Problem-Solving Exercise 1 1. In your own words‚ explain what density altitude is and how it affects your airplane. Density altitude‚ or "Pressure Altitude"‚ is the density of air given as a height above Mean Sea Level (MSL). Density altitude affects the wings ability to create lift‚ the aircrafts propeller to create thrust and the power output of the engine. 2. In your own words‚ explain the theory of lift and what basic laws are involved. In my opinion lift can be explained by
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universally. The scale is chosen depending on the information that the data is intending to represent. The four scales of measurement of data are nominal‚ ordinal‚ interval‚ and ratio. Each plays a different‚ yet very important role in the world of statistic a) Nominal scale Is the lowest level in scales of measurement? Is a way of grouping behavior‚ where actual numbers are simply labels or identifiers. -they do not put subjects in any particular order: no logical basis for the answers in each
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MB0040 – Statistics for Management - 4 Credits (Book ID: B1129) Assignment Set - 1 (60 Marks) Q1. Define “Statistics”. What are the functions of Statistics? Distinguish between Primary data and Secondary data. Answer: Statistics is usually and loosely defined as: 1. A collection of numerical data that measure something. 2. The science of recording‚ organizing‚ analyzing and reporting quantitative information. Professor A.L. Bowley gave several definitions of Statistics. He defined
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Business system anaylsis Problems and Exercises Week 7 Homework Tom Sanders DeVry University Professor Girten October 14‚ 2014 Problems and Exercises Appendix A Question 1 - The use-case diagram shown in Figure A-1 F captures the Student billing function but does not contain any function for accepting tuition payment from students. Revise the diagram to capture this functionality. Also‚ express some common behavior among two use cases in the revised diagram by using include relationships. The
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Binomial Distribution P(S) The symbol for the probability of success P(F) The symbol for the probability of failure p The numerical probability of a success q The numerical probability of a failure P(S) = p and P(F) = 1 - p = q n The number of trials X The number of successes The probability of a success in a binomial experiment can be computed with the following formula. Binomial Probability Formula
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analysis‚ we compared the profits earned by 60 Crusty Dough Pizza Company restaurants to factors associated to their menu‚ amenities‚ services‚ and statistics regarding the restaurant communities. The factors that we analyzed are listed in Table 1. Table 1. List of Factors Compared to Monthly Profit We computed descriptive statistics (mean‚ median‚ mode‚ standard deviation‚ coefficient of variation‚ range‚ and outliers) for the 16 factors given in the data and for monthly profit
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What is APSA-80? APSA-80‚ a product of Amway is an all purpose spray adjuvant which on mixing with insecticides‚ fungicides‚ herbicides and defoliators increases their efficacy. As a result of that‚ the crops‚ fruits and vegetable are better protected from diseases‚ pests and unwanted herbs‚ resulting in more productive yield. This adjuvant has 80% of active ingredients and this can be mixed in any solution to improve its performance many times Note : APSA-80 is neither an insecticide nor a fertiliser
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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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FINA 5210 Problem Set 1 (Group 305) Problem 1 (a) WpC=[E(rp)-rf] ÷Aσp2 =6%÷2.5×(20%)2 =60% WfC=100% - 60% = 40% (b) Expected return of Complete portfolio is: rCEc= WpC×E(rp)+ WfC×rf =60%×10% + 40%×4% =7.6% The standard deviation of Complete portfolio is: σc = WpC × σp = 60% × 20% = 12% Certainty-equivalent rate of return for investing in C: rc CE= Uc = rCEc- 1/2Aσc2 = 7.6% - 0.5×2.5×12%2 = 5.8% Certainty-equivalent rate of return for investing in P: rp CE= Up= rCEp- 1/2Aσp2
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Chapter 8 Exercise 21 What is sampling error? It is the difference between the sample mean and the population mean Could the value of the sampling error be zero? Yes it is possible to have a zero sampling error. However‚ it is very low probability that this could happen. If it were zero‚ what would this mean? This means that the population is uniform and the sample mean and the population mean are equal. Exercise 22 List the reasons for sampling. Give an example of each reason
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