Network forensic analysis. A network forensic analyst is responsible for identifying worms, viruses, and infected nodes in the computer network. A new methodology for finding patterns in data that signify infections was investigated in IEEE Transactions on Information Forensics and Security (May, 2013). The method uses multiple filters to check strings of information. For this exercise, consider a data string of length 4 bytes (positions), where each byte is either a 0 or a 1 (e.g., 0010). Also, consider two possible strings, named S1 and S2. In a simple single-filter system, the
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Chapter 4 Solutions
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- Which of the following is a benefit of a within-groups design over a between-groups design?arrow_forwardThe Government of Pakistan publishes information about Corona virus Cases in Pakistan. The following contingency table provides a cross classification of cities of Pakistan and Covid-19 Stats. City Covid-19 Stats Confirmed Cases Active Cases Deaths Recoveries AJK 271 95 6 170 Balochistan 4514 2900 49 1565 Islamabad 2898 2694 30 169 KPK 10485 7030 482 2973 Punjab 27850 20194 540 7116 Sindh 29647 14554 503 14590 At the 5% significance level, do the data provide sufficient evidence to conclude than an association exists between cities and Covid-19 stats?arrow_forwardA state game commission introduces 40 deer into newly acquired state game lands. The population N of the herd can be modeled byarrow_forward
- Johnson Filtration, Inc. provides maintenance service for water-filtration systems. Suppose that in addition to information on the number of months since the machine was serviced and whether a mechanical or an electrical repair was necessary, the managers obtained a list showing which repairperson performed the service. Repair Time(hours) Months SinceLast Service Type ofRepair Repairperson 2.9 2 electrical Dave Newton 3.0 6 mechanical Dave Newton 4.8 8 electrical Bob Jones 1.8 3 mechanical Dave Newton 2.9 2 electrical Dave Newton 4.9 7 electrical Bob Jones 4.2 9 mechanical Bob Jones 4.8 8 mechanical Bob Jones 4.4 4 electrical Bob Jones 4.5 6 electrical Dave Newton Ignore for now the months since the last maintenance service (x1 ) and the repairperson who performed the service. Develop the estimated simple linear regression equation to predict the repair time (y) given the…arrow_forwardAs you read about each study, (a) classify the type of research that it reflects, and (b) identify the kinds of conclusions that might reasonably be drawn from the results. The director of computer technology in Emerson School District wants to gather information about the use of technology-based instruction in language arts and literature classes in the district's middle schools and high schools. For her study, the director identifies five of the top teachers in these content areas. She visits and observes each teacher's classes on three different days and subsequently interviews each teacher. Then she summarizes the ways that these teachers incorporate the use of technology into their lessons and their students' activities. The director also summarizes teachers' beliefs about the roles of technology in students' learning and motivation. (a) Classify the research as one of the following: Quantitative/descriptive Quantitative/correlational…arrow_forwardAn automobile manufacturer obtains the microprocessors used to regulate fuel consumption in its automobiles from three microelectronic firms: A, B, and C. The quality-control department of the company has determined that 5% of the microprocessors produced by firm A are defective, 9% of those produced by firm B are defective, and 7.5% of those produced by firm C are defective. Firms A, B, and C supply 35%, 30%, and 35%, respectively, of the microprocessors used by the company. What is the probability that a randomly selected automobile manufactured by the company will have a defective microprocessor?arrow_forward
- The figure to the right shows the results of a survey in which 1012 adults from Country A, 1009 adults from Country B, 1016 adults from Country C, 1010 adults from Country D, and 1005 adults from Country E were asked whether national identity is strongly tied to birthplace. A table labeled "National Identity and Birthplace, People from different countries who believe national identity is strongly tied to birthplace" consists of five rows containing the following information from top to bottom, with row listed first and information listed second: Country A, 31 percent; Country B, 20 percent; Country C, 25 percent; Country D, 53 percent; Country E, 12 percent.Country A31%20%25%53%Country BCountry CCountry DCountry E12% Construct a 99% confidence interval for the population proportion of adults who say national identity is strongly tied to birthplace for each country listed.arrow_forwardA machine learning engineer is testing the speed at which his new computer graphics card can train a deep learning algorithm on a dataset. The engineer tested the speed of the graphics card on a dataset using the 10-fold cross-validation technique, which is testing 10 times the process.training-testing with the same dataset splitting size. From the 10 times of the training-testing process, the following training time data were obtained (in hours): 11,2 ; 10,1 ; 12,4 ; 11,0 ; 10,8 ; 12,2 ; 11,6 ; 12,4 ; 12,5 ; 10,6 a. Calculate the 99% two-sided confidence interval (99% two-sided confidence interval) for the graphics card's average training time.b. Calculate the upper 90% confidence interval (upper confidence interval of 90%) for the average training time of the graphics card.c. Calculate the 97.5% lower confidence interval (97.5% lower confidence interval) for the graphics card's average training time.d. Calculate the Margin of Error (MOE) of the graphics card's average training time…arrow_forwardSuppose a computerized database contains all charts of patients at nine hospitals in Cleveland, Ohio. One concern of the group conducting the study is the possibility that the attending physician underreports or overreports various diagnoses that seem consistent with a patient’s chart. An investigator notes that 50 of the 10,000 people in the database are reported as having a particular viral infection by their attending physician. A computer using an automated method of diagnosis claims that 68 of the 10,000 people have the infection, 48 of them from the attending physician’s 50 positives and 20 from the attending physician’s 9950 negatives. Test the hypothesis that the probability of detecting this viral infection are the same for the computer and the attending physician.arrow_forward
- A furniture manufacturer producing chairs looked at the product from each of its three shifts (1, 2 and 3) and classified any defective chairs into one of four types of defect (A, B, C or D). The data from the exercise is presented in the contingency table below. Answer the following questions based on these data and using appropriate notation and working. %% Prob (D / P) or otherwise written Prob (DC / PC ) . Type of Defect Shift A B C D Total 1 15 21 45 13 94 2 26 31 34 5 96 3 33 17 49 20 119 Total 74 69 128 38 309 i) State the proportion of all defective chairs that were produced in Shift 2 and with defect B. ii) Determine the proportion of chairs with defect B. iii) Given that a chair was produced on Shift 2, calculate the proportion of chairs with defect B. iv) Considering your answers to parts ii and iii, do you think “Type of Defect” is independent of “Shift”? Explain the reasoning that led…arrow_forwardThe predicted outcome of the 2020 US election was 5/9 in favour of Joe Biden. What is theaverage information content of this process?arrow_forwardA researcher is interested in whether people will show different amounts of cognitive dissonance when viewing images of animals in distress vs. images of humans in distress. The researcher collects data from N = 12 people and randomly assigns six people to an Animal Distress condition and six different people to a Human Distress condition. Participants were shown 20 images superimposed onto one of 4 color backgrounds (i.e., red, yellow, green, and blue) and were asked to report the color behind each image as quickly as possible using keys on a keyboard. Participants in the Animal Distress condition were shown 20 images of animals in distress and participants in the Human Distress condition were shown 20 images of humans in distress. Cognitive dissonance was measured using the number of errors made in identifying background colors. The data were as follows: Animal Distress: 8, 6, 7, 8, 5, 9 Human Distress: 3, 2, 4, 1, 2, 2arrow_forward
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