QNT/351 Week 3,

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Revise the report submitted in Week Two based on the feedback provided by the instructor in the Learning Team assignment, and insight gained by reading.
Analyze the data included in BIMS case study Part 1 by computing descriptive statistics in the form of tables, charts, measures of central tendency, and variability.
Prepare a 1,050- to 1,750-word report of conclusions drawn from the data and make recommendations to the management.
NEED TO FIX WHATS WRONG WITH MY ASSIGNMENT IN THE RED PRINT ITS WHAT YOU DID FOR ME AND IN THE BLUE ITS WHAT MY TEACHER SAID I NEEDED TO FIX. MINIUM 300 WORDS PLEASE THIS IS A TEAM ASSIGNMENT ONLY FIX MY PART PLEASE
QNT/351 Week 2, Assignment
Level of measurement for the variables
Normally there are four levels of measurements. In order of precision, the data is measured through the following levels of measurement:

  • Nominal
  • Ordinal
  • Interval
  • Ratio

Among these measurements the nominal level is simply for classification purposes whereas the ordinal, interval and ratio become more specific. For the provided data in the BIMS, questions one to ten are ordinal measurements whereas part A is nominal, part B is ratio, part C and D are nominal. The questions asked from one to ten qualify to be ordinal because they depict a relationship between the numbers from strongly disagree at 1 to strongly agree at 5. Depending on the number chosen by the respondent, it can be plotted as either very negative, negative moderate, positive or very positive. On the other hand parts A, C and D are nominal in the sense that they classify the respondents into different categories of divisions or management. Lastly, part B is a ratio measurement because it precisely depicts the number of years and months the respondents have worked for the company.
Describe how the data is coded and evaluate the procedure used
In every research data is collected; the collected data is normally in its raw form. For the data to make sense, it must be analyzed. To analyze the original data is very cumbersome. Take for instance the data presented in the case study, they would be a bunch of numbers with yeses and no’s and no one would understand them a bit. Coding therefore allows the researcher to reduce extremely large quantities of data into small quantities that can easily be managed and handled. In order to code data the following procedure is followed religiously:

  • Preparation of the data collection instruments
  • Preparation of the codebook
  • Preparation of data matrix worksheets
  • Instructions for data entry and analysis
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  • Describe how the data is coded and evaluate the procedure used
  •                 In every research data is collected; the collected data is normally in its raw form. For the data to make sense, it must be analyzed. To analyze the original data is very cumbersome. Take for instance the data presented in the case study, they would be a bunch of numbers with yeses and no’s and no one would understand them a bit. Coding therefore allows the researcher to reduce extremely large quantities of data into small quantities that can easily be managed and handled. In order to code data the following procedure is followed religiously; Preparation of the data collection instruments, Preparation of the codebook, Preparation of data matrix worksheets, Instructions for data entry and analysis.

 
 
Reference
Fogiel, M. (2000). Statistics. Piscataway, NJ: Research & Education Association.
 
 
 
 

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