<> Data collection is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. z@ 0& x3R235W(*T0PR0T(Y@ z@ 0& Techniques of Data Collection. ,,72%l%ue/=r3|>}:|_o`F[. F&@I4z&`# ,C3Cf&zf`< ! Statistical tables are better known as Frequency Table or Frequency Distribution. Quantitative classification. endobj The most important difference between classification and tabulation are discussed in this article. The data in Statistics are classified as follows: Let us discuss the different types of data in Statistics herewith examples. \ W2 /Resources 38 0 R /Filter /FlateDecode /Length 63 >> 2. It can only be found out whether it is present or absent in the units of study. Welcome to Studypug's course in Statistics, on our first lesson we will learn about the methods for classification of data types since this will provide a useful introduction to the basics of this course, but before we enter into the concepts, do you know what is statistics? ch {X <> 44 0 obj 26 0 obj 3 A statistical classification is a classification having a set of discrete categories, which may be assigned to a specific variable registered in a statistical survey or in an administrative file, and used in the production and presentation of statistics . Example: the average weight of a particular class student is between 60 and 80 kgs. Classification is the grouping of related facts into classes. The answers will require some analysis if their salient points are to be brought out. stream <> x3R235W(*T0PR0T(Y@ For example take the class 40-50. Classification is an important part of data management that varies slightly from data characterization. /Resources 38 0 R /Filter /FlateDecode /Length 63 >> In any statistical investigation, the collection of the numerical data is the first and the most important matter to be attended. Study Material, Lecturing Notes, Assignment, Reference, Wiki description explanation, brief detail, Statistical Analysis : Classification of Data. In statistics, classification is the problem of identifying to which of a set of categories (sub-populations) an observation, (or observations) belongs to.Examples are assigning a given email to the "spam" or "non-spam" class, and assigning a diagnosis to a given patient based on observed characteristics of the patient (sex, blood pressure, presence or absence of certain symptoms, etc. endstream stream x3R235W(*T0PR0T(Y@ 28 0 obj <> !> z@ 0& 3.3 Categories of data: Any statistical data can be classified under two categories depending upon the sources utilized. endobj In this type of classification, the attribute under study cannot be measured. There are various data available which are unwritten in any format. endobj 52 0 obj Std11 stat em. 12 0 obj z@ 0& This type of data classification is more related to the structure of the data rather than the type of data This topic is mentioned because there is some mention of these data structures as data types in some statistics guides which may cause some confusion, and it endobj 33 0 obj They are z@ 0& z@ 0& endstream . 6 0 obj <> \ ^3 40 is the lower class limit and 50 is the upper class limit. ch {_ 13 0 obj But that is not in an easily assailable form. endobj Frequency distribution refers to data classified on the basis of some variable that can be measured such as prices, weight, height, wages etc. They are x3R235W(*T0PR0T(Y@ Each of these areas include some amount of statistical testing. z@ 0& Classification is all about sorting information and data, while categorization involves the actual systems that hold that information and data. 46 0 obj x3R235W(*T0PR0T(Y@ Data Collection and Analysis Introduction The research study can be classified in varied ways depending on the research methodology employed. 30 0 obj endstream z@ 0& <> stream endobj <> /Resources 38 0 R /Filter /FlateDecode /Length 64 >> /Resources 38 0 R /Filter /FlateDecode /Length 63 >> stream endstream <> Classification of Data The process of arranging data into homogenous groups or classes according to some common characteristics present in the data is called classification. By NDY ekwere. x3R235W(*T0PR0T(Y@ (iv) Class mid-point: Mid point of a class is formed out as follows. x3R235W(*T0PR0T(Y@ endobj z@ 0& <> 39 0 obj . That is quite useful to perform the statistics operation on the data without any hassle. Being data scientist, the kind of data analysis we do can be segregated into four broad areas Exploratory Data Analysis (EDA) 2. endstream xkr9d6YJ + ;V2`%UTk-KWn; N!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!L!hX[>68uZlQfv%c-6kQx@OaBaBaBaBaBa({z_.6e&&&&&&NxS-BBBBBB4^P,(QBBBBBB,%Yh72&&&&&(Q(zT>Y)Q'&&&&Dm*o!>@cBBBBBB= h+'u*Qo*zBBBBBB\E^8Q6l{ir &zO!L!L!L!L!L!la:5=iW9.=! ! ! ! ! !R8%;V0m1/G*-\f_>;>i_=&;/WQBBBBBDH]~(BBBBBe\Kju !L!L!L!L!L!(z|#_T_!=! ! ! ! ! !R8%;Q?e+QBBBBBB,3r9A=`[MF.S3=! ! ! ! ! !r)S4lpBS-7r?>3].'0!0!0!0!0!@^.~e&COaBaBaBaBaBaL.>hC:F'0!0!0!0!0!Y&z:(d'J ! ! ! ! !h7l)M-5nqX=}NBBBBBBkQ5l|S1Moj9nW\'0!0!0!0!0!0!Yt!LGV/|toi{u]zBBBBBB{p2l9}m nBBBBBki9-'VYMVdfY&~ FovJ I!L!L!L!L!la^#9S2T8 !L!L!L!L!L!LSCE7+X.nBBBBB99_qr]zBBBBBBBN8 |~9` !L!L!L!L!L!,P{l:W-p0f[%&&&&D/=! ! ! ! ! ! ! ! ! ! ! ! ! ! aQ~!/Qn|mo//_raG7EB?>>t. . Census Technique: When each and every unit of population under study is considered and collected for a statistical investigation. Example in the class 40-50 the class interval is 10 (i.e. endstream ch {C <> There are four types of classification. 8 0 obj Classification of Data :-The process of grouping data according to their characteristics is known as classification of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. . stream The collection of data is an important task in a statistical enquiry. Discrete data - Classification of data which takes exact numerical values (whole numbers) Eg: No of Children in a family, shoe size 8. Continuous data - Classification of data which takes numerical values within a certain range Eg: Weight of girl baby of one month is given as 3.8kg, but exact weight could be between 3.2 and 5.4 Classification is the process of arranging the collected data into classes and to subclasses according to their common characteristics. endstream c k !