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In the case at the end of 3, you calculated the average food and beverage check for the 4C Company s 84-seat restaurant in Year 2004. The restaurant was open for 52 weeks, 6 days a week for lunch, and 5 days a week for dinner. An analysis of sales checks indicated that the average turnover was 1.5 times for lunch and 1.25 times for dinner. Lunch contributes about 45 percent of total sales revenue and dinner, 55 percent. Total beverage sales revenue is 20 percent at lunch and 80 percent at dinner. a. Calculate the average lunch and average dinner checks for food and beverages. This information will be used in a later case. b. Suggest to Charlie a number of ways in which he could attempt to raise the average check and the total food and beverage sales revenue for Year 2005. c. In part b, one of the ways might be to substitute, on the food menu, items with a low selling price for items with a high selling price. Write a short report to Charlie about the effect this might have on the restaurant s guests, its food cost percentage, and its gross margin and net income.

813 Q .

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Jim nez-Colmenero, F, M Reig, and F Toldr 2006 New approaches for the development of functional meat products In Advanced Technologies for Meat Processing, edited by L M L Nollet and F Toldr Boca Raton, Fla: CRC Press Kemp, J D, D F O Abidoye, B E Langlois, J B Franklin, and J D Fox 1980 Effect of curing ingredients, skinning, and boning on yield, quality, and micro ora of country hams Journal of Food Science 45:174 177 Kemp, J D, B E Langlois, A E Johnson 1982 Effect of pre-cure freezing and thawing on the micro ora, fat characteristics and palatability of dry-cured ham Journal of Food Protection 45:244 248 Leak, F W, J D Kemp, B E Langlois, and J D Fox 1984 Effect of tumbling and tumbling time on quality and micro ora of dry-cured hams Journal of Food Science 49:695 698.

ndings were similar in sign and magnitude, although the standard errors of parameter estimates were higher under the second strategy because of a loss of statistical power How Can You Deal With Repeated Events Many events of interest to psychologists are repeatable Indeed, with the exception of initial onset, most other events ongoing use, abuse, hospitalization, treatment, relapse, employment, unemployment can occur over and over throughout an individual s lifetime When studying the timing of potentially repeatable events, make every attempt to note the spell number under study because the natural course of a rst spell may differ from the natural course of second and subsequent spells So, too, the ef cacy of treatment may vary depending on how many prior spells the individual has experienced.

Recognizing the dif culties associated with this issue, Kupfer, Frank, and Perel (1989) designed a study to investigate differential recovery patterns across multiple spells when studying patients with recurrent depression Separately analyzing the time to stabilization in two consecutive episodes, they found virtually identical median lifetimes (between 11 and 12 weeks) But they also found that the ef cacy of treatment varied across spells: Early intervention in the second episode, as opposed to the rst episode, worked particularly well We believe that the unidenti ed presence of multiple spells in a single data set may help explain some of the major puzzles in psychological research Researchers studying addiction relapse, for example, have noted renewed abstinence on the part of formerly abstinent people who relapsed early after quitting They argue that previous treatment, even unsuccessful treatment, may increase the probability of success of subsequent treatments.

Similarly, when reviewing the literature on depression, Klerman (1978) demonstrated that some of the observed variation in relapse rates was attributable to researchers failure to note how many prior episodes of depression each subject had For How Long Should You Collect Data Once the clock starts, it must eventually stop Clocks in retrospective studies stop on the date of interview; clocks in prospective studies can, at least in theory, continue inde nitely As a practical matter, though, most prospective studies follow a sample for a nite period of time The length of data collection determines the amount of right censoring (hereafter referred to as censoring) Because longer data collection periods yield fewer censored observations, the simple maxim.

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