Data Presentation

Data Presentation

After collecting the right data from the sample population, it is vital to choose an effective presentation method that aligns with the nature of the data set (Kirk, 2008). This is then followed by an analysis method, for instance a descriptive or a statistical analysis technique. This analysis presents the data gathered from a survey of 10 people.

Research Problem

The investigation sought to determine the quality of the banking industry in the United States. The measure of central tendency that are appropriate for this study include the mode. Since the researcher is interested in knowing the frequency spread of each data input, the measure will help to classify data into their respective frequencies. The measure of dispersion includes the Range. It helps the researcher determine the difference between the smallest value and the largest value in the data set.

Data Analysis and Editing

The survey will use questionnaires to collect qualitative data from a sample population of 10 respondents.  The variables include the banking service (independent variable)  in the United States and customers’ satisfaction (dependent variable). According to the interview session, 5 respondents were satisfied with the level of bank services, 3 stated that the services are moderate as compared to other developed countries, 1 respondent confirmed that the services are not satisfactory, and 1 respondent confessed that he did not know much about the nature of banking services in America.

Interactive method of editing will be used to get rid of logistical errors. It comprises the checking of the data set during and after entry with the aim of detecting erroneous data. The goal is to free the survey from errors that may lead to false outcomes.

Coding Method

Since this is an interview data collection exercise, the research will adopt open coding method to categorize the data set (Salomon, 2002). It involves the search for distinct categories and concepts in the data, so that they can be used as the basis for analyzing the research problem.

variable Frequency (out of 10) Percentage of Total
satisfied 5 50
Not satisfied 3 30
moderate 1 10
Don’t know 1 10

References

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Kirk, R. E. (2008). Statistics: An Introduction. Belmont, CA: Thomson/Wadsworth.

Rubin, A., & Babbie, E. R. (2010). Essential Research Methods For Social Work. Belmont, CA: Brooks/Cole, Cengage Learning.

Salomon, D. (2002). A Guide To Data Compression Methods. New York: Springer.

Sharma, J. K. (2012). Business Statistics. New Delhi: Dorling Kindersley.

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