$ 48.00 a. $81.23 b. $85.50 c. $90.00 EBIT $150.00 d. $94.50 Tax Rate 40% e. $99.23 NOPAT=$90.0 2. Tibbs Inc. had the following data for the year ending 12/31/07: Net income = $300; Net operating profit after taxes (NOPAT) = $400; Total assets = $2‚500; Short-term investments = $200; Stockholders’ equity = $1‚800; Total debt = $700; and Total operating capital = $2‚300. What was
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Data Display Q no.1 Do you have a personal bank account? Bar chart Pie chart Q no.2 Your personal banking account… Bar chart Pie chart Q no.3 If you have a conventional banking account‚ the reason for this is that… Bar chart Pie chart Q no.4 Do you think Islamic banks are really Islamic (what is your perception)? Bar chart Pie chart Q no.5 Nowadays
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Data Preprocessing 3 Today’s real-world databases are highly susceptible to noisy‚ missing‚ and inconsistent data due to their typically huge size (often several gigabytes or more) and their likely origin from multiple‚ heterogenous sources. Low-quality data will lead to low-quality mining results. “How can the data be preprocessed in order to help improve the quality of the data and‚ consequently‚ of the mining results? How can the data be preprocessed so as to improve the efficiency and ease
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Introduction to Linear Regression and Correlation Analysis Goals After this‚ you should be able to: • • • • • Calculate and interpret the simple correlation between two variables Determine whether the correlation is significant Calculate and interpret the simple linear regression equation for a set of data Understand the assumptions behind regression analysis Determine whether a regression model is significant Goals (continued) After this‚ you should be able to: • Calculate and
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Memorandum Subject: Regression to the Mean with Coin Flips This paper discusses the statistics project‚ Regression to the Mean with Coin Flips. The paper is divided into four parts‚ which are summarized below: Part One: The Questionnaires This section summarizes the results of questionnaires handed out to a random sample of 110 people. Pie charts are provided‚ which reflect the responses to each question. Part Two: 200 Flips This section discusses the outcome of flipping a normal coin two-hundred
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Math – 213 Problem Set Solve each of the following problems. 1. A coin is tossed four times. What is the probability that at least 2 heads will occur? 2. A pair of dice is rolled. What is the probability that the sum is equal to the following? a. 5 b. 10 c. at most 9 d. at least 8 3. A chip is drawn at random from a jar containing 8 red‚ 2 blue‚ 3 green‚ 4 yellow‚ and 3 white chips. Determine the probability that it is: a. Red b. Yellow or red c. Not orange 4. In a graduating class of 300 students
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Correlation and Regression Assignment Problem 1. a. Explain which variable you chose as the explanatory variable and discuss why. * The explanatory variable is the height. This is because I am assuming that as height increases‚ the weight will increase as well. So the weight is the dependent variable b. Produce a scatter plot and insert the result here. * Scatter plot c. Find the equation of the regression line‚ Write it in the form of y=a+bx‚ where a is the y-intercept
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business intelligence‚ data warehouse‚ data mining‚ text and web mining‚ and knowledge management. Justify and synthesis your answers/viewpoints with examples (e.g. eBay case) and findings from literature/articles. To understand the relationships between these terms‚ definition of each term should be illustrated. Firstly‚ business intelligence (BI) in most resource has been defined as a broad term that combines many tools and technologies‚ used to extract useful meaning of enterprise data in order to help
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considers the relationship between two variables in two ways: (1) by using regression analysis and (2) by computing the correlation coefficient. By using the regression model‚ we can evaluate the magnitude of change in one variable due to a certain change in another variable. For example‚ an economist can estimate the amount of change in food expenditure due to a certain change in the income of a household by using the regression model. A sociologist may want to estimate the increase in the crime rate
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of
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