12. A management technique developed by Kurt Lewin, a pioneer in the field of social sciences, for diagnosing situations. A great decision-making tool to identify the forces for and against a course of action. Group of answer choices Histogram Ishikawa Diagram 5S Pareto Charts Control Charts Force Field Analysis Check Sheets None of the choices Flowchart

12. A management technique developed by Kurt Lewin, a pioneer in the field of social sciences, for diagnosing situations. A great decision-making tool to identify the forces for and against a course of action. Group of answer choices Histogram Ishikawa Diagram 5S Pareto Charts Control Charts Force Field Analysis Check Sheets None of the choices Flowchart

Understanding Business

12th Edition

ISBN:9781259929434

Author:William Nickels

Publisher:William Nickels

Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment

Section: Chapter Questions

Problem 1CE

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Develop a Pareto chart of the following causes of poor grades on an exam: Choose the correct Pareto chart below. Number 1 2 3 4 5678 o 9 Reason for Poor Grade Insufficient time to complete Late arrival to exam Difficulty understanding material Insufficient preparation time Studied wrong material Distractions in exam room Calculator batteries died during exam Forgot exam was scheduled Felt ill during exam Frequency 67222SM. 15 25 9 1 3 4
Consider the following data that is relevant for this decision: Year Tea(L per person) Coffee(L per person) 1994 42.4 95.85 1995 42.12 97.28 1996 47.61 87.62 1997 60.86 92.04 1998 55.58 99.21 1999 50.61 95.63 2000 49.89 97.42 2001 56.77 93.93 2002 62.53 95.67 2003 68.31 99.25 2004 69.88 101.31 2005 72.99 101.68 2006 71.36 104.02 2007 90.78 106.09 2008 74.7 105.8 2009 67.15 102.15 2010 67.03 101.15 2011 87.83 104.05 2012 93.4 102.7 2013 78.9 105.28 2014 111.32 106.3 2015 98.39 104.96 2016 105.25 103.57 Create scatter plots for Coffee vs. Year and Tea vs. Year and Coffee vs. Tea. Create and record the lines of best fit for each and the correlation coefficient.
Will the use of decision tree analysis guarantee the best decision for a i rm? Why or why not? If not, why bother using it?
1. Give a specific example and scenario in Hospitality Industry that we can apply the Data Analysis Cycle. Identify the Problem Identify Available Data Sources Identify if Additional Data Sources are needed Statistical Analysis Implementation and Development Communicate Results Maintenance
9 A survey can provide insight about why a certain demographic makes a particular decision. True False
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Cick on The x C blever | Portal Freckle Student Dashboard Dashboard 6 BigBlueButton Independern x udent.freckled Clever | Portal clever.com Probability -1r You can earn'S coins Eunice selected a random sample of Seattle residents and polled them about traffic solutions. Which population could Eunice draw conclusions about? A) entire Seattle population B) Seattle homeowners C) Seattle residents who own a car D) Seattle residents who take the bus A B Submit rch
. Prepare a scatter diagram for each of these data sets and then express in words the apparent relationship between the two variables. Put the first variable on the horizontal axis and the secondvariable on the vertical axis.b. Temperature (°F) 65 63 72 66 82 58 75 86 77 65 79Error rate 1 2 0 0 3 3 1 5 2 1 3
3) The major variable is the central idea of the entire literature. Its sub-variables help specify which particular aspect of the major variable is being referred to. The indicators, on the other hand, are specific information that describes the sub-variables. Examples: Major variable: Study habits Sub-variable: Time required for studying, methods of studying, and place for studying Indicators: Employing patterned time intervals for effective studying: using mnemonics in memorizing the terms; and studying in one's ideal environment Instructions: Identify the major variables, sub-variables, and indicators of the examples of literature review. Example 3: On leadership Competencies and Management Skills (refer to the photo for the details)
’cause-effect graphing’ which was sometimes used to help derive the decision table