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MODE

NAME: TRIVEDI POOJA CHETANKUMAR
CLASS: MBA SEM- 1
SUBJECT: RESEARCH METHODOLOGY
ROLL NO: 14
TOPIC: MODE
SUBMIT TO: DEPARTMENT OF BUSINESS
ADMINISTRATION FACULTY OF MANAGEMENT
BHAVNAGAR UNIVERSITY
GUIDED BY: DR. JAY M. BADIYANI




DATE                                  SIGNATURE OF STUDENT

F1=frequency of class predicting modal class f2=frequency succeeding modal class of class
MODE


        1     Mode is the most commonly or frequently occurring values in a series. The mode in a
distribution is that item around which there is maximum concentration. Mode is a positional average
and is not affected by the values of extreme items. Mode is particular useful in the study of popular
sizes.For example, a manufacturer of shoes is usually interested in finding out the size most in
demand. So that he may manufacture a large quantity of that size.

2          Some data sets do not have a mode because his happens when the data set has two or more
values of equal frequency which is greater than that each value occurs only once. On the other hand, some
data sets can have more than one mode. Mode is rarely used as a summary statistic except to describe a
bimodal distribution. In a bimodal distribution, the taller peak is called the major mode and the shorter
one is the minor mode.

ADVANTAGES

    1. used for data measured in a nominal scale.
    2. It can be calculated easily.

Disadvantages

    1. It is not used in statistical analysis as it is not algebraically defined and the fluctuation in
       the frequency of observation is more when the sample size is small.



        3 Literally, the mode is strictly a measure of the most popular (frequent) value in a
        dataset and is often not a of 10 senior house officers (SHOs) asked which form of
        continual professional development (CPD) activity they preferred in preparation for a
        forthcoming examination, the following responses were obtained: viva practice 5, tutorial
        3, in-theatre teaching 2, lecture 0. The mode of this dataset is viva practice as it is the
        largest (most popular) category. We might say that a ‘typical’ SHO prefers viva
        practice and plan the CPD time accordingly.



    4 MODE=l +{f1 –f0} xh

                 {2f1-f0 –f2}



    l = Lower limit of modal class       f0=frequency of class preding the modal class




F1=frequency of class predicting modal class f2=frequency succeeding modal class of class
MODE

REFERENCE

   1. Research Methodology methods and techniques [second revised edition] C.R.Kothari

   2.http://www.ncbi.nlm.nih.gov/pmc/articles/PM[3157145            DATE ;2-11-12

   3.oxfodjournals org/content                   DATE ;2-11-12

   4.http://www.2classnotes.com/images/uploads/epaper/admin.




F1=frequency of class predicting modal class f2=frequency succeeding modal class of class

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Pooja trivedi mode assignment

  • 1. MODE NAME: TRIVEDI POOJA CHETANKUMAR CLASS: MBA SEM- 1 SUBJECT: RESEARCH METHODOLOGY ROLL NO: 14 TOPIC: MODE SUBMIT TO: DEPARTMENT OF BUSINESS ADMINISTRATION FACULTY OF MANAGEMENT BHAVNAGAR UNIVERSITY GUIDED BY: DR. JAY M. BADIYANI DATE SIGNATURE OF STUDENT F1=frequency of class predicting modal class f2=frequency succeeding modal class of class
  • 2. MODE 1 Mode is the most commonly or frequently occurring values in a series. The mode in a distribution is that item around which there is maximum concentration. Mode is a positional average and is not affected by the values of extreme items. Mode is particular useful in the study of popular sizes.For example, a manufacturer of shoes is usually interested in finding out the size most in demand. So that he may manufacture a large quantity of that size. 2 Some data sets do not have a mode because his happens when the data set has two or more values of equal frequency which is greater than that each value occurs only once. On the other hand, some data sets can have more than one mode. Mode is rarely used as a summary statistic except to describe a bimodal distribution. In a bimodal distribution, the taller peak is called the major mode and the shorter one is the minor mode. ADVANTAGES 1. used for data measured in a nominal scale. 2. It can be calculated easily. Disadvantages 1. It is not used in statistical analysis as it is not algebraically defined and the fluctuation in the frequency of observation is more when the sample size is small. 3 Literally, the mode is strictly a measure of the most popular (frequent) value in a dataset and is often not a of 10 senior house officers (SHOs) asked which form of continual professional development (CPD) activity they preferred in preparation for a forthcoming examination, the following responses were obtained: viva practice 5, tutorial 3, in-theatre teaching 2, lecture 0. The mode of this dataset is viva practice as it is the largest (most popular) category. We might say that a ‘typical’ SHO prefers viva practice and plan the CPD time accordingly. 4 MODE=l +{f1 –f0} xh {2f1-f0 –f2} l = Lower limit of modal class f0=frequency of class preding the modal class F1=frequency of class predicting modal class f2=frequency succeeding modal class of class
  • 3. MODE REFERENCE 1. Research Methodology methods and techniques [second revised edition] C.R.Kothari 2.http://www.ncbi.nlm.nih.gov/pmc/articles/PM[3157145 DATE ;2-11-12 3.oxfodjournals org/content DATE ;2-11-12 4.http://www.2classnotes.com/images/uploads/epaper/admin. F1=frequency of class predicting modal class f2=frequency succeeding modal class of class