CHART FOR STATISTICAL ANALYSIS ANOVA One-way Analysis of Variance (ANOVA) is used with one categorical independent variable and one continuous variable. The independent variable can consist of any number of groups (levels). A statistical technique by which we can test if three or more means are equal. It tests if the value of a single variable differs significantly among three or more levels of a factor. Example: Problem: Susan Sound predicts that students will learn most effectively with a constant
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| Analyzing with ANOVA | Two-Way | | | 1/23/2013 | | Submit your answers to the following questions using the ANOVA source table below. The table depicts a two-way ANOVA in which gender has two groups (male and female)‚ marital status has three groups (married‚ single never married‚ divorced)‚ and the means refer to happiness scores (n = 100): a. What is/are the independent variable(s)? What is/are the dependent variable(s)? The independent variables are gender and marital status
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ANOVA Hypothesis Test ANOVA Hypothesis Test Living near a major city can be a positive aspect of being a homeowner or someone who uses real estate as an investment. Increasing population contributes to land and space diminishing‚ resulting in high demand for what is available. Industry and markets are in the city‚ attracting buyers who want to have the convenience of living near commercial properties. The difference in the pay scale between jobs in the city and jobs in the suburbs could
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A 4(amount of alcohol: 0‚ 2‚ 4‚ 6 pints) X 2(type of lighting: dim‚ bright) within subjects Factorial ANOVA was conducted on attactiveness scores of chosen mate. Mauchly’s test indicated that the assumption of sphericity had been assumed for the main effect of alcohol amount‚ χ²(5) = 4.70‚ p > .05 and alcohol amount and lighting type interaction effect‚ χ²(5) = 2.58‚ p > .05. There was a significant main effect of type of lighting on attractiveness of chosen mate‚ F (1‚ 25) = 23.42‚ p
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Individual Simulation Paper RES 342 May 6‚ 2012 Intro The body of the simulation was about the soil in Ralph’s fields and what was making Ralph’s crops fail every year. Through this simulation I chose to use the two-way ANOVA and nonparametric test to help me evaluate the effects of the diverse factors on two response variables‚ which were productivity and client satisfaction. My findings helped me to narrow down and identify the areas that needed most improvement. Three Lessons Learned
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ANOVA Hypothesis Testing Paper RES/342 July 5‚ 2011 University of Phoenix ANOVA Hypothesis Testing Paper According to Payscale.com an individual with a high school education entering the work force will earn less than an individual with the same level of education who has worked longer in that particular field (Harrison‚ 2010). Team A has selected data from the Wages and Wage Earners data set and will be using the analysis of variance‚ also known as ANOVA‚ to compare the mean of age
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SIMULATION • WHAT is Simulation ? • WHY is Simulation required ? • HOW is Simulation applied ? • WHERE is Simulation used ? DEFINITION • Simulation is a representation of reality through the use of model or other device‚ which will react in the same manner as reality under a given set of conditions. • Simulation is the use of system model that has the designed characteristic of reality in order to produce the essence of actual operation. • According to Donald G. Malcolm‚ simulation
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A. The simulation model B. The number of patients treated every week and the waiting time for each patient | Number of patients treated | Waiting time for each patient (Min) | Outpatient department | 39 | 2465 | Inpatient department | 542 | 3616 | C. Some changes in the resource levels I. Each shift includes 2 admission secretaries | Number of patients treated | Waiting time for each patient (Min) | Outpatient department | 39 | 2515 | Inpatient department | 544
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This simulation game was developed by Sisk (1976). Basically‚ there are ten imaginary countries (Shima‚ Myna‚ Ila‚ Usa‚ Pam‚ Bonay‚ Shivey‚ Lani‚ Ranu and Bili) and each of these countries has three key elements to be considered: defense‚ resources and demography. The main purpose of this game‚ understanding the importance of negotiation and interdependence between countries. I would like to make some changes in the game for my class. Every student or group will choose their imaginary country.
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Global Supply Chain Management Simulation Debrief Slides ©© Enspire Enspire Learning Learning and and Harvard Harvard Business Business School School (revised Dec 2010) 1 Board Members’ Objectives Member Objective Betty Forecasting: choice of options (consensus vs. mean) Doug Forecasting: choice of options (role of risk) Yvonne Stocking Levels: Weighing the costs of over/understocking Meryl Production flexibility: accurate response/ sourcing strategy (focus on flexibility) Paul Production
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