number of class)

(a) S = r/n
(b)
S = r – n
(c) 
S = r + n
(d)
None of these

Q13: A quantity which varies from one individual to another is known as ……… .
(a) 
Array
(b) 
Series
(c) 
Variable
(d) 
None of these

Q14: Which of the following is/are type(s) of classification?
(a) 
Chronological classification
(b) 
Geographical classification
(c)
Qualitative classification
(d) 
All of the above

Q15: Food habits of an individual is an example of
(a)
attribute
(b) 
variable
(c) 
continuous variable
(d) 
None of these

Q16: Classification of data based on time period is known as ____
(a) 
chronological classification
(b) 
geographical classification
(c) 
qualitative classification
(d)
None of the above

Q17: Which of the following is/are statistical series based on construction?
(i) Individual series
(ii) Discrete series
(iii) Continuous series
Choose from the options below.
(a) 
(i) and (ii)
(b)
(ii) and (iii)
(c)
(i) and (iii)
(d)
(i), (ii) and (iii)

Q18: The difference between highest and lowest items of the series is known as class width. Choose from the options below.
(a) 
True
(b) 
False
(c) 
Partially true
(d)
Incomplete statement

Q19: Categorisation of data based upon the citizenship of an individual is an example of ____.
(a) 
quality
(b)
attribute
(c) 
variable
(d) 
None of the above

Q20: Data which is grouped with reference to the attributes is referred to as ____.
(a) 
chronological classification
(b) 
geographical classification
(c) 
qualitative classification
(d) 
quantitative classification

Q20: Class width is same as ____.
(a) 
class frequency
(b) 
class interval
(c) 
Both (a) and (b)
(d)
Neither (a) nor (b)

Q21: Mutually exclusive distribution is used to represent
(a)
individual series
(b) 
discrete series
(c) 
continuous series
(d) 
All of these

Direction Read the following case study and answer questions on the basis of the same.
Collection of data is the first step in a statistical analysis. Data can be collected either from primary source or secondary source. Primary data is original as it is being collected for the first time. After collecting the data, next step is to organise the data as raw data cannot be used for further statistical analysis. There are various methods of classification of data based upon the nature of quantitative data.
Q22: Data are grouped with reference to the attributes is referred to as…classification.
(a) 
qualitative
(b) 
quantitative
(c) 
both (a) and (b)
(d) 
Neither (a) nor (b)

Q23: Time series graphs are presented on the basis of general characteristics of a data.
Choose from the options below.
(a) 
True
(b) 
False
(c) 
Partially true
(d) 
Incomplete statement

Q24: Assertion (A) Classification of data is done after organisation process.
Reason (R) Collection of raw data is not useful for further analysis.
Alternatives
(a)
Both Assertion (A) and Reason (R) are true and Reason (R) is the correct explanation of Assertion (A)
(b) 
Both Assertion (A) and Reason (R) are true, but Reason (R) is not the correct explanation of Assertion (A)
(c) 
Assertion (A) is false, but Reason (R) is true
(d) 
Both are false

Q25: In which of the following method of frequency distribution, the upper limit of each class is excluded from the series but equal to the lower limit of the succeeding series?
(a) 
Continuous exclusive frequency distribution
(b) 
Continuous inclusive frequency distribution
(c) 
Continuous cumulative frequency distribution
(d) 
None of the above

Q26: Classification of data based on time period is known as ……… classification.
(a) 
chronological
(b) 
temporal
(c)
spatial
(d) 
Both (a) and (b)

Long Answers


Q1: Define the following terms?

Q2: What are the different types of series on the basis of general characters?

Q3: What are the 3 types of series on the basis of construction?

Q4: Define an array?

Q5: Distinguish between?

Q6: Give the steps of Construction:

Q7: Give the 7 principles of grouping data.

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FAQs on Worksheet: Organisation of Data- 1 - Economics Class 11 - Commerce

1. What is data organization?
Data organization refers to the process of arranging and structuring data in a systematic manner to facilitate efficient storage, retrieval, and analysis. It involves categorizing and sorting data elements based on specific criteria, such as alphabetically, numerically, chronologically, or by specific attributes.
2. Why is data organization important?
Data organization is important for several reasons. Firstly, it allows for easy and quick access to data when needed, saving time and effort in searching for specific information. Secondly, organized data enables effective data analysis, leading to better decision-making and insights. Additionally, data organization helps in maintaining data integrity and consistency, reducing the chances of errors and duplicate entries.
3. What are some common methods of data organization?
There are various methods of data organization, depending on the nature of the data and its purpose. Some common methods include: 1. Alphabetical ordering: Sorting data based on alphabetical order, typically used for organizing names or terms. 2. Numerical ordering: Arranging data in ascending or descending numerical order, useful for numerical data sets. 3. Chronological ordering: Sorting data based on time or date, often used for organizing events or historical data. 4. Categorical grouping: Grouping data based on specific categories or attributes, such as product categories or customer segments. 5. Hierarchical structuring: Organizing data in a hierarchical structure, with levels and sub-levels, commonly used for organizing file systems or organizational charts.
4. How can data organization improve data analysis?
Effective data organization plays a crucial role in improving data analysis. By arranging data in a logical and structured manner, it becomes easier to identify patterns, trends, and relationships within the data. This allows analysts to extract meaningful insights and make informed decisions. Additionally, organized data reduces the chances of errors and inconsistencies, ensuring the accuracy and reliability of analysis results.
5. What are some best practices for data organization?
To ensure effective data organization, it is important to follow some best practices, such as: 1. Standardize data formats: Use consistent formats for data elements, such as dates, addresses, or names, to avoid confusion and facilitate sorting. 2. Use appropriate naming conventions: Assign clear and descriptive names to data files or variables, making it easier to identify and locate specific information. 3. Regularly update and clean data: Remove duplicate entries, correct errors, and update outdated information to maintain data integrity and accuracy. 4. Implement data security measures: Protect sensitive data by implementing appropriate security measures, such as encryption or access controls. 5. Document data organization procedures: Create documentation or guidelines outlining the data organization process to ensure consistency and facilitate collaboration among team members.
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