Problem 13-11 (Algo)The state and local police departments are trying to analyze crime rates so they can shift their patrols from decreasing-rate areas toareas where rates are increasing. The city and county have been geographically segmented into areas containing 5,200 residences.The police recognize that not all crimes and offenses are reported: people do not want to become Involved, consider the offenses toosmall to report, are too embarrassed to make a police report, or do not take the time, among other reasons. Every month, because ofthis, the police are contacting by phone a random sample of 1,040 of the 5,200 residences for data on crime. (Respondents areguaranteed anonymity.) Here are the data collected for the past 12 months for one area:MONTHJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecemberCRIMEINCIDENCE111311111213111413151312PSpUCLLCLSAMPLE SIZE1,0401,0401,0401,0401,0401,0401,0401,0401,0401,0401,0401,040CRIME RATE88O The process is in control.O The process is out of control.88888a. Determine the P, Sp, UCL and LCL for a p-chart of 95 percent confidence (at Z=1.96). (Round your answers to 5 decimal places.)88b. If the next three months show crime incidences in this area asJanuary 10 (out of 1,040 sampled)February = 12 (out of 1,040 sampled)March = 11 (out of 1,040 sampled)What comments can you make regarding the crime rate?

Answered: Problem 13-11 (Algo) The state and…

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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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?
10 In the Focus Problem at the beginning of this chapter, a study was described comparing the hatch ratios of wood duck nesting boxes. Group I nesting boxes were well separated from each other and well hidden by available brush. There were a total of 483 eggs in group I boxes, of which a field count showed about 272 hatched. Group II nesting boxes were placed in highly visible locations and grouped closely together. There were a total of 815 eggs in group Il boxes, of which a field count showed about 274 hatched. USE SALT (a) Find a point estimate for p₁, the proportion of eggs that hatch in group I nest box placements. (Round your answer to four decimal places.) p 1= Find a 95% confidence interval for p₁. (Round your answers to three decimal places.) lower limit (b) Find a point estimate 2 for p2, the proportion of eggs that hatch in group II nest box placements. (Round your answer to four decimal places.) upper limit Find a 95% confidence interval for pz. (Round your answers to three…
2. Consider the foot length and foot width of six fermale grade 4 students in Morning Star Montessori School in 2006: Length of foot (cm) Y 20.9 Width of foot (cm) X 8.5 24 9 19.6 7.9 22.6 8.8 21 8.8 21.6 9.3 For the next five items, refer to the problem above, in the previous page. In addition to the female grade 4 students, below are some of the boys measurements: Width of foot (cm) Length of foot (cm) Y 8.4 8.8 9.7 9.8 8.9 9.7 22.4 23.4 22.5 23.2 23.1 23.7 6. What is the standard deviation of the X values (s.)?
Jillian Michaels and Bob Harper are all- time famous American trainers. Michaels thinks that her clients lose more weight on average than the clients of Harper. Harper naturally disagrees with Michaels. In order to settle the dispute, the two trainers agree to each work with 15 different clients for six months. The table below summarizes the weight loss (Ibs) of each group: J. В. Michaels Harper Mean 25 21 SD 5.1 2.5 Size 15 15 1. Assume normality in the population distribution, construct a 90% confidence interval for the population difference of the mean weight loss using the critical value of 1.76 (Note: all values are given, no R codes needed) 2. What does it mean to be at "90% confident"? Would the 95% confidence interval be wider or narrower? Would the margin of error be wider or narrower? (Note: no calculation is needed) 3. According to the confidence interval you found in part (a), what can be concluded about Michaels' claim? (Note: you do NOT need to do the 5-step significance…
2
Table 1: Birds counted at a New Jersey Wildlife Conservation Park Bird Species Ruby Throated Hummingbird House Sparrow Purple Martin Count Spring Summer Winter 21 32 0 21 19 14 3 25 21
INSTRUCTION: Compute the following given problem (direct answer and no need for explanation). NOTE: Round off your answer to two decimal places. Problem 1 (A-B): Compute the Number (Frequency) and Percentage of patients as Overweight belonging to 60-69 years old using the Raw Data of 40 patients. A. Answer for Number (Frequency) of Patients as Overweight belonging to 60-69 years old. B. Answer for Percentage (%) of Patients as Overweight belonging to 60-69 years old. Problem 2 (A-B): Compute the Number (Frequency) and Percentage of patients as Obese belonging to 70-79 years old using the Raw Data of 40 patients. A. Answer for Number (Frequency) of Patients as Obese belonging to 70-79 years old. B. Answer for Percentage (%) of Patients as Obese belonging to 70-79 years old.
This is a practice exam. I would like to know how to slove usign excel or megastat Wenton Powersports produces dune buggies. They have three assembly lines, “Razor,” “Blazer,” and “Tracer,” named after the particular dune buggy models produced on those lines. Each assembly line was originally designed using the same target production rate. However, over the years, various changes have been made to the lines. Accordingly, management wishes to determine whether the assembly lines are still operating at the same average hourly production rate. Production data (in dune buggies/hour) for the last eight hours are as follows. (You may find it useful to reference the F table.) Razor Blazer Tracer 11 10 9 10 8 9 8 11 10 10 9 9 9 11 8 9 10 7 12 11 8 12 8 9 Click here for the Excel Data File a. Specify the competing hypotheses to…
B. A manufacturing company is analyzing its accident record. The accidents fall into two categories: ➤Minor-dealt with by first aider: Average cost k50 ➤ Major-hospital required. Average cost k1,000 The company has 1,000 employees, of which 180 are office staff and the rest work in the factory. The analysis shows that 10% of employees have an accident each year and 20% of accidents are major. It is assumed that an employee has more than one accident in a year. (i) Determine the expected total cost of accidents in a year. On further analysis it is discovered that a member of office staff | half the probability of having an accident relative those in the factory. (ii) Show that the probability that a given a member of office staff has an accident in a year is 0.0549. (iii) Determine the probability that a randomly chosen employee who has had an accident is office staff.
In Delphi, there are three processing plants. The pay information for the representatives of these production lines is as per the following: No.of Employees Average income Total income Factory A 100 $8000 $800000 Factory B 80 $5000 $400000 Factory C 20 $20000 $400000 What is the normal pay of the assembly line laborers of Delphi?
B. A manufacturing company is analyzing its accident record. The accidents fall into two categories: ➤Minor-dealt with by first aider: Average cost k50 Major-hospital required. Average cost k1,000 The company has 1,000 employees, of which 180 are office staff and the rest work in the factory. The analysis shows that 10% of employees have an accident each year and 20% of accidents are major. It is assumed that an employee has more than one accident in a year. (i) Determine the expected total cost of accidents in a year. On further analysis it is discovered that a member of office staff has half the probability of having an accident relative those in the factory. (ii) Show that the probability that a given a member of office staff has an accident in a year is 0.0549. (iii) Determine the probability that a randomly chosen employee who has had an accident is office staff.
B. A manufacturing company is analyzing its accident record. The accidents fall into two categories: ➤Minor-dealt with by first aider: Average cost k50 ➤ Major-hospital required. Average cost k1,000 The company has 1,000 employees, of which 180 are office staff and the rest work in the factory. The analysis shows that 10% of employees have an accident each year and 20% of accidents are major. It is assumed that an employee has more than one accident in a year. (i) Determine the expected total cost of accidents in a year. On further analysis it is discovered that a member of office staff | half the probability of having an accident relative those in the factory. (ii) Show that the probability that a given a member of office staff has an accident in a year is 0.0549. (iii) Determine the probability that a randomly chosen employee who has had an accident is office staff.

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