> According to the basic sources of collecting data may be classified into two types. Coverage (Simple and complex table) 2. 31 0 obj endstream Rows are horizontal arrangements whereas the columns are vertical ones. <> endobj ch {f Classification is the process of arranging the collected data into classes and to subclasses according to their common characteristics. 27 0 obj x3R235W(*T0PR0T(Y@ endobj endstream It is the different values of that quantity represented together in a set. . <> endstream The following Table shows the results of the annual examination of BA and B.Sc. . endstream z@ 0& endstream Qualitative or Categorical Data Qualitative data, also known as the categorical data, describes the data that fits into the categories. . \ z . c k 34 0 obj /Resources 38 0 R /Filter /FlateDecode /Length 63 >> A process of condensing data and presenting it in a compact form, by putting data into the statistical table, is called tabulation. stream Class interval:The difference between the upper and lower limitof a class is known as class interval of that class. z@ 0& endstream Data obtained by 5 0 obj Here 50 students is the frequency. 43 0 obj Copy link. 55 0 obj endobj /Resources 38 0 R /Filter /FlateDecode /Length 63 >> <> Objective / purpose (General purpose / Reference table / <> classification is broadly defined as the process of organizing data by relevant categorie stream endobj <> x3R235W(*T0PR0T(Y@ Info. /Resources 38 0 R /Filter /FlateDecode /Length 64 >> /Resources 38 0 R /Filter /FlateDecode /Length 64 >> stream <> 29 0 obj <> It is the way to organize the data in an efficient way. There are two types of data: Primary Data; Secondary Data; 1. There are z@ 0& endobj \ l5 x3R235W(*T0PR0T(Y@ endstream stream <> This can be of particular interest for legal discovery, risk management, and compliance. Two sources of data Primary & Secondary Primary data data collected by investigator himself secondary data data collected by someone and used by the investigator. The lowest value of the class is 40 and the highest value is 50. Data can be defined as a systematic record of a particular quantity. They are, When data are classified on the basis of location or areas, it is called geographical classification. \ s6 z@ 0& Primary data are the first-hand data and are original in character. z@ 0& Classification of data is an essential aspect of statistics. The collection of data is a primary need for statistical information. Often a person investigating, will have to collect the data from the actual field of inquiry. n Geographical (or spatial) classification Chronological classification Qualitative classification Quantitative classification Alphabetical classification 7. If the data are being collected for the first time for statistical treatment, they are known as primary data. Collection and Classification of Data ECONOMICS MODULE - 3 Introduction to Statistics Notes Open Schooling employees by approaching them, then it is primary data for him. Class limits:Class limits are the lowest and highest values thatcan be included in a class. x3R235W(*T0PR0T(Y@ z@ 0& stream stream x3R235W(*T0PR0T(Y@ endobj <> 20 0 obj 51 0 obj <> stream !>F weight of the students. Qualitative classification, stream endstream endstream Educational Development in India since 1951, Non - Formal Education (NFE) and Adult Literacy, Early childhood care and education programme in India, Statistical Analysis and Measures of Central Tendency, Difference between classification and Tabulation, Types of Diagrams : 1.Bar chart 2.Pie chart 3.Pictograms or cartograms, Adam Smith's Definition (Wealth Definition), Alfred Marshall's Definition (Welfare Definition), Lionel Robbins' definition (Scarcity Definition). Example:The students of a school may be classified according tothe weight as follows, There are two types of quantitative classification of data. 14 0 obj Chronological classification means classification on the basis of time, like months, years etc. c kz 50 minus 40). endobj 22 0 obj Collection of data,, classification and Tabulation (part 1) Watch later. endobj Collection of data is the first important aspect of statistical survey. x3R235W(*T0PR0T(Y@ Data Table: Example. endobj The process of arranging data into different categories, on the basis of nature, behaviour, or common characteristics is called classification. endobj Classification of data. <> endobj 9 0 obj <> x3R235W(*T0PR0T(Y@ z@ 0& Copyright 2018-2021 BrainKart.com; All Rights Reserved. x3R235W(*T0PR0T(Y@ In Qualitative classification, data are classified on the basis of some attributes or quality such as sex, colour of hair, literacy and religion. /Resources 38 0 R /Filter /FlateDecode /Length 64 >> There are four types of classification. /Resources 38 0 R /Filter /FlateDecode /Length 63 >> ch {J Classification of data. <> 3. 1) Census Technique. <> endstream 2.1 Introduction. endstream Geographical classification, \ zL Example:Classification of production of food grains in different statesin India. !> Example:Profits of a company from 2001 to 2005. 35 0 obj CLASSIFICATION AND TABULATION. z@ 0& This is because there are different types of research methods including quantitative, qualitative, applied research, experimental, quasi-experimental, meta-analysis, descriptive and other methods (Creswell, 2003). Download pdf. endstream x3R235W(*T0PR0T(Y@ <> !>& <> stream x3R235W(*T0PR0T(Y@ E.g. Variable refers to the characteristic that varies in magnitude or quantity. States Production of food grains. Classification is the grouping of related facts into classes. z@ 0& z@ 0& stream \ za They are, In this type of classification there are two elements (i) variable (ii) frequency.

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