...____ 1. The mean of a sample a. is always smaller than the mean of the population b. is always equal to the mean of the population c. is computed by summing the data values and dividing the sum by (n - 1) d. is computed by summing all the data values and dividing the sum by the number of items 2. is an example of a a. sample statistic b. mode c. population parameter d. population variance ____ ____ 3. On a street, the houses are numbered from 300 to 450. The house numbers are examples of a. neither quantitative nor qualitative data b. quantitative data c. qualitative data d. both quantitative and qualitative data 4. The coefficient of correlation ranges between a. 1 and 100 b. 0 and 1 c. -1 and +1 d. minus infinity and plus infinity 5. A histogram is said to be skewed to the left if it has a a. longer tail to the right b. shorter tail to the left c. longer tail to the left 6. Which of the following is a measure of dispersion? a. quartiles b. interquartile range c. percentiles d. shorter tail to the right ____ ____ ____ ____ d. all of the above are measures of dispersion 7. Statistical inference a. refers to the process of drawing inferences about the sample based on the characteristics of the population b. is the process of drawing inferences about the population based on the information taken from the sample c. is the same as a census d. is the same as descriptive statistics 8. A numerical value used as a summary measure for a sample, such as sample mean, is known...
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...Question 1 Calculate the Company’s Weighted Average Cost of Capital Bank Overdraft EAR = (1+i/n )^n - 1 (1 + 0.08/12) ^ 12 -1 = 0.0830 Cost of Bank overdraft: = EAR (1-t) = 0.830 (1-0.30) = 0.0581 Debentures Current market price = $309.29 Face value = $300.00 Annual coupon rate = 13.5% ( paid half yearly) Further flotation cost ( if any) = $1.50 (300* 13.5%) = 40.5/2 = 20.25 Present value of annuity = $20.25 Pmt = $20.25 MP= Pmt * 1 – ( 1)/ (1+i)^n i 20.25 * 1 – 1/ ( 1+ 0.00675)^ 14 0.0675 = $ 179.78 Discount back the face value to 0 = FV….. ( 1+i)^n = 300.00 = $120.21 (1+0.0675)^14 EAR = (1+6.4084%) ^ 2 -1 = .1323 Cost of debt = EAR ( 1- t ) .1323 ( 1-0.30) = 0.0926 Cost of Preference Shares (Keps) = Dividend Market Price 1.10 = 0.1358024 8.10 Dividend per share= 275000 = $1.10 250000 Cost of Ordinary Share Capital (Keos) = D 0 * ( 1+G) + G ...
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...revenue, so demand is inelastic over this range of prices. c. Recall that total revenue is maximized at the point where demand is unitary elastic. We also know that marginal revenue is zero at this point. For a linear demand curve, marginal revenue lies halfway between the demand curve and the vertical axis. In this case, marginal revenue is a line starting at a price of $14 and intersecting the quantity axis at a value of Q = 3.5. Thus, marginal revenue is 0 at 3.5 units, which corresponds to a price of $7 as shown below. Price $14 $12 $10 $8 $6 $4 $2 Demand $0 0 1 2 3 MR 4 5 6 Quantity Figure 3-1 Managerial Economics and Business Strategy, 7e Page 1 2. a. At the given prices, quantity demanded is 700 units: d Qx = 1000 − 2 (154 ) + .02 ( 400 ) = 700 . Substituting the relevant information into Px 154 = −2 = −0.44 . Since this is less 700 Qx than one in absolute value, demand is inelastic at this price. If the firm charged a lower price, total revenue would decrease. b. At the given prices, quantity demanded is 300 units: d Qx = 1000 − 2 ( 354 ) + .02 ( 400 ) = 300 . Substituting the relevant information into the elasticity formula gives: EQx ,Px = −2 ⎛P ⎞ ⎛ 354 ⎞ the elasticity formula gives: EQx ,Px = −2 ⎜ x ⎟ = −2 ⎜ ⎟ = −2.36 . Since this is ⎝ 300 ⎠ ⎝ Qx ⎠ greater than one in absolute value, demand is elastic at this price. If the firm increased its price, total revenue would decrease. c. At the given prices, quantity demanded is 700 units: d Qx =...
