Tammy Tan z3461062 ECON1203 Lee Lee Ooi ASB 232 (Mon 10:00 – 11:00) JGW - AllRepairs Business Analytics Department: Quality Control z3461062 Executive Summary This report will examine the success of JGW’s AllRepairs in maintaining a high quality of service and isolate any inefficiency in the provision of services. One concern of AllRepairs is in quality control and measures efficiency by the time it takes the mechanic to undertake the assigned task. In order to maximise chance of repeat
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Question 1 For your dissertation, you obtained data on the number of food products that twelve random customers bought at your local WeightRose store. The results are as follows: 1 3 2 3 12 3 5 9 8 6 2 4 a. What is the mean and median number of food products bought by these customers? (5 marks) b. Based on your answer under (a), and considering the mode, describe the shape of the distribution of these data. (5 marks) The sample standard deviation is (approximately)
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between 1.99 and 2.29 for each of the three variables. I measured volatility based on the standard deviation of the three variables. DPI is extremely volatile, while RIMPGS and REXPGS are not as volatile as DPI. It seems as if there is a strong correlation between the amounts of standard deviations compared to the kurtosis. There is a lack of asymmetry between the three variables, as there is no equivalence in various measurements. | |REXPGS |RIMPGS |DPI
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Abstract This paper describes the application of regression analysis for the workplace. Three sets of variables are investigated - benefits and intrinsic job satisfaction, benefits and extrinsic job satisfaction, and finally benefits and overall job satisfaction. The regression analysis is performed using Excel and the results are shown in this paper, along with a graph for each set. The results are analyzed for recommendation to the company. Introduction Regression analysis is performed on
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| | North | 3,93 | 3,35 | 3,76 | | Total | 4,40 | 3,71 | 4,28 | Total parts | Europe | 13,00 | 2,00 | 15,00 | | Latin | 10,00 | Does not exist | 10,00 | | North | 14,00 | 6,00 | 20,00 | | Total | 37,00 | 8,00 | 45,00 | Annex B1 Correlation Matrix | Price | Capacity | Weight | EER* | Unit | Latin | North | Europe | Reciprocating | Scroll | Price | 1 | | | | | | | | | | | | | | | | | | | | | Capacity | 0,323 | 1 | | | | | | | | | | 0,03 |
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Methods in the Empiric Analysis of Health Care Data GRANT H. SKREPNEK, PhD ABSTRACT OBJECTIVE: The aim of this paper is to provide health care decision makers with a conceptual foundation for regression analysis by describing the principles of correlation, regression, and residual assessment. SUMMARY: Researchers are often faced with the need to describe quantitatively the relationships between outcomes andpre d i c t o r s , with the objective of ex p l a i n i n g trends, testing hypotheses, or
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4/7/2014 Basic Statistics: An Overview Basic Statistics: Review Descriptive Statistics Scatter graph Measures of central tendency Mean Median, quartile, deciles, percentile Mode Weighted mean GM HM Measures of dispersion Range, IQR Semi IQR Mean deviation Standard deviation Variance Coeff of variation Inferential Statistics Populations Sampling Estimation of Parameters Point Estimation Interval Estimation Unbiased Minimum Variance
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decision. From the behavioral science stand point statistics is a tool that are used to discover systematic signs within asset of data, as well as guides decision making. Statistics are also used in the behavioral sciences for descriptive, inferential correlation, regression analysis of variance as well as nonparametric statistics (B, Michael, 2010).. | Differentiate between descriptive and inferential statistics. What information do they provide? What are their similarities and differences? Your answer
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statistic, correlation key in y1 x1 | |Y1 |X1 | |Y1 | 1.000000 | 0.941745 | |X1 | 0.941745 | 1.000000 | correlation for y1 x1=0.941745 , Y1 and X1 are highly positive correlated | Y2 |X2 | |Y1 1.000000 | 0.936865 | | X1 0.936865 | 1.000000 | correlation for Y2 X2=
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Coefficient Variation • The ratio of the standard deviation to the mean. • Percent of the mean • The coefficient of variation describes the standard deviation as a fraction of the mean, giving you a standard measure of variability. 2 variables • Scatter diagrams provide a visual summary of the relationship between two variables. • Time series o Time series are extremely useful because they
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