DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information. Gives us precise & consistent information because clarifications can be made. Questions not fully understood by the respondent
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55426-1347 GeneralMills.com Annual Report 2013 Healthy Growth General Mills Our Mission at General Mills Is Nourishing Lives Our Fiscal 2013 Financial Highlights 52 weeks ended May 26‚ 2013 In millions‚ except per share and return on capital data Net Sales 52 weeks ended May 27‚ 2012 $ 17‚774 We believe that doing well for our shareholders goes hand in hand with doing well for our consumers‚ our communities and our planet. Our efforts include providing convenient‚ nutritious food around
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doctor has charted Dexter’s mass and related it to his BMI (Body Mass Index). A BMI between 20 and 26 is considered healthy. The data is shown in the following table. Mass(kg)62 72 66 79 85 82 92 88 BMI 19 22 20 24 26 25 28 27 (a) Create a scatter plot for the data. (b) Describe any trends in the data. Explain. (c) Construct a median–median line for the data. Write a question that requires the median– median line to make a prediction. (d) Determine the equation of the median–median line
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Queenie 1097300104 E5B Data Analysis First Part Personal information: including the participants’ gender‚ age‚ educational background‚ marital status and monthly income. Gender As Figure 1 showed‚ there were 45% of female participants and 55% of male. The numbers of the participants of each gender were very close. Age The respondents were all my friends on Facebook; as the result‚ the majority (73%) of their age was in the range of 16-20‚ as seen in Figure 2. Figure 1: Gender
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(3995+L+11*Q) There are three variables in this equation‚ with the assumption; this model is realistic enough‚ if I was Sanjay‚ I will consider what the shape of the probability distribution of X is‚ and the measurement of this distribution to make risk analysis. a). Without considering the partnership opportunity‚ to solve the case‚ we run a Crystal Ball simulation with 1000 trials. The assumption variables are P‚ Q‚ and L‚ and the forecast variable is X. We found that Sanjay’s sample mean monthly salary
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Case Study Italian retailer Unicomm selects Huawei RH5885 V2 server for its SAP HANA database and S7700 and S5700 switches. Huawei’s SAP HANA application came about as a result of a successful switching project and helps Unicomm to analyse sales data in real time. “With the SAP HANA solution‚ we needed a partner that was ready to support us in every way possible. By helping us to stay in budget and to adopt a system that could grow in line with company requirements‚ Huawei really delivered.” Federico
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it for any other purpose. DATE: 06/10/2013 Introduction: In data mining it is said that “success or failure often depends not only on how well you are able to collect data but also on how well you are able to convert them into knowledge that will help you better manage your business (Wilson‚ 2001‚ p. 26).” Tourism and hospitality industry generates massive amount of data. In each and every transaction there is set of data generated. In tourism and hospitality‚ knowing your customer is very
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employees. Current Strategy: Mantas‚ Inc.‚ a leading global provider of advanced solutions for compliance and risk management including anti-money laundering (AML)‚ broker and trading compliance‚ fraud detection‚ and operational risk analysis‚ today announced its partnership with Habib Bank Ltd.‚ the largest bank in Pakistan.
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UNCLASSIFIED UNCLASSIFIED 1 Open Data Strategy June 2012 UNCLASSIFIED UNCLASSIFIED 2 Contents Summary ................................................................................................... 3 Introduction ................................................................................................ 5 Information Principles for the UK Public Sector ......................................... 6 Big Data .......................................................................
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CUSTOMER DATA In the term of customer data‚ technology now day give a big role to evaluate the concepts by the overall to moving ownership of the customer when they are away from the individual departments and different it at the enterprise level. In the customer relationship management concept‚ individual that in the each department has responsible for the customer. The success factor for Customer Relationship Management (CRM) is by deploying technology that provides various levels of data access
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