QNT 351 - Entire Week 3
Learning Team – Summarizing and Presenting Data (Ballard Integrated Managed Services, Inc.)
If using RES/351 data:
Summarize the data collected from your Week 2 team assignment using descriptive statistics. Descriptive statistics should be in the forms of frequency distribution table, measures of mean, median, mode, standard deviation, and graphical display of data.
Summarize the statistics in relation to the problem selected and research questions and draw conclusions.
Prepare a 1,050- to 1,750-word report of conclusions drawn from the data and make recommendations to the management.
Support recommendations by citing literature consistent with APA guidelines.
If using the Ballard Integrated Managed Services, Inc., (BIMS) case study overview:
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.
Support recommendations by citing literature consistent with APA guidelines.
Discussion Question 1 : An oil change shop advertised to change oil within 15 minutes. Based on the data collected on a typical day, what is the probability that oil change will take 15 minutes or less time? Based on the data, do you think the business claim is valid? Explain why or why not.
Discussion Question 2 : What are the characteristics of standard normal distribution? The HR department of an organization collects data on employees’ age, salary, level of education, gender, and ethnicity. Which data do you think is more likely to follow normal distribution? Explain why.
Discussion Question 3 : What is the role of probability concepts in business decision-making? Provide specific examples.
QNT 351 - Entire Week 3
Learning Team – Summarizing and Presenting Data (Ballard Integrated Managed Services, Inc.)
If using RES/351 data:
Summarize the data collected from your Week 2 team assignment using descriptive statistics. Descriptive statistics should be in the forms of frequency distribution table, measures of mean, median, mode, standard deviation, and graphical d
