Calculus Cheat Sheet Derivatives Definition and Notation f ( x + h) - f ( x) . If y = f ( x ) then the derivative is defined to be f ¢ ( x ) = lim h ®0 h If y = f ( x ) then all of the following are equivalent notations for the derivative. df dy d f ¢ ( x ) = y¢ = = = ( f ( x ) ) = Df ( x ) dx dx dx If y = f ( x ) then‚ If y = f ( x ) all of the following are equivalent notations for derivative evaluated at x = a . df dy f ¢ ( a ) = y ¢ x =a = = = Df ( a ) dx x =a dx
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analysis of increases and decreases in individual items in comparative financial statements is called a. vertical analysis b. solvency analysis c. profitability analysis d. horizontal analysis 2. Which of the following below generally is the most useful in analyzing companies of different sizes a. comparative statements b. common-sized financial statements c. price-level accounting d. audit report 3. The percent of fixed assets to total
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Statistics Cