Worksheet: Organisation of Data - 2 | Economics Class 11 - Commerce PDF Download

Fill in the Blanks

Q1: Classification is the technique of categorizing data into groups that share common characteristics or features. It involves sorting data into ________ classes or groups based on their similarities.

Q2: Raw data is unstructured and requires processing and organization before it can be used effectively to derive meaningful ________.

Q3: Chronological classification is also referred to as ________ classification.

Q4: Geographical Classification involves the classification of data based on geographical locations such as ________.

Q5: Qualitative Classification provides descriptive information about the ________ of something or someone.

Q6: Variables such as height, weight, age, marks, income, etc., can be used for ________ series.

Q7: Attributes in a population survey may include information such as ________, age, height, weight, etc.

Q8: A variable is a characteristic that varies or changes from one investigation to another, such as ________, time to time, or place to place.

Q9: Class limits specify the ________ of a class interval.

Q10: Tally marking is a method used for keeping count using a ________ numeral system.

Assertion and Reason Based

Q1: Assertion: Classification simplifies data.
Reason: It groups data according to their color.
(a) True, Reason is the correct explanation.
(b) True, but Reason is not the correct explanation.
(c) False, Reason is the correct explanation.
(d) False, Reason is not the correct explanation.

Q2: Assertion: Qualitative Classification provides descriptive information.
Reason: It groups data according to their size.
(a) True, Reason is the correct explanation.
(b) True, but Reason is not the correct explanation.
(c) False, Reason is the correct explanation.
(d) False, Reason is not the correct explanation.

Q3: Assertion: Class limits specify the lower and upper limits of a class interval.
Reason: Class intervals are used for grouping people according to age.
(a) True, Reason is the correct explanation.
(b) True, but Reason is not the correct explanation.
(c) False, Reason is the correct explanation.
(d) False, Reason is not the correct explanation.

Q4: Assertion: Frequency curves are obtained by joining points through straight lines.
Reason: Tally marking is a method used for keeping track of numerical data with decimal points.
(a) True, Reason is the correct explanation.
(b) True, but Reason is not the correct explanation.
(c) False, Reason is the correct explanation.
(d) False, Reason is not the correct explanation.

Q5: Assertion: Bivariate Frequency Distribution involves the frequency distribution of two variables.
Reason: It shows the frequencies of three variables together.
(a) True, Reason is the correct explanation.
(b) True, but Reason is not the correct explanation.
(c) False, Reason is the correct explanation.
(d) False, Reason is not the correct explanation.

Very Short Answer Type Questions

Q1: What are the objectives of classification?

Q2: Explain the purpose of raw data.

Q3: Define qualitative classification.

Q4: Provide an example of a condition series.

Q5: List some attributes in a population survey.

Q6: What is a class interval?

Q7: How do you calculate the class mid-point?

Q8: What is the purpose of a frequency curve?

Q9: Explain the use of tally marks.

Q10: Define a bivariate frequency distribution.

Short Answer Type Questions

Q1: Explain the concept of class limits and their significance.

Q2: Describe the process of chronological classification with an example.

Q3: How does geographical classification work? Give an illustration.

Q4: Discuss the characteristics of a good classification.

Q5: What is the importance of a class mid-point in a frequency distribution table?

Q6: How can attributes be useful in data analysis?

Q7: Differentiate between continuous and discrete variables.

Q8: Why is the stability of classification important?

Long Answer Type Questions

Q1: Discuss the role of classification in making data more comprehensible and suitable for analysis.

Q2: Provide an in-depth explanation of the types of data classification, including chronological, geographical, and qualitative classification.

Q3: Explain the concept of condition series and how it can be applied to variables like age and income.

Q4: Define and discuss multivariate distributions and their relevance in statistical analysis.