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    ARELLANO UNIVERSITY Jose Abad Santos Campus Pasay City PRACTICES ON ACCOMMODATION AND HOUSEKEEPING IN SELECTED STANDARD HOTELS LOCATED WITHIN MANILA: AN ASSESSMENT A Thesis Proposal Presented to The FACULTY OF ARELLANO UNIVERSITY Jose Abad Santos Campus‚ Pasay City In Partial Fulfillment of the Requirements for the Degree of Bachelor of Science in Hotel‚ Restaurant‚ and Institution Management By: Monica Trisha Amistad Katherine Kay Ann Blancaflor Cathy Magsanay

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    briefly look at two techniques for finding objects in images. First‚ we look at segmentation of a given image into a small number of regions based on a distance threshold. Then we look at a matched filtering approach to detecting objects‚ called template matching. Object Segmentation We can extend the region-growing algorithm to detect objects in color images. The basic algorithm must be modified to compute distance on the YUV or Lab coordinates. In addition‚ a raster scan of the pixels can detect undefined

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    however as it is only partial information and not the population‚ the period of time in which the data is selected from would affect the end results of analysis. The report is divided into two sections outlining the statistical analysis of data and hypothesis testing to observe if CCResort have met their 2 major key performance indicators (KPIs) 1 More than 40% of their customers stay for a full week (i.e. seven nights); 2 The average customer spends more than $255 per day in excess of accommodation

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    Michael Jensen writes‚ “There is no other proposition in economics which has more solid empirical evidence supporting it than the Efficient Market Hypothesis.” The term ‘Efficient Market Hypothesis’ (EMH) is concerned with the behavior of prices in asset markets. It was initially applied to the stock market‚ but the concept was soon generalized to other asset markets. EMH has also been a subject of debate since its inception

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    Sunway Academic Journal 2‚ 13–22 (2005) EXPORT-LED GROWTH HYPOTHESIS IN MALAYSIA: AN INVESTIGATION USING BOUNDS TEST CHOONG CHEE KEONGa Universiti Tunku Abdul Rahman ZULKORNAIN YUSOP Universiti Putra Malaysia VENUS LIEW KHIM SEN Universiti Malaysia Sabah ABSTRACT The objective of this paper is to test the validity of the export-led growth hypothesis in the Malaysian economy using a more comprehensive sample period and a recent technique‚ that is‚ the bounds testing approach. Based on

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    the number possible outcomes that you are interested in divided by the total number of possible outcomes associated with an event * null hypothesis significance testing (NHST) * the null hypothesis states that there is no effect in the population of interest * if the probability of obtaining the data is high‚ the null hypothesis is true * no effect in the population *

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    Matching Dell 1. Describe Dell’s strategy. 2. What are the key trade-offs involved in Dell’s strategic positioning? One trade-off is Dell’s strategic positioning of personalized computers refrains it from the benefits of supply-side economies of scale. The personalized products and customer-centric services mean higher cost. The other trade-off is that Dell loses sales opportunities to a variety of distributors by focusing on direct sales. Although the strategic positioning of direct sales can

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    The Semi - Strong Form of the efficient market hypothesis One of the major theories that form the basis of financial market is the efficient market hypothesis. The extreme position of those who advocate the efficient market hypothesis claims that all the market requires is basic financial information. The semi-strong form of the efficient market hypothesis states that the market incorporates all the known information about a stock‚ the current price reflects this information‚ and this information

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    T-test A t-test is a hypothesis test in which the test statistic follows a Student’s t-distribution under the null hypothesis. There are several different test statistics that fall into the category of a t-test. One-Sample t-test x  0 s n df  n  1 t Independent Two-Sample t-test t x1  x2 2 sx1x2 n  1 2 2 sx1  sx2 2 df  2n  2 sx1x2   Unequal Sample Size Two-Sample t-test t x1  x2 1 1 sx1x2  n1 n2 sx1x2   n1  1 sx2   n2

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    Hypothesis Testing: Two-Sample Case for the Mean Many cases in the social sciences involve a hypothesis about the difference between two groups (i.e. men and women‚ control and experiment). We analyze statistics from two samples‚ and the hypothesis and confidence interval would deal with the difference between two population means. The following factors are important in hypothesis testing: 1. probability theory 2. the sampling distribution of the statistic 3. the errors inherent

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