Question 1.
\nUnder the inclusive method ……………
\n(a) Upper-class limit is excluded
\n(b) Lower class limit is excluded
\n(c) Lower class limit is included
\n(d) None of the above
\nAnswer:
\n(c) Lower class limit is included<\/p>\n
Question 2.
\nWhich of the following alternatives is true?
\nThe class midpoint is equal to:
\n(a) The average bf the upper-class limit and the lower class limit.
\n(b) The product of the upper-class limit and the lower class limit.
\n(c) The ratio of the upper-class limit and the lower class limit.
\n(d) None of the above.
\nAnswer:
\n(a) The average bf the upper-class limit and the lower class limit.<\/p>\n
Question 3.
\nWhich of the following alternatives is true?
\nThe frequency distribution of two variables is known as ………
\n(a) Univariate Distribution
\n(b) Bivariate Distribution
\n(c) Multivariate Distribution
\n(d) None of the above
\nAnswer:
\n(b) Bivariate Distribution<\/p>\n
Question 4.
\nWhich of the following alternatives is true?
\nStatistical calculations in classified data are based on …………
\n(a) the actual values of observations
\n(b) the upper-class limits
\n(c) the lower class limits
\n(d) the class midpoints
\nAnswer:
\n(d) the class midpoints<\/p>\n
Question 5.
\nWhich of the following alternatives is true?
\nUnder Exclusive method.
\n(a) the upper-class limit of a class is excluded in the class interval
\n(b) the upper-class limit of a class is included in the class interval
\n(c) the lower class limit of a class is excluded in the class interval
\n(d) the lower class limit of a class is included in the class interval
\nAnswer:
\n(a) the upper-class limit of a class is excluded in the class interval<\/p>\n
Question 6.
\nWhich of the following alternatives is true?
\nRange is the ………….
\n(a) difference between the largest and the smallest observations
\n(b) difference between the smallest and the largest observations
\n(c) average of the largest and the smallest observations
\n(d) ratio of the largest to the smallest observation.
\nAnswer:
\n(a) difference between the largest and the smallest observations<\/p>\n
Question 1.
\nWhat is the classification?
\nAnswer:
\nClassification of data is a technique with the help of which data is arranged into different groups or classes according to some common characteristics so as to facilitate the tabulation, analysis, and interpretation.<\/p>\n
Question 2.
\nDistinguish between raw data and classified data.
\nAnswer:
\nRaw data is the collected information in the form of numerical facts. It is the data collected as it is without any processing. The raw data is summurised and made comprehensible is known as classified data.<\/p>\n
Question 3.
\nDistinguish between frequency table and frequency array.
\nAnswer:
\nFrequency table is the classification of the data for a continuous variable. Frequency array is the classification of the data for a discrete variable.<\/p>\n
Question 4.
\nDistinguish between univariate frequency distribution and bivariate frequency distribution.
\nAnswer:
\nThe frequency distribution of a single variable is called univariate distribution. The frequency distribution of two variables is known as bivariate frequency distribution.<\/p>\n
Question 5.
\nIn a city 45 families were surveyed for the number of domestic appliences they used. Prepare a frequency array based on their replies as recorded below.
\n1, 3, 2, 2, 2, 2, 1, 2, 2, 3, 3, 3, 3, 2, 4, 2, 7, 2, 0, 3, 1, 3, 3, 2, 3, 2, 2, 6, 1, 6, 2, 1, 5, 1, 5, 3, 4, 2, 4, 3, 4, 3
\nAnswer:
\n![\"Plus](\"https:\/\/www.aplustopper.com\/wp-content\/uploads\/2019\/06\/Plus-One-Economics-Chapter-Wise-Questions-and-Answers-Chapter-13-Organisation-of-Data-2M-Q5.png\")
<\/p>\n
Question 6.
\nClassification of data is a function similar to that of sorting letters in a post office. Do you agree? Explain.
\nAnswer:
\nYes, I do agree with the statement that the classification of data is a function similar to that of sorting letters in a post office.<\/p>\n
The process of arranging data in groups or classes according to similarities is technically called classification. The classification is somewhat similar to that of sorting letters in a post office. Letters collected in a post office are sorted into different lots on a geographical basis.<\/p>\n
They are then put in separate bags. Thus by classification, we are trying to make different groups with similar characteristics. Units having a common characteristic place in one class and the whole data are thus divided into a number of classes.<\/p>\n
Question 7.
\nList examples of variables and attributes in your daily life.
\nAnswer:
\n1. Variables<\/p>\n
2. Attributes<\/p>\n
Question 8.
\nThere are some problems in preparing frequency distribution on the basis of class interval\u2019. Do you agree? Justify.
\nAnswer:
\nYes, I agree.
\nThe following problems arise in preparing frequency distribution on the basis of class interval.<\/p>\n
Question 1.
