Business statistics (Methods of Centre Measurement)
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This document discusses different methods of measuring the central tendency of a dataset, including the mean, median, and mode. The mean is calculated by summing all observations and dividing by the total number of observations. The median is the middle value of an ordered dataset. The mode is the most frequently occurring value. For skewed distributions, the median is a better measure than the mean because it is less influenced by outliers.
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文凭证书美国SDSU文凭圣地亚哥州立大学学生证学历认证查询
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Automation Platforms and Process Mining - success story
Automation Platforms and Process Mining - success storyProcess mining Evangelist
Zig Websoftware creates process management software for housing associations. Their workflow solution is used by the housing associations to, for instance, manage the process of finding and on-boarding a new tenant once the old tenant has moved out of an apartment.
Paul Kooij shows how they could help their customer WoonFriesland to improve the housing allocation process by analyzing the data from Zig's platform. Every day that a rental property is vacant costs the housing association money.
But why does it take so long to find new tenants? For WoonFriesland this was a black box. Paul explains how he used process mining to uncover hidden opportunities to reduce the vacancy time by 4,000 days within just the first six months.
Deloitte Analytics - Applying Process Mining in an audit context
Deloitte Analytics - Applying Process Mining in an audit contextProcess mining Evangelist Mieke Jans is a Manager at Deloitte Analytics Belgium. She learned about process mining from her PhD supervisor while she was collaborating with a large SAP-using company for her dissertation.
Mieke extended her research topic to investigate the data availability of process mining data in SAP and the new analysis possibilities that emerge from it. It took her 8-9 months to find the right data and prepare it for her process mining analysis. She needed insights from both process owners and IT experts. For example, one person knew exactly how the procurement process took place at the front end of SAP, and another person helped her with the structure of the SAP-tables. She then combined the knowledge of these different persons.
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How to regulate and control your it-outsourcing provider with process mining
How to regulate and control your it-outsourcing provider with process miningProcess mining Evangelist
Business statistics (Methods of Centre Measurement)
- 1. Methods of Centre Measurement (Measures of Central Tendency) Mean: Summing up all the observation and dividing by number of observations. Mean of 20, 30, 40 is (20+30+40)/3 = 30. n x n xxx x x nxxx n i i n n 121 ,21 ... variabletheofmeanThen the. variableaofnsobservatioare...,Let:Notation Centre Measurement is a summary measure of the overall level of a dataset Commonly used methods are Mean, Median, Mode, Geometric mean Harmonic Mean 1
- 2. Median and Mode Median: The middle value in an ordered sequence of observations. That is, to find the median we need to order the data set and then find the middle value. In case of an even number of observations the average of the two middle most values is the median. e.g Median of {9, 3, 6, 7, 5}, we first sort the data giving {3, 5, 6, 7, 9}, then choose the middle value 6. If the number of observations is even, e.g., {9, 3, 6, 7, 5, 2}, then the median is the average of the two middle values from the sorted sequence {2,3,5,6,7,9} in this case, (5 + 6) / 2 = 5.5. Mode: The value that is observed most frequently. The mode is undefined for sequences in which no observation is repeated. 2
- 3. Mean or Median The median is less sensitive to outliers (extreme scores) than the mean and thus a better measure than the mean for highly skewed distributions, e.g. family income. For example mean of 20, 30, 40, and 990 is (20+30+40+990)/4 =270. The median of these four observations is (30+40)/2 =35. Here 3 observations out of 4 lie between 20-40. So, the mean 270 really fails to give a realistic picture of the major part of the data. It is influenced by extreme value 990. 3