Chapter 1 The Probability in Everyday Life In This Chapter Recognizing the prevalence and impact of probability in your everyday life Taking different approaches to finding probabilities Steering clear of common probability misconceptions You’ve heard it‚ thought it‚ and said it before: “What are the odds of that happening?” Someone wins the lottery not once‚ but twice. You accidentally run into a friend you haven’t seen since high school during a vacation in Florida. A cop pulls you over the
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3. Research Finding and Conclusion: 1. Table‚ chart‚ calculation and interpretation: 3.1 Customer profile: 3.1.1 Customers’ Age: Age Midpoint (x) Frequency (f) Percentage <18 12 11 11 ≥18<30 24 25 25 ≥30<55 42 47 47 ≥55 67 17 17 Total 100 100 Table 3.1.1: The age of customers (Authors research) Chart 3.1.1: The age of customers Mean = f(x)f = 38.45 Variance = fx2f – x2 = 273.6 Standard deviation = 273.6 = 16.54 Mode 30-55 Median belong to ≥30<55 group SD độ lệch chuẩnMD
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A business graduate very much wants to get a job in any one of the top 10 accounting firms. Applying to any of these companies requires a lot of effort and paperwork and is therefore costly. She estimates the cost of applying to each of the 10 companies and the probability of getting a job offer there. These data are tabulated below. The tabulation is in the decreasing order of cost. 1. If the graduate applies to all 10 companies‚ what is the probability that she will get at least one offer
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catering. The internship makes me become more responsible and interpersonal skills. I also had better time management and after the internship. In addition‚ I have learned the importance of delivering qualitative products and service. I would like to apply for the position of Event Planning Assistant as I am very interested in the event planning field. I think I meet all the requirements of the post. I have a relevant college degree in City Collage and I am skillful in using computer. I am experienced
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issues regarding the social networking sites such as Facebook will be discussed and the decision making process will be implemented to explore alternatives and implement the solutions. “Stacy Snyder‚ an English education teacher candidate at
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Apply strategies to foster criticism in problem solving To solve a problem‚ we need to have all the information we can gather so that it can be completely digested. 1.The first is to say to yourself‚ before you begin to take a critical look at any idea‚ “I know this idea is going to look good to me and that I am going to feel it’s pointless to look for flaws. That’s natural. I thought of it‚ so I want it to be perfect. But I’m going to disregard this reaction and force myself to examine it critically
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The linear probability model‚ ctd. When Y is binary‚ the linear regression model Yi = β0 + β1Xi + ui is called the linear probability model. • The predicted value is a probability: • E(Y|X=x) = Pr(Y=1|X=x) = prob. that Y = 1 given x • Yˆ = the predicted probability that Yi = 1‚ given X • β1 = change in probability that Y = 1 for a given ∆x: Pr(Y = 1 | X = x + ∆x ) − Pr(Y = 1 | X = x ) β1 = ∆x 5 Example: linear probability model‚ HMDA data Mortgage denial v. ratio of debt payments to income (P/I
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| UNIVERSITY OF TECHNICAL EDUCATION | |BTEC HND IN BUSINESS (MANAGEMENT) | | | |ASSIGNMENT COVER SHEET
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competitor will succeed. If both firms succeed‚ they will each obtain revenue of 275. a. Should your firm undertake the 200 R&D effort? Use a decision tree. b. Now suppose it is possible for your firm to wait until after the result of your competitor’s R&D effort (success or failure) is known. Is it advantageous for your firm to wait? Use a decision tree. c. Now suppose that the two firms can form a joint venture to pursue either or both projects. What is the expected profit of pursuing both
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DIPLOMA IN BUSINESS MANAGEMENT Assignment StudentName : EdHatRegistrationNo. : | Programme : International Diploma in Business managementSubjectCode : MGE0102/ Business Decision makingAssignment Title : Using statistical techniques in the business | Summary of the learning Outcomes Covered: 1. Use a variety of sources for the collection of data‚ both primary and secondary 2. Apply a range of techniques to analyzed data for business purposes
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