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Question

The numerical value that is assigned to a response at the time of analysing the data is called as.

The correct answer is
Code

Understanding Response Values in Data Analysis

When analyzing data, especially from surveys or questionnaires, responses often need to be converted into a format that computers can process and analyze statistically. This involves assigning numerical values to different answers.

The Role of Numerical Values in Data Analysis

Data analysis requires consistent and quantifiable data. Often, responses are non-numerical (like 'Yes', 'No', 'Male', 'Female', or satisfaction levels like 'Very Satisfied', 'Satisfied', 'Dissatisfied'). To perform calculations and comparisons, these categories are assigned specific numerical representations. The term for this specific numerical representation assigned to a response is crucial in research methodology.

Defining Key Terms in Data Analysis

Let's look at the definitions of the terms provided:

  • Code: In data analysis, a code is a specific numerical or symbolic value assigned to represent a particular response category or answer to a question. For instance, 'Yes' might be assigned the code 1, and 'No' the code 0. Similarly, 'Male' could be 1 and 'Female' could be 2. This numerical value itself is the code.
  • Coding: This refers to the process of assigning these numerical or symbolic values (codes) to the responses. It's the action or method used to create the codes.
  • Variable: A variable is a characteristic, number, or quantity that can be measured or counted. It's the item being studied, and its value can change. For example, 'Gender' or 'Satisfaction Level' are variables, and the assigned codes (like 1 for Male, 2 for Female) are the values the variable can take.
  • Case View: This term typically refers to a way of viewing data where each row represents a single instance or observation (a 'case'), such as a respondent in a survey. It's about how the data is displayed, not the value assigned to a response.

Identifying the Correct Term

The question specifically asks for the name of the numerical value that is assigned to a response during analysis. Based on the definitions:

  • Coding is the process, not the value itself.
  • A Variable is the broader concept being measured.
  • Case View relates to data presentation.
  • A Code is the specific numerical value assigned to represent a response category.

Therefore, the numerical value assigned to a response is termed a 'Code'.

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Important Questions from Data Analysis

  1. The quartile deviation of Normal Distribution is

  2. A set of sample of 20 places of mean annual rainfall were randomly selected from a normally distributed universe that has mean annual rainfall of 320 cm. The sample mean was recorded 250 cm with standard deviation of 150 cm. Which one of the following significance tests is correct for the selected samples ?

  3. Match List-I with List-II :

    List-I

    List-II

    (a)

    The most commonly used method of computing correlation between two variables

    (i)

    Intra-class correlation

    (b)

    An ANOVA technique used for estimating reliability of a measure

    (ii)

    Inter-class correlation

    (c)

    A technique used for estimating reliability of multiple-trials tests

    (iii)

    Inter-tester reliability

    (d)

    A form of reliability that pertains to the testers

    (iv)

    Coefficient alpha

    Select the correct option :

  4. Given below are two statements

    Statement I: Paired t-test is used to compare two related means (μ 1 and µ 2)

    Statement II: The t-test is a method used for inferential statistics

    In light of the above statements, choose the most appropriate answer from the options given below

  5. Match the items of List I with the items of List II and choose the correct answer from the code given below.

    List I

    List II

    (a)

    Descriptive statistics

    (i)

    Regression equation

    (b)

    Relationship statistics

    (ii)

    t-test

    (c)

    Predictive statistics

    (iii)

    Karl Pearson’s correlation

    (d)

    Comparative statistics

    (iv)

    Chi-square

    (e)

    Non-parametric statistics

    (v)

    Standard deviation

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