QNT/351 Week 3 � Summarizing and Presenting Data
This assignment covers methods for summarizing and presenting statistical data in business and research settings.
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Week 3 – Summarizing and Presenting Data
Name
QNT/351
Date
Instructor Name
Summarizing and Presenting Data
Ballard Integrated Managed Services, Inc. (BIMS) performed an instrument of measure
by implementing a survey to its employees. The purpose of the employee survey via paycheck
submission was to attempt to determine possible reasons for high employee turnover rates. Data
analysis is a vital function for companies to accurately interpret survey results and helps
companies make the necessary operational adjustments to remain competitive and be successful.
This paper will examine six questions from the BIMS survey and analyze the data using
descriptive statistics. Suggestions to the BIMS management team to improve their employee
turnover rate will be presented based on the data analysis.
Question 1 – How well do you enjoy working for BIMS?
BIMS staff used numeric codes to describe the nominal, ordinal, and interval data. The
data is organized and assessed to evaluate the procedures that were implemented. Appendix A is
a BIMS staff coded employee numerical survey. Descriptive statistics were used to present a
profile of the data, including averages, mean, median, and mode to describe the group scores or
ratings. With the use of ordinal measurements, BIMS staff can use mode, the most common
value, or median, the middle ranking, to determine the central tendency.
Name
QNT/351
Date
Instructor Name
Summarizing and Presenting Data
Ballard Integrated Managed Services, Inc. (BIMS) performed an instrument of measure
by implementing a survey to its employees. The purpose of the employee survey via paycheck
submission was to attempt to determine possible reasons for high employee turnover rates. Data
analysis is a vital function for companies to accurately interpret survey results and helps
companies make the necessary operational adjustments to remain competitive and be successful.
This paper will examine six questions from the BIMS survey and analyze the data using
descriptive statistics. Suggestions to the BIMS management team to improve their employee
turnover rate will be presented based on the data analysis.
Question 1 – How well do you enjoy working for BIMS?
BIMS staff used numeric codes to describe the nominal, ordinal, and interval data. The
data is organized and assessed to evaluate the procedures that were implemented. Appendix A is
a BIMS staff coded employee numerical survey. Descriptive statistics were used to present a
profile of the data, including averages, mean, median, and mode to describe the group scores or
ratings. With the use of ordinal measurements, BIMS staff can use mode, the most common
value, or median, the middle ranking, to determine the central tendency.
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Document Details
University
University of Phoenix
Subject
Statistics