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...revenue, so demand is inelastic over this range of prices. c. Recall that total revenue is maximized at the point where demand is unitary elastic. We also know that marginal revenue is zero at this point. For a linear demand curve, marginal revenue lies halfway between the demand curve and the vertical axis. In this case, marginal revenue is a line starting at a price of $14 and intersecting the quantity axis at a value of Q = 3.5. Thus, marginal revenue is 0 at 3.5 units, which corresponds to a price of $7 as shown below. Price $14 $12 $10 $8 $6 $4 $2 Demand $0 0 1 2 3 MR 4 5 6 Quantity Figure 3-1 Managerial Economics and Business Strategy, 5e Page 1 2. a. At the given prices, quantity demanded is 700 units: d Qx = 1000 − 2 (154 ) + .02 ( 400 ) = 700 . Substituting the relevant information into Px 154 = −2 = −0.44 . Since this is less 700 Qx than one in absolute value, demand is inelastic at this price. If the firm charged a lower price, total revenue would decrease. b. At the given prices, quantity demanded is 300 units: d Qx = 1000 − 2 ( 354 ) + .02 ( 400 ) = 300 . Substituting the relevant information into the elasticity formula gives: EQx ,Px = −2 ⎛P ⎞ ⎛ 354 ⎞ the elasticity formula gives: EQx ,Px = −2 ⎜ x ⎟ = −2 ⎜ ⎟ = −2.36 . Since this is ⎝ 300 ⎠ ⎝ Qx ⎠ greater than one in absolute value, demand is elastic at this price. If the firm increased its price, total revenue would decrease. c. At the given prices, quantity demanded is 700 units: d Qx =...
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...Lonice’s Soda contain less than the advertised sixteen ounces of soda. Today I asked my employees to randomly pull thirty bottles off the lines at random from all the shifts at the Lonice’s bottling plant. After asking them to measure the amount of soda in each bottle we came up with the following data. (See attached spread sheet). To calculate the mean, median and standard deviation for the ounces in the bottles I first imported the data in excel. After importing the data I use the Data analysis function where I choose descriptive statistics. Once choosing descriptive statistics I clicked ok and input my data range. Afterward I selected summary statistics and press OK. The forwarding data was provided; the mean equaling 14.87, median equaling 14.8, standard deviation equaling 0.550. To construct a ninety-five confidence interval for the ounces in the bottles I use the following information. X equal to 14.87 which is the mean of the data from the bottles, n equal to 30, because of the amount of bottles we use, standard deviation equals zero point five five zero which was calculate with the data from the bottles. I use the formula [ ] which gave me the lower limit of 14.673 and an upper limit of 15.067. Finally I conducted a hypothesis test to verify if the claim that a bottle contains less than sixteen ounces is supported. With the claim that the bottles contains less than sixteen ounces my null hypothesis is mean greater than equal to sixteen and...
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... Regression. Now you are ready to run regressions in EXCEL 1. Measuring Systematic Risk: Beta Coefficients The management of a publicly traded firm is interested in determining the firm’s cost of equity capital using the security market line (SML) version of the capital asset pricing model (CAPM). Management has measured the weekly returns for the market (S&P 500), its own stock, and the risk-free rate. The returns were annualized. The annualized percentage returns for each of the last 20 weeks are provided. 1a. See data in Excel file provided with this assignment. Using Excel, determine the excess rate of return on the firm’s stock (firm return less risk-free return) and the excess rate of return on the market (market return less the risk-free return). Put the two new variables (the excess return on the firm and the excess return on the market) that you have created into separate columns. (5...
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...CHAPTER 12 S CORPORATIONS SOLUTIONS TO PROBLEM MATERIALS | | | | |Status: | | Q/P | |Question/ | | | |Present | |in Prior | |Problem | |Topic | |Edition | |Edition | | | | | | | | |1 | |Partnerships versus S corporations | |New | | |2 | |Restrictions | |New | | |3 | |S election versus LLC | |Unchanged |1 | |4 | |Use of a qualified Subchapter S subsidiary | |Unchanged |3 | |5 | |Reelection after termination | |Unchanged |4 | |6 | |Passive investment income | |Unchanged |5 | |7 | |Schedule...