\nAnswer the following<\/p>\n
Answer:<\/p>\n
Question 2.
\nName the three types of series.
\nAnswer:<\/p>\n
Question 1.
\nCan there be any advantage in classifying things?
\nAnswer:
\nThe advantage of classification are the following.<\/p>\n
Question 2.
\nState the meaning and example for the following.<\/p>\n
Answer:
\n1. Chronological Classification:
\nIn Chronological classification, data are classified either in ascending or in descending order with reference to time such as years, quarters, months, weeks, etc.
\nExample: population of India from 1951 to 2011<\/p>\n
2. Spatial Classification:
\nIn Spatial Classification the data are classified with reference to geographical locations such as countries, states, cities, districts, etc.
\nExample: yield of wheat in different states of India.<\/p>\n
3. Qualitative Classification:
\nAttributes can be classified on the basis of either the presence or the absence of a qualitative characteristic. Such a classification of data on attributes is called a Qualitative Classification.
\nExample: grouping of people on the basis of gender<\/p>\n
4. Quantitative Classification:
\nWhen the collected data of such characteristics are grouped into classes, the classification is a Quantitative Classification.
\nExample: marks obtained by students.<\/p>\n
Question 3.
\nWhat is a variable? Distinguish between a discrete and a continuous variable.
\nAnswer:
\nA simple definition of a variable does not tell you how it varies. Different variables vary differently and depending on the way they vary, they are broadly classified into two types:<\/p>\n
A continuous variable can take any numerical value. It may take integral values (1, 2, 3, 4,…) or fractional values(1\/2, 2\/3, 3\/4).<\/p>\n
Unlike a continuous variable, a discrete variable can take only certain values. Its value changes only by finite \u201cjumps\u201d. It \u201cjumps” from one value to another but does not take any intermediate value between them.<\/p>\n
Question 4.
\nDifferentiate between exclusive method and inclusive method.
\nAnswer:
\n1. exclusive method, the upper-class limit is excluded but the lower class limit of a class is included in the interval.<\/p>\n
2. On the other hand, under the inclusive method, the upper-class limit is included in the class interval.<\/p>\n
Question 1.
\nDifferentiate between quantitative classification and qualitative classification.
\nAnswer:
\nClassification done according to quantitative varieties like marks and wages etc. is termed as quantitative classification. On the other hand, classification according to attributes like honesty and beauty is known as qualitative classification.<\/p>\n
Question 2.
\nPrepare a frequency distribution by inclusive and exclusive method for the following data.
\n28 27 6 16 15 2 14 5 19 25 19 20 28
\n32 37 13 15 11 32 4 6 9 3 36 12 8
\n4 1 8 3 18 12 7 17 15 22 29 21 23
\n2 9 4 10 5 20 20 33 27 21 27 18 9
\n31 18 9 7 1 26 24 20
\nAnswer:
\n![\"Plus](\"https:\/\/www.aplustopper.com\/wp-content\/uploads\/2019\/06\/Plus-One-Economics-Chapter-Wise-Questions-and-Answers-Chapter-13-Organisation-of-Data-5M-Q2.png\")
<\/p>\n
Question 1.
\nDefine and illustrate the inclusive and exclusive method used in the classification of data.
\nAnswer:
\n1. Inclusive Method:
\nIn comparison to the exclusive method, the Inclusive Method does not exclude the upper-class limit in a class interval. It includes the upper class in a class. Thus both class limits are parts of the class interval.
\nAn example of an inclusive method of a frequency distribution is given below.
\n![\"Plus](\"https:\/\/www.aplustopper.com\/wp-content\/uploads\/2019\/06\/Plus-One-Economics-Chapter-Wise-Questions-and-Answers-Chapter-13-Organisation-of-Data-8M-Q1.png\")
<\/p>\n
2. Exclusive Method:
\nThe classes, by this method, are formed in such a way that the upper-class limit of one class equals the lower class limit of the next class. In this way, the continuity of the data is maintained. That is why this method of classification is most suitable in case of data of a continuous variable. Under the method, the upper-class limit is excluded but the lower class limit of a class is included in the interval.
\nAn example for an exclusive method of a frequency distribution is given below.
\n![\"Plus](\"https:\/\/www.aplustopper.com\/wp-content\/uploads\/2019\/06\/Plus-One-Economics-Chapter-Wise-Questions-and-Answers-Chapter-13-Organisation-of-Data-8M-Q1.1.png\")
<\/p>\n
Kerala Plus One Economics Chapter Wise Questions and Answers Chapter 13 Organisation of Data Plus One Economics Organisation of Data One Mark Questions and Answers Question 1. Under the inclusive method …………… (a) Upper-class limit is excluded (b) Lower class limit is excluded (c) Lower class limit is included (d) None of the above Answer: […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[42728],"tags":[],"yoast_head":"\n