Chapter 4 Descriptive Statistics Upload the completed assignment using the file extension format Lastname_Firstname_Week3.doc. Assignment (32 points due by 11 pm October 14th) 1) The file ‘FastFood’ contains the amount that a sample of nine customers spent for lunch (in $) at a fast food restaurant. a) Compute the mean and the median. b) Compute the variance‚ standard deviation‚ range‚ and co-efficient of variation. c) Are the data skewed? If so‚ how? 2) The file ‘ChocolateChip’
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Reading Journal #4 In chapters 3-5 in Outliers‚ Malcolm makes a very great point. People in this world tend to think that those with IQ’s higher than 140 are the ones that are going to have great futures with jobs that will make them great income. Now anyone in this world would agree that those with high IQ’s are intelligent‚ but just because they may be smarter than most people‚ does not necussarily mean that they are going to succeed in life. Having a high IQ does not define who you are‚ the
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Chapter 4‚ we learned the various aspects of an audience‚ when preparing a written or electrical document. How did I consider my audience needs and interests as I developed the presentation about Great Calls marketing strategy? I put myself in their shoes and considered the expectations that a manager of a large cellular company would expect. I recognized their time is valuable and I would need to be quick and direct. I also thought that I would have to put together a presentation that was professional
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ECON CHAPTER 4 PRACTICE QUESTIONS Names____________________ 1. Melissa buys an iPod for $ 120 and gets consumer surplus of $ 80. a. What is her willingness to pay? b. If she had bought the iPod on sale for $ 90‚ what would her consumer surplus have been? c. If the price of an iPod were $ 250‚ what would her consumer surplus have been? 2. An early freeze in California sours the lemon. Explain what happens to consumer surplus in the market
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Chapter 4 15. For discrete compounding‚ to find the EAR‚ we use the equation: EAR = [1 + (APR / m)]m – 1 = .0719‚ or 7.19% EAR = [1 + (.07 / 4)]4 – 1 EAR = [1 + (.16 / 12)]12 – 1 = .1723‚ or 17.23% = .1163‚ or 11.63% EAR = [1 + (.11 / 365)]365 – 1 To find the EAR with continuous compounding‚ we use the equation: EAR = er – 1 EAR = e.12 – 1 = .1275‚ or 12.75% 23. Although the stock and bond accounts have different interest rates‚ we can draw one time line‚ but we need to remember to
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Chapter 4 key terms Cyrus the great: Established massive persian empire by 550 B.C.E;successor state to mesopotamian empires. How its relevant: He was the conqueror of the persian empire by 550 B.C.E picture: Darius: The son of cyrus helped lead him to success became ruler later on. How it is relevant: He helped cyrus be a successful ruler. Picture: Zoroastrianism: Animist religion that saw material existence at battle between forces of good and evil;righteous lived
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Chapter 4 Case Study 1. Stakeholders: a. John Ryan – Superior Systems relationship manager – Aggressive. b. Nick – Superior Systems managing consultant – conservative. c. Sandy – Superior Systems Technical – observant. d. Sara – Superior Systems possible project manager - e. Ron Gimble – Point of contact for Capitol State Chemicals. f. Ron Newell – Capitol State’s IT operations manager. g. Kelly – Capitol State’s network technician – viewed as a project manager. h. Alex – Capitol State’s
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customers. She has found from her years of experience that after demonstration‚ the probability of purchase (long run average) is 0.30. To perform satisfactory on the job‚ the salesperson needs at least four orders this week. If she performs 15 demonstrations this week‚ what is the probability of her being satisfactory? What is the probability of between 4 and 8 (inclusive) orders? Solution p=0.30 q=0.70 n=15 k=4 [pic] Using Megastat we get | | |15
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Chapter 4 Case Study Questions REI Climbs the Web Mountain 1. Create a simple logical design and physical design for REI.com A simple logical design for REI.com would include the following concepts: HTTP requests and other data from a customer’s client computer that travels to Web servers‚ application servers‚ and data servers which displays specific Web pages in response to those requests. When the customer’s order is submitted‚ it is then forward to an order-processing application database
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Ans.1: Non-Probability Sampling: When the units of a sample are chosen so that each unit in the population does not have a calculable non-zero probability of being selected in the sample‚ this is called Non-Probability Sampling. Also‚ Non-probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected. In contrast with probability sampling‚ non-probability sample is not a product
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