important contributory factors that affect its acceptance. E-learning still is a long way from having any lasting impacts on the educational structure of Pakistan. The adoption of e learning may have taken place but these incidents are considered outliers as its use has not become pervasive yet. METHODOLOGY: Both primary and secondary research will be used in the course of this research. Secondary research will be conducted using previous papers already published on the subject matter. Primary
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PRINCIPLES OF DATA QUALITY Arthur D. Chapman1 Although most data gathering disciples treat error as an embarrassing issue to be expunged‚ the error inherent in [spatial] data deserves closer attention and public understanding …because error provides a critical component in judging fitness for use. (Chrisman 1991). Australian Biodiversity Information Services PO Box 7491‚ Toowoomba South‚ Qld‚ Australia email: papers.digit@gbif.org 1 © 2005‚ Global Biodiversity Information Facility Material
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data‚ we found several outliers‚ so we eliminate these outliers. Then we found that the dependent variables are numerical‚ and some values are focused in a narrow range‚ like variable density‚ ranging from 0.98 to 1.02 ‚ so in the initial analysis‚ we decided not to bin them. Also we observed the correlation of each variable; since we mainly want to make prediction‚ even though some variables are correlated‚ we didn’t eliminate them.Overall‚ we just eliminate several outliers of this data set. 2
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MBSRQ Users’ Manual (Cash‚ 2000). Checking for univariate outliers in the numeric rating scales (BAS-2‚ MBSRQ-AS‚ RSES) and subscales (AE‚ BASS) was done separately on the condition 1 and condition 2 dataset. Outliers was defined as scores above the sum of the interquartile range (IQR) multiplied with a factor of 1.5 added to the 75 % IQR value‚ or below the difference of subtracting the IQR times 1.5 from the 25 % IQR value. No univariate outliers were identified in either condition. Reliability of
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addition‚ skim milk‚ as opposed to whole milk‚ is a homogenous mixture‚ as the fat particles have been removed in the complex filtration process‚ but still containing the original organic compounds in its molecular structure before the process. If the outlier was not included in the graph‚ there would again not be a significant trend‚ suggesting that the concentration of hydronium ions do not directly affect the amount of indicator used. Compared with a purer substance‚ such as vinegar (CH3COOH)‚ which
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p-value is .000 which is less than 5 percent. For a distribution to be considered normal‚ p-value has to be greater than 5% (Field‚ 2013). However‚ the number of the sample (N=115) is large enough to consider it a non-issue. Also‚ the boxplot shows 2 outliers in
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Aim – to see if there is a positive relationship between having a good memory and being rich in the future Hypothesis – there will be a significant positive relationship between the scores on a memory test and scored on a test to predict your chance of being a millionaire Null Hypothesis – there will be no significant relationship between scores on a memory test and scores on a test measuring the chances of becoming a millionaire and any relationship is due to chance Method: Design – the
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STAT 231 (Winter 2012 - 1121) Honours Statistics Prof. R. Metzger University of Waterloo A LTEXer: W. Kong Last Revision: April 3‚ 2012 Table of Contents 1 PPDAC 1.1 1.2 1.3 1.4 1.5 2 Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Plan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Analysis . . . . .
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Running head: PROCESS IMPROVEMENT PLAN Process Improvement Plan YOUR NAME HERE University of Phoenix OPS/571 – Operations Management DATE HERE Process Improvement Plan Successful organizations continuously strive to improve the processes they have in place. Process improvement leads to better quality control‚ higher efficiencies and lower costs. In order to implement a process improvement plan‚ it is necessary to collect and analyze data from the process. In this paper‚ I present
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deviation‚ range and variance. These descriptive methods provide the researcher graphical understanding of the data frequency. Helpful graphics‚ such as the five-number summary displayed by a box plot‚ alerts the researcher to outliers in the data and the affect these outliers have on the statistics (Weiss & Weiss‚
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