BIMS Case Study Tutorial: Parts 1 and 2
The QNT/351 BIMS Case Study tutorial contains all the necessary information to understand this complex case study. Comprehensive team essays are included for both part 1 and part 2. Beautiful charts and tables have been developed to help you understand the data presented in this problem. A PowerPoint presentation is also included with a total of 10 slides. We understand how challenging descriptive statistics can be and we've broken down this tutorial into its simplest form. Detailed visual aids are used throughout the tutorial to provide deeper insight into the data.
What's Included in the BIMS Tutorial?
- Full Team Essays with Explanations, Part 1 and Part 2
- All cleaned data, descriptive statistics tables, frequency tables, and charts in MS Excel
- 10 Slide Power Point Presentation
- Unlimited Support from the ACCNerd Tutor Team
Part 1: Ballard Integrated Managed Services, Inc. (BIMS). Present the BIMS situation as an overview—problem, purpose, research questions, and hypotheses. Describe the instrument used for data collection.Code the data if you have not done so. Describe how the data is coded and evaluate the procedure used.Clean the data by eliminating the data input errors made. Note: You will need to include your clean data to demonstrate you meet this requirement. Draw conclusions about appropriateness of the data to meet the purpose of the study.
Part 2: Ballard Integrated Managed Services, Inc., (BIMS) case study. 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 report of conclusions drawn from the data and make recommendations to the management. Support recommendations by citing literature consistent with APA guidelines.You’re a consultant that analyzes and interprets this second set of data. The intent is to increase senior management’s understanding of the sources of employee dissatisfaction and to create a model that predicts employee resignation. Combine your Week Two assignment and Week Three findings with Week Five findings and make a recommendation to BIMS. Use the statistical tables given in the appendices of the textbook and a statistical analysis application: a Microsoft® Excel® spreadsheet, Minitab® statistical software, JMP®, or SPSS™ software. Prepare written report for the senior management team to present your findings (see Exhibit D for the data set of the second survey).