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telo118 [61]
3 years ago
14

In some years, weather patterns have caused there to be few fish in local lakes, and anglers have gone elsewhere. also, invasive

carp are threatening the lakes and may someday cause fish stocks to drop indefinitely. how should these facts impact dave and betsy's planning? they should develop a crisis response plan in case of a bad weather report or a carp sighting. they should set measurable goals for room occupancy and measure results against those goals weekly. they should develop a contingency plan in case few anglers book rooms. they should get input from guests and staff to the goal-setting process and resolve any conflicts among their staff about how best to maintain high occupancy.
Business
1 answer:
Yakvenalex [24]3 years ago
3 0
Two problems are identified to cause few fish in the local lakes: <span><span>1)               </span>Weather patterns</span> <span><span>2) </span>Threat from invasive carps</span> <span><span>Dave and Betsy should consider both in their planning, so the best plan which will have an impact is  ‘</span><span>they should develop a crisis response plan in case of a bad weather report or a carp sighting”. </span></span>
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I hope this answered your question. If you have any more questions feel free to ask away at Brainly.

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A hospital conducted a study of the waiting time in its emergency room. The hospital has a main campus and three satellite locat
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Answer:

Answer for the question:

A hospital conducted a study of the waiting time in its emergency room. The hospital has a main campus and three satellite locations. Management had a business objective of reducing waiting time for emergency room cases that did not require immediate attention. To study this, a random sample of 15 emergency room cases that did not require immediate attention were selected at each location on a particular day, and the waiting times were collected and stored – see dataset ERWaiting (the same dataset in both 13th and 14th edition, use either one). a) At the 0.05 level of significance, is there an evidence of a difference in the mean waiting times in the four locations? b) If appropriate, determine which pairs of locations differ in mean waiting time. c) At the 0.05 level of significance, is there an evidence of a difference in the variation in waiting times among the four locations

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Answer:

B. Top Management

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