1. What is the Guest – Innkeeper Relationship? An innkeeper owes certain duties to those who use the hote’s facilities - Right to be Received. If propery is stolen‚ te extent of the hotel’s liability will be directly impacted by whether or not the property owner is a guest. A hotel owes a duty to guests but not to others who refeain from insulting or humiliating them - Right to be entertained The outcome of many lawsuits turns on whether or not the plaintiff is a guest. 2. Who is
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expected average outcome over many observations.The common symbol for the mean (also known as the expected value of X) is ‚ formally defined by Variance - The variance of a discrete random variable X measures the spread‚ or variability‚ of the distribution‚ and is defined by The standard deviation is the square root of the variance. Expectation - The expected value (or mean) of X‚ where X is a discrete random variable‚ is a weighted average of the possible values that X can take‚ each value
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Probability distribution Definition with example: The total set of all the probabilities of a random variable to attain all the possible values. Let me give an example. We toss a coin 3 times and try to find what the probability of obtaining head is? Here the event of getting head is known as the random variable. Now what are the possible values of the random variable‚ i.e. what is the possible number of times that head might occur? It is 0 (head never occurs)‚ 1 (head occurs once out of 2 tosses)
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HEAD: CADBURY BEVERAGES INC. CASE ANALYSIS Cadbury Beverages Inc. Case Analysis October 3‚ 2010 Cadbury Beverages‚ Inc. Case Analysis Marketing executives at Cadbury Beverages‚ Inc. want to re-launch the following brands: Crush‚ Hires‚ and Sun-Drop soft drinks. However‚ Cadbury has seen several challenges arise in the eve of their next attempt to lead the market. Senior marketing executives decided to focus generally on the Crush brand of fruit flavored carbonated beverages. The key issues
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IIUM Students’ perception towards the efficiency of zakat management: Distribution in Malaysia Haron bin Rashid International Islamic University Malaysia 1 Abstract This paper about the study of IIUM Students’ perception towards the efficiency of zakat management: distribution in Malaysia. All subjects were selected from International Islamic University Malaysia (IIUM) and the data were collected using the sampling technique used for the selection of these students that were chosen randomly
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A REPORT ON FOOD AND BEVERAGE OPERATIONS BY Javed Hussain Attar Introduction: This paper is mainly about the establishment of a gym in a five-star hotel which consists of 400 bedrooms. Being an Executive Chef in the above mentioned hotel I am responsible to establish a small restaurant in the gym. The gym is open for all the customers and the staff as well. The restaurant should contain the food and also the beverages. Both the food and beverages should be healthy and hygienic as it helps
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Frequency Distribution (A) Introduction 1. Ungrouped data versus grouped data Ungrouped data (Raw data): It is a list of individual observed values of the random variable Grouped data (a frequency distribution): It is a table that displays the data in grouping along with the number of occurrences that fall into each group. 2. The components of a frequency distribution a. Class limits: They identify the inclusive values in a class of a frequency distribution The
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Channel levels Most businesses use third parties or intermediaries to bring their products to market. They try to forge a "distribution channel" which can be defined as "all the organisations through which a product must pass between its point of production and consumption" Why does a business give the job of selling its products to intermediaries? After all‚ using intermediaries means giving up some control over how products are sold and who they are sold to. The answer lies in efficiency of
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1. מלאו את הטבלאות ב Exhibit 4 & 5 לצורך חישוב התוצאה הצפוייה לכל תרחיש שוק מטרה במונחי הכנסות מפרסום והכנסה נטו. אנא צרו את הטבלאות בעצמכם‚ יש להגיש את הטבלאות המודפסות‚ ובנוסף .HBS Ad Revenue Calculator | | | | | | Current | 2007 Base | Scenario 1 | Scenario 2 | Scenario 3 | TV HH | 110‚000‚000 | 110‚000‚000 | 110‚000‚000 | 110‚000‚000 | 110‚000‚000 | Average Rating | 1.00% | 1.00% | 1.20% | 0.80% | 1.20% | Average Viewers (thousand) | 1‚100 | 1‚100 | 1‚320 | 880 | 1
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NORMAL DISTRIBUTION 1. Find the distribution: a. b. c. d. e. f. following probabilities‚ the random variable Z has standard normal P (0< Z < 1.43) P (0.11 < Z < 1.98) P (-0.39 < Z < 1.22) P (Z < 0.92) P (Z > -1.78) P (Z < -2.08) 2. Determine the areas under the standard normal curve between –z and +z: ♦ z = 0.5 ♦ z = 2.0 Find the two values of z in standard normal distribution so that: P(-z < Z < +z) = 0.84 3. At a university‚ the average height of 500 students of a course is 1.70 m; the standard
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