Applied Managerial Decision Making MGMT600-1301B-03 Phase 3 individual project Rocklyn Kee Colorado Technical University Online Professor Donald Pratl March 11‚ 2013 There are 500 employees in the sales force of Company W that are spread out over Southeast‚ Northeast‚ West‚ and Central regions. The company has recently incorporated a new software program in and attempt to monitor how many sales are generated by each employee. It is expected that each month each region should sell the same
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Pharmaceutical Biology‚ 2012; 50(10): 1241–1247 © 2012 Informa Healthcare USA‚ Inc. ISSN 1388-0209 print/ISSN 1744-5116 online DOI: 10.3109/13880209.2012.666253 RESEARCH ARTICLE Prosopis cineraria: A potential nootropic agent Bhawani Singh Bithu‚ N. Ranga Reddy‚ Satyendra K. Prasad‚ Krishnamurthy Sairam‚ and S. Hemalatha Pharmaceutical Biology Downloaded from informahealthcare.com by 117.239.94.110 on 03/24/13 For personal use only. Department of Pharmaceutics‚ Institute of Technology
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different groups that have a common mean. In my unit we have so many different sections which can be considered groups‚ so when we have a common goal or mean this test can help me to determine all the data between each section. Recommendation This analysis helped me to understand how important quality is. By doing the simulation I can recommend that looking into the quality and the looking into the life cycle of the project will help to determine any problems that the project may be having. Looking
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current employment affect the students’ willingness to get a BSN. The sample consists of 95 Valencia Community College (VCC) students in the 2-year nursing degree program. This sample size is based Jacob Cohen’s requirement for statistical power analysis of a one-way ANOVA test (Cohen‚ 1992). In order to reduce the possibility of errors‚ a medium effect size is selected with an a level of .01 at a power of .80. With a small a value‚ there is a decreased risk of a Type I error where the null hypothesis
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Retention measurement techniques: Kim et al [209] ‚used universal testing machine to compared the changes in retentive force of three commercially available attachment systems (Kerator blue‚ O-ring red‚ and EZ lock). The crosshead speed for the simulation was set at 60 mm/min. The lower mounting was seated on the fixed part of this machine‚ while the upper mounting was attached to the operation part. The specimen was placed in a position such that the force could be applied in a perpendicular
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CHAPTER IV This chapter presents the answers to the following research problems: Problem 1: 1. What is the socio-demographic profile among selected guests of Giligan’s Island Restaurant‚ Dasmariñas‚ Cavite in terms of: Table 1 the Frequency Percentage Distribution on is the socio-demographic profile among selected guests of Giligan’s Island Restaurant‚ Dasmariñas‚ Cavite in terms of Gender Gender | Rank | Frequency | Percent | Male | 1 | 28 | 56.0 | Female | 2 | 22 | 44.0 | Total
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Two-Way ANOVA Two-way ANOVA is similar to one-way ANOVA in all aspects except that in this case additional independent variable is introduced. Each independent variable includes two or more variants. Take the Demonstration problem 11.3 on page number 437 of KEN BLACK Feed the data as shown below: And the values as: 1 1 3.47 1 2 3.43 1 3 3.44 1 4 3.46 1 5 3.46 1 6 3.44 2 1 3.40 2 2 3.41 2 3 3.41 2 4 3.45 2 5 3.40 2 6 3.43 3 1 3.38 3 2 3.42 3 3 3.43 3 4 3.40 3 5 3.39 3
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Background of the Study According to United Nations Population Fund (2007)‚ “In 2008‚ for the first time in history‚ more than half of the world’s population will be living in towns and cities. By 2030 this number will swell to almost 5 billion‚ with urban growth concentrated in Africa and Asia.” There are many factors that affect the increase or decrease of a population. Common factors include birthrate‚ medical advances‚ productivity‚ and so on. There have been a lot of debates and discussions
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Variables - any factor that can change in amount or kind over time. Eg age‚ time‚ IQ‚ memory etc An experiment tests the cause-effect relationship between variables Independent variable – the variable that is systematically manipulated‚ changed or varied in some way by the experimenter‚ in order to assess its effect on participant’s responses (DV) Dependent variable – the variable that the experimenter is measuring‚ shows any effects of the IV It is called the DV because whether or not it will
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Worked example from Tutorial 8 8.3 Three laboratories‚ A‚ B‚ and C‚ are used by food manufacturing companies for making nutrition analyses of their products. The following data are the fat contents (in grams) of the same weight of three similar types of peanut butter. | |Laboratory | |Peanut Butter |A |B |C |D | |Brand 1 |16
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