Statistics for Business and Economics (13th Edition)
13th Edition
ISBN: 9780134506593
Author: James T. McClave, P. George Benson, Terry Sincich
Publisher: PEARSON
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Textbook Question
Chapter 5, Problem 5.73ACI
Errors in filling prescriptions A large number of preventable errors (e.g., overdoses, botched operations, misdiagnoses) are being made by doctors and nurses in U.S. hospitals. A study of a major metropolitan hospital revealed that of every 100 medications prescribed or dispensed, 1 was in error, but only 1 in 500 resulted in an error that caused significant problems for the patient. It is known that the hospital prescribes and dispenses 60,000 medications per year.
- a. What is the expected proportion of errors per year at this hospital? The expected proportion of significant errors per year?
- b. Within what limits would you expect the proportion significant errors per year to fall?
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Yale University
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Chapter 5 Solutions
Statistics for Business and Economics (13th Edition)
Ch. 5.1 - The probability distribution shown here describes...Ch. 5.1 - Consider the population described by the...Ch. 5.1 - Refer to Exercise 5.3 and find E (x) = Then use...Ch. 5.1 - Refer to Exercise 5.3. Assume that a random sample...Ch. 5.1 - In Example 5.3 we used a computer to generate 1...Ch. 5.2 - Consider the following probability distribution: x...Ch. 5.2 - Consider the following probability distribution: x...Ch. 5.2 - Consider the following probability distribution: x...Ch. 5.2 - Refer to Exercise 5.31. a. Show that x is an...Ch. 5.2 - Refer to Exercise 5.3. a. Find the sampling...
Ch. 5.2 - Refer to Exercise 5.5, in which we found the...Ch. 5.3 - Will the sampling distribution of x always be...Ch. 5.3 - Suppose a random sample of n = 25 measurements is...Ch. 5.3 - Suppose a random sample of n measurements is...Ch. 5.3 - A random sample of n = 64 observations is drawn...Ch. 5.3 - Refer to Exercise 5.18. Find the probability that...Ch. 5.3 - A random sample of n = 900 observations is...Ch. 5.3 - A random sample of n = 100 observations is...Ch. 5.3 - Open the applet Sampling Distributions. On the...Ch. 5.3 - Open the applet Sampling Distributions. On the...Ch. 5.3 - Voltage sags and swells. Refer to the Electrical...Ch. 5.3 - Salary of a travel management professional....Ch. 5.3 - Corporate sustainability of CPA firms. Refer to...Ch. 5.3 - Critical-part failures in NASCAR vehicles. Refer...Ch. 5.3 - Tomato as a taste modifier. Miraculin is a protein...Ch. 5.3 - Prob. 5.28ACICh. 5.3 - Levelness of concrete slabs. Geotechnical...Ch. 5.3 - Video game players and divided attention tasks....Ch. 5.3 - Exposure to a chemical in Teflon-coated cookware....Ch. 5.3 - Rental car fleet evaluation. National Car Rental...Ch. 5.3 - Prob. 5.34ACACh. 5.3 - Handwashing vs. handrubbing. The British Medical...Ch. 5.4 - Suppose a random sample of n measurements is...Ch. 5.4 - Suppose a random sample of n = 500 measurements is...Ch. 5.4 - A random sample of n = 80 measurements is drawn...Ch. 5.4 - A random sample of n = 250 measurements is drawn...Ch. 5.4 - A random sample of n = 1, 500 measurements is...Ch. 5.4 - Consider a population with values of x equal to 0...Ch. 5.4 - Dentists use of laughing gas. According to the...Ch. 5.4 - Cable TV subscriptions and cord cutters ....Ch. 5.4 - Do social robots walk or roll? Refer to the...Ch. 5.4 - Working on summer vacation. According to a Harris...Ch. 5.4 - Hospital work-related injuries. According to an...Ch. 5.4 - Hotel guest satisfaction. Refer to the results of...Ch. 5.4 - Stock market participation and IQ. Refer to The...Ch. 5.4 - Fingerprint expertise. Refer to the Psychological...Ch. 5.4 - Who prepares your tax return? As part of a study...Ch. 5.4 - Apps not working on smartphone. In a survey titled...Ch. 5 - The standard deviation (or, as it is usually...Ch. 5 - Consider a sample statistic A. As with all sample...Ch. 5 - A random sample of 40 observations is to be drawn...Ch. 5 - A random sample of n = 68 observations is selected...Ch. 5 - A random sample of n = 500 observations is...Ch. 5 - A random sample of n = 300 observations is...Ch. 5 - Use a statistical software package to generate 100...Ch. 5 - Use a statistical software package to generate 100...Ch. 5 - Suppose x equals the number of heads observed when...Ch. 5 - A random sample of size n is to be drawn from a...Ch. 5 - Requests to a Web server. In Exercise 4.175 (p....Ch. 5 - Improving SAT scores. Refer to the Chance (Winter...Ch. 5 - Study of why EMS workers leave the job. A study of...Ch. 5 - Downloading apps to your cell phone. Refer to...Ch. 5 - Surface roughness of pipe. Refer to the...Ch. 5 - Analysis of supplier lead time. Lead time is the...Ch. 5 - Producing machine bearings. To determine whether a...Ch. 5 - Quality control. Refer to Exercise 5.68. The mean...Ch. 5 - Length of job tenure. Researchers at the Terry...Ch. 5 - Switching banks after a merger. Banks that merge...Ch. 5 - Piercing rating of fencing safety jackets. A...Ch. 5 - Errors in filling prescriptions A large number of...Ch. 5 - Purchasing decision. A building contractor has...Ch. 5 - Motivation of drug dealers. Refer to the Applied...Ch. 5 - Soft-drink bottles. A soft-drink bottler purchases...
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- A company found that the daily sales revenue of its flagship product follows a normal distribution with a mean of $4500 and a standard deviation of $450. The company defines a "high-sales day" that is, any day with sales exceeding $4800. please provide a step by step on how to get the answers in excel Q: What percentage of days can the company expect to have "high-sales days" or sales greater than $4800? Q: What is the sales revenue threshold for the bottom 10% of days? (please note that 10% refers to the probability/area under bell curve towards the lower tail of bell curve) Provide answers in the yellow cellsarrow_forwardFind the critical value for a left-tailed test using the F distribution with a 0.025, degrees of freedom in the numerator=12, and degrees of freedom in the denominator = 50. A portion of the table of critical values of the F-distribution is provided. Click the icon to view the partial table of critical values of the F-distribution. What is the critical value? (Round to two decimal places as needed.)arrow_forwardA retail store manager claims that the average daily sales of the store are $1,500. You aim to test whether the actual average daily sales differ significantly from this claimed value. You can provide your answer by inserting a text box and the answer must include: Null hypothesis, Alternative hypothesis, Show answer (output table/summary table), and Conclusion based on the P value. Showing the calculation is a must. If calculation is missing,so please provide a step by step on the answers Numerical answers in the yellow cellsarrow_forward
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