4.0x 4.6x 4.4x 4.4x 5.7% 8.6% 7.9% 8.8% 3.1x 2.6x 2.6x 2.6x 4.2x 3.9x 3.6x 3.5x 15.0% 13.3% 14.2% 13.2% Net Sales (in Millions) Debt / EBITDA FCF / Debt (EBITDA-Capex) / Interest (FFO+Interest) / Interest RCF / Debt All ratios reflect Moody's Standard Accounting Adjustments Note: For definitions of Moody's most common ratio terms please see the accompanying User's Guide. Opinion Rating Drivers - Muted general economic conditions and continued over-capacity limit prospects for cash flow
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Weizhe Shi_900443906 Ran Li_210037023 Yichao FU_900387184 Contents Question 1 3 Analysis of securities and the market index 3 Summary 3 Question 2 7 Question 3 8 Question 4. 9 Standard Consumption of CAPM 9 Expectation errors relied on ex-post data 12 Reference List 14 Question 1 Analysis of securities and the market index Summary Firstly we calculated the monthly return of each securities which depend on the data of
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Define the following terms: Descriptive statistics is the term to describe the main or basic features of a research study. Scales of measurement is the term to describe the four scales of measurements: Nominal, Ordinal, Interval, and Ratio. Measures of central tendency is the term to describe the mean, median, and mode. Frequency distributions is the term to describe the process in dividing the groups in the research. Correlation coefficient is the term to describe the Pearson’s r (strength
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variability in the dispersion of this data with a standard deviation of 6.06. The number of pages viewed is approximately bell-shaped with a slight rightward skewness of 0.65. Although there is no great difference between the mean (4.82) and the median 4.5, the median is a better estimate of location because of the rightward skewness this variable has. Another factor that assures that there is little variation in the number of pages viewed is standard deviation with 2.04 pages viewed away from the
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the payoff on a $2 bet. a. Determine the mean and median for the variables winning time and pay off on a $2 bet. Winning Time Mean= 2.03697 Winning Time Median= 2.03642 Pay off Mean= $18.72 Pay off Median= $10.65 b. Determine the range and standard deviation of the variables winning time and payoff. Range Winning Time= 2.07417- 1.9995= 0.07467 Range Payoff= $103.20- 2.30= 100.9 SD Winning Time= 0.0181 SD Payoff= $22.7941 c. Refer to the variable winning margin. What is the level of measurement
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Name : Karan Gandhi Class: PGDOM Roll : 3120 1. If the extruder setting is accurate, what proportion of the rubber extruded will be within specifications? Soln : m = 400 σ = 4 P(x<410) = P(z<410-400/4) = P(z<2.5) = 0.9938 P(x<390) = P(z<390-400/4) = P(z<-2.5) = 0.0062 P(-2.5<z<2.5) = 0.9938 – 0.0062 = 0.9876 So 98.76% of the rubber extruded will be within specifications. 2. Douglas has asked to take a sample of 10 sheets of rubber each hour from the
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assumptions about numbers and geometric figures that are made throughout the test. These assumptions appear in the test at the beginning of the Quantitative Reasoning sections, and they are elaborated below. Also, some notation and terminology, while standard at the high school level in many countries, may be different from those used in other countries or from those used at higher or lower levels of mathematics. Such notation and terminology are clarified below. Because it is impossible to ascertain
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life is going to get better: Yes No 5. I feel happy most of the day: Yes No Yes = 1; No = 0 The mean on this test is 3.5 with a standard deviation of .5. Follow-Up Questions 1. SALLY SCORES 1.5 ON THIS TEST. HOW MANY STANDARD DEVIATIONS IS SALLY FROM THE MEAN? (SHOW YOUR CALCULATIONS) 2. Billy scores 5. What is his standard score? 3. What scale of measurement is Dr. Zak using? Do you think Dr. Zak’s choice of scaling is appropriate? Why or why not? What are
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Although you do not know how close the sample mean of any particular sample selected comes to the pop mean, you know that the mean of all possible sample means that could have been selected = the pop mean. Standard error is calculating the probability of a certain amount of error. EXAMPLE: Standard error is . As n increases decreases. CENTRAL LIMIT THEOREM: Regardless of shape of individual values in distribution; as long as sample size is large enough the sampling distribution of the mean will
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price of gasoline, reported last evening that the mean price nationwide is $1.50 per gallon for self-serve regular unleaded. A random sample of 35 stations in the Milwaukee, WI, area revealed that the mean price was $1.52 per gallon and that the standard deviation was $0.05 per gallon. At the .05 significance level, can we conclude that the price of gasoline is higher in the Milwaukee area? Calculate the p-value and interpret. PROBLEM 2: (Weight 40 points). Suppose Babsie generated the following
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