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...------------------------------------------------- Group Project: Emmar Properties in Dubai, UAE (ENGG938) Engineering Economics Dr. Raid Al Amour Summer 2011 By: Ayman ElHalabi ID # 3162758 Fadi Deratani ID # 2462540 Mohammed Al Khanji ID # 3741242 Mohammad Nabil Ibrahim ID # 3517056 Table of Contents Executive summary 3 Case Description 3 Study Questions 4 Solution Assumptions 4 Scenario Analysis 11 Results Discussion 11 Conclusion & Recommendations 12 References 13 Executive summary Emaar Properties PJSC is a United Arab Emirates Based company, it is a Public Joint Stock Company (PJSC) listed on the Dubai Financial Market. Emaar was established in 1997 with an initial paid-up capital of AED 1 billion. It is currently one of the Gulf's largest land and real estate developer. (Wikipedia) With over 60 companies, Emaar's activities include property investment and development, property management services, education, healthcare, retail and hospitality sectors, as well as investing in financial service providers (Wikipedia). Emaar Properties has joint ventures and projects across the region covering Algeria, Egypt, India, Indonesia, Morocco, Saudi Arabia, Syria, Turkey, and Tunisia and now heading towards the Americas. Recently Emaar announced plans to expand the retail sector with investments of over US$4 billion to develop approximately 150 malls in the mega emerging markets of the Middle East...
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...The equation of best fit, also known as the regression equation, is Credit Balance($) = 2591 + 403 Size. This means that for each 1 increase in household size that that credit balance increase by $403. 3. The coefficient of correlation is the square root of .566 which is .7523. This value being closer to one than to zero and being positive implies strong linear relationship between credit balance and size. It confirms that as credit balance increases, household size will also increase. 4. The coefficient of determination is .566. This value represents the proportion of the total sample variation of y, measured by the total sum of squares of deviations in the sample from the mean, can be explained by using credit balance to predict household size. This means that 56.6% of the sample variation credit balance (y) can be explained by using household size (x) in this straight line model. 5. The null hypothesis is that Beta1equals 0 and the alternative hypothesis is that Beta1 does not equal 0. The p-value is 0.000, which is less than 0.05. Therefore, the null hypothesis that Beta1 equals zero can be rejected. There is sufficient evidence that Beta1 does not equal zero. This shows that our regression model is useful, in that credit balance does depend on household size. 6. Based on my findings, credit balance will increase by $403 per 1 unit increase in the size of the household. This is confirmed by the regression model proving to be useful and both the coefficient of...
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...Description Correlation of Position, Velocity, and Acceleration Graphs Instructions to Recreate Graph 3 Analysis of Newton’s 3 Laws of Motion Part 2: Scenario C Graph, Force Diagrams, Regions Explanation of Graph Self-Assessment Summary Report on Motion PHS 100 Lab 552 26 March 2013 Region 1: The fan cart is at a constant position. As you can see, the fan cart is set at a constant position of 2.0 meters away from the motion detector. Velocity and acceleration are zero as the cart is not moving. Region 2: A change in motion is occurring. As the cart begins to move, the position of the cart moves closer to the detector. Velocity and acceleration are at a negative slope because the direction is changed from no movement to movement. Region 3: The fan cart is moving at a constant speed and direction towards the detector. Slope for velocity becomes positive as the speed is now greater than zero. Acceleration is constant. Region 4: The fan cart has now moved to a closer position to the motion detector. Velocity and Acceleration is at zero because there is no movement. Regions of Graph 3: Region 1- The fan cart is at a constant position as it is not moving. Since the position is just less than 2 meters away from the detector, we know the fan cart is not directly in front of the motion detector. There is no acceleration. Region 2- The fan cart begins to gradually accelerate towards the motion detector. While the position remains...
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...Summary There are many issues with this world, but I think the biggest one that affect everyone is hate. People are constantly hating on someone and putting people down because of their lifestyle choices. They are being abused for their religion, the people they like, their gender, and most commonly the way they look/ their weight. People become self-conscious because of this, just because you do not have the ideal body type you can be treated as a lesser person. Someone always has something to say, you are either too fat, too skinny, or look too butch because you have muscles. People need to stop worrying about the ideal body image and start working on being healthy. Introduction In today’s society, people have a big misconception on the...
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...Executive Summary: Title Page Pg No.1 Introduction Pg No.3 Summary of proposal Pg No.4 Strengths Pg No.5 Opportunity Pg No.6 The proposal Pg No.8 Benefits and Conclusions Pg No.9 References Pg No.10 Introduction: This business proposal will help us in providing the overall statistics of our international business, Stone Goose Company, currently operating in US, Africa and India. We all know that market trends are changing rapidly and thus is the competition. Every enterprise is coming up with a new strategy to market their products and its becoming difficult to sustain the current market share and expand. But my dear friends this proposal will help us in gaining an upper hand over our competitors. The proposal will highlight the S-Strengths, O-Opportunities and ways to overcome the threats and weaknesses. We will be designing an efficient business strategy to capture the market share. Let all of us be a part of our success story. Summary of the proposal: After reviewing the present market stats and future trends, we are proposing that social media for interacting with potential customers will be a great tool of marketing, as it is inexpensive and we can reach the economies of scale. Awareness plays a very critical role for customer spending’s. The two crucial elements to be focused are: 1- Sales 2- Cost The more the sale and less the expense or cost is more...
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...22nd, 2015. Executive Summary: Title Page Pg No.1 Introduction Pg No.3 Summary of proposal Pg No.4 Strengths Pg No.5 Opportunity Pg No.6 The proposal Pg No.8 Benefits and Conclusions Pg No.9 References Pg No.10 Introduction: This business proposal will help us in providing the overall statistics of our international business, Stone Goose Company, currently operating in US, Africa and India. We all know that market trends are changing rapidly and thus is the competition. Every enterprise is coming up with a new strategy to market their products and its becoming difficult to sustain the current market share and expand. But my dear friends this proposal will help us in gaining an upper hand over our competitors. The proposal will highlight the S-Strengths, O-Opportunities and ways to overcome the threats and weaknesses. We will be designing an efficient business strategy to capture the market share. Let all of us be a part of our success story. Summary of the proposal: After reviewing the present market stats and future trends, we are proposing that social media for interacting with potential customers will be a great tool of marketing, as it is inexpensive and we can reach the economies of scale. Awareness plays a very critical role for customer spending’s. The two crucial elements to be focused are: 1- Sales 2- Cost The more the sale and less the expense or cost is more...
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...Auditing and Assurance Services Table of Contents Meet the Audit Team 3 Partner Summary 5 Introduction 6 Part 1.1 a) Advanced Analytics in Professional Standards 6 Part 1.1 b) Academic Research on Advanced Analytical 6 Part 1.3 Simple Trend-line Regression 7 Part 2.1 Specific Risk of Material Misstatement 11 Part 2.2 An Appropriate Audit Program 12 Appendix 15 References 16 List of Key Audlish terms 17 Partner Summary In order to better understand the audit reports, we have documented academic research and existing audit standards relevant to planning stage APRs. This background information will provide a summary of professional standards and guidance directly related to APRs. First and foremost, every auditor must follow the standards called the Generally Accepted Auditing Standards (GAAS) which are set by the Public Company Accounting Oversight Board (PCAOB). Important sections within the standards required to know include: Independence, Consideration of Fraud in a Financial Statement Audit, and Communications about Control Deficiencies in Financial Statements, which includes nine rules that deal with identifying and reporting deficiencies found in financial statements. In the second part of our report, we prepared basic ARP’s and identified some key red flags for the Chevron Company. To access client viability, we used vertical and horizontal analysis, where we found...
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...are meaningless. The differences in two ordinal scales cannot be assumed, they are only ranked or rated on a relative scale. Ordinal scales are usually non-numeric thoughts like satisfaction, happiness or discomfort. You can determine central tendency on a set of ordinal data using mode or median. Interval level of measurement is the next level and can be described as measurement based on a scale with a known unit of measurement. In interval measurement we are able to determine the order as well as the exact difference between the values. An example would be time because the increments are known, consistent and are measurable. The difference between interval values is meaningful, however, with interval measurement there is no “true zero.” Therefore, it is impossible to compute ratios with interval data,...
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