enough Profit after tax to live. So‚ taking it one step further to your own income: Income = Profit – Tax Income So‚ let’s say that you need £26k to live on (you can choose this figure depending on the living you require – but this is the average salary at the moment). Taking tax into account‚ your profit would therefore need to be at least £35k. Profit…! Profit is the amount of money which you can legitimately take out of your business. In wedding photography you can achieve £35k per
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dishonest D. some people who claimed on the survey to be dishonest may have been answering honestly E. some people who are not job applicants are probably at least a little dishonest 2. The average life expectancy for the United States population as a whole is 73.9 years‚ but children born in Hawaii will live an average of 77 years‚ and those born in Louisiana‚ 71.7 years. If a newlywed couple from Louisiana were to begin their family in Hawaii‚ therefore‚ their children would be expected to live longer
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TECHNOLOGICAL EDUCATION INSTITUTE of CENTRAL MACEDONIA FACULTY of ADMINISTRATION & ECONOMY DEPARTMENT OF BUSINESS ADMINISTRATION MBA IN HOSPITALITY AND TOURISM e-business in tourism Module Leader: Vrana Vasiliki Purpose of this project is to measure the quantity of offered information through destination websites The selected countries are: Spain Italy Monaco Ireland Holland DATA INFORMATION WEBSITE FEATURES COMMUNICATION CONTACT AND MULTIMEDIA TRAVEL AND TOURISM ACTIVITIES
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Journal of Financial Economics 14 (1985) 3-31. USING North-Holland DAILY STOCK RETURNS The Case of Event Studies* Stephen J. BROWN Yale Universiry. New Haven‚ CT 06520‚ USA Jerold B. WARNER Universrty of Rochester‚ Rochester‚ NY 1462 7‚ USA Received November 1983‚ fmal version received August 1984 This paper examines properties of daily stock returns and how the particular characteristics of these data affect event study methodologies. Daily data generally present few difficulties for
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PROPOSAL Based on the information provided at the DHC Case‚ like the local work population trend and workers survey‚ the DHC project cannot become self supporting at the term of three years; the losses forecasted after the third year are $ 105‚828. Refer to analysis on pages 3 and 4. To revert these forecasted results an Offensive Strategy Market Plan must be outlined‚ and the principal proposed actions to develop are: • Creating awareness and improving image in the community to increase and
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Candidate ID: 61269507 B Please affix Status : .............................. FOR OFFICE USE ONLY A your Passport Size INFOSYS LIMITED TC / Unit : .......................... Photograph here. Electronics City‚ Hosur Road‚Bangalore - 560 100‚India. Tel.: (080) 28520261-270. Fax: (080) 28520362. Role : ................................. APPLICATION FOR FRESHERS NAME OF THE COLLEGE : .................................................................................
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policyholder age‚ vehicle type‚ and vehicle age * To find out the reasons for the claims * To find out which group of vehicle is taken for more claims Analysis: Statistics of Data | | Policyholder age | Vehicle group | Vehicle age | Average cost of claims | Number of claims | N | Valid | 128 | 128 | 128 | 123 | 128 | | Missing | 0 | 0 | 0 | 5 | 0 | Mean | 4.50 | 2.50 | 2.50 | 231.14 | 69.86 | | | | | | | Comments: The mean cost of claims is 231 Rs and mean Number of
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example given in the lecture in your own words? The mean is a weighted average of the possible values a certain variable can take. The mean provides the long-run average of a variable. The variance of a variable measures the spread or variability of the distribution. The example given in the lecture can be explained like this: if the mean increases‚ the graph moves to the right‚ because a higher mean is a higher average. Increase in variance however‚ does not makes the graph move‚ but it changes
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are put in an orderly appendix. Risk and Return 1. The historical return since IPO a. What is the arithmetic and geometric average annualized total return of your stock? Also‚ plot the cumulative total return of the stock. b. Compare both the average and cumulative return to the S&P500 and an investment in one month t-bills. c. Describe why the historical average return on your stock may not be a useful predictor of the future return. 2. Your company’s (systematic) risk a. Calculate volatility
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your own. 1. In your own words‚ explain what parameters and statistics are and what the difference is between them. Give an example to clarify. (10 points) 2. According to Consumer Reports‚ a random sample of 35 new cars gave an average of 21.1 mpg. What is the variable being studied? What is the implied population? What is the sample? Is the variable qualitative or quantitative? Is the variable discrete‚ continuous or neither? (10 points) 3. A national survey
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