At the Express House Delivery Service, providing high-quality service to customers is the toppriority of the management. The company guarantees a refund of all charges if a package itis delivering does not arrive at its destination by the specified time. It is known from past datathat despite all efforts, 2% of the packages mailed through this company do not arrive at theirdestinations within the specified time. Suppose a corporation mails 10 packages throughExpress House Delivery Service on a certain day.(a) Find the probability that exactly one of these 10 packages will not arrive at its desti-nation within the specified time.

Answered: Image /qna-images/answer/7f04ed56-a6a9-4472-a8d3-43e911b3fe62.jpg

Answered: At the Express House Delivery Service,…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The owner of a small deli is trying to decide whether to discontinue selling magazines. He suspects that only 9.7% of his customers buy a magazine and he thinks that he might be able to use the display space to sell something more profitable. Before making a final decision, he decides that for one day he will keep track of the number of customers that buy a magazine. Assuming his suspicion that 9.7% of his customers buy a magazine is correct, what is the probability that exactly 6 out of the first 13 customers buy a magazine? 0.000305894 0.00100664 0.000699781 0.000778757 0.000204114 0.000326183
Your hospital is negotiating with medical insurance providers, who would like to reduce the amount they pay as reimbursement for hospital stays. For a particular procedure, they would like to reduce payment by $300 and have patients go home one day earlier. To see what effect this would have on hospital costs, a random sample of 50 patients who were recently admitted for this procedure was analyzed. Had they left one day earlier, the average hospital cost would have been $322.44 less, and the standard deviation was found to be $21.71. Construct a 95% confidence interval for the mean net savings for the hospital, per patient, for the larger population of recent patients.
A salon owner estimates the number of clients she is expecting during the festive season to be 20% during Monday to Wednesday, 20% on Thursday and 60% over the weekend. She therefore hires additional staff to assist during the weekend to meet the client demand. She however only observes 30% during Monday to Wednesday, 20% on Thursday and 50% over the weekend in the first week of December. The salon owner is uncertain whether she should reduce the planned staff for the December festive period due the observed trend or not. She conducts a statistical test at α = 0.05 to determine if the observed trend fits the expected trend. Which of the following statements is true? A. The conclusion of the test is that she should not keep the additional staff for the weekend. B. The df for this test is 3. C. The p-value is greater than α. D. The null hypothesis is that the observed trend is different to the expected trend. E. The test statistic is χ2 = 5.33.
Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.A sample of 80 stocks traded on the NYSE that day showed that 11 went up.You are conducting a study to see if the proportion of stocks that went up is is significantly less than 0.3. You use a significance level of α=0.02α=0.02.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value = The p-value is... less than (or equal to) αα greater than αα This test statistic leads to a decision to... reject the null accept the null fail…
Mariah Jacobsen is the marketing manager at ABC Electronics, a major consumer electronics supplier in the northwest. Over the last five years, sales of the company's flagship product - the Wizer Anonymizer (the WA) - have been 45000, 45500, 44500, 46000 and 44000 units. This rate of sales is considered average for the product over the last twenty years or so. Ms. Jacobsen believes that the distribution of the WA's sales is normal with a standard deviation of 1500 units. If she were asked to make a forecast of next year's sales to upper management, what is the likelihood that she would be correct if she predicts sales between 43000 and 46000?
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Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2017, 9 of the 30 stocks making up the DJIA increased in price. On the basis of this fact, a financial analyst claims we can assume that 55% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day. A sample of 79 stocks traded on the NYSE that day showed that 48 went up. You are conducting a study to see if the proportion of stocks that went up is significantly different from 55%. You use a significance level of a = 0.025. 1. For this study, we should use Select an answer 2. The null and alternative hypotheses would be: Ho:? v Select an answer v (please enter a decimal) Hi:? vSelect an answer v (Please enter a decimal) 3. The test statistic (please show your answer to 3 decimal places.) 4. The p-value = (Please show your answer to 4 decimal places.) 5. The p-value is ? va 6. Based on this, we should Select an…
Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2017, 9 of the 30 stocks making up the DJIA increased in price.On the basis of this fact, a financial analyst claims we can assume that 54% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day. A sample of 74 stocks traded on the NYSE that day showed that 35 went up. You are conducting a study to see if the proportion of stocks that went up is significantly smaller than 54%. You use a significance level of α=0.05α=0.05. how to you come up with the test statistic and p value using excel
Express House Delivery Service provides high quality service to customers. The company guarantees a refund of all charges if a package it is delivering does not arrive at its destination by the specified time. It is known from past data that despite all efforts, 2% of the packages mailed through this company do not arrive at their destinations within the specified time. Suppose a corporation mails 10 packages through Express House Delivery Service on a certain day.
A gerontologist investigating various aspects of aging process wanted to see whether staying “ lean and mean, “ that is, being under normal body inbred line to one of three diets: (1) unlimited access to food, (2) 90% of the amount of food that a rat of size would normally eat, or (3) 80% of amount of food that a rat of the size would normally eat. She maintained the rats on three diets throughout their lives and recorded their lifespans (in years). Five rates in each group. Is there evidence that diet affected life span in this study? Let α= 0.01 Complete the ANOVA table . Source of variation df SS MS Fc Treatment 2 1.575 Error 12 Total 14 5.60 A) Hypothesis Test H0: H1: B) Test Statistic C) Decision Rule d) Conclusion *(please with equations and explanation) and thamnk you
According to a study administered by the National Bureau of Economic Research, half of Americans would struggle to come up with $2000 in the event of a financial emergency. The majority of the 1900 Americans surveyed said they would rely on more than one method to come up with emergency funds if required. In the survey, 397 people said that they "certainly" would not be able to cope with an unexpected $2000 bill if they had to come up with the money in 30 days, and 553 people said they "probably" would not be able to cope. Step 1 of 2 : What percentage of Americans "certainly" would not be able to produce $2000 in the event of an emergency according to the study? Round your answer to one decimal place, if necessary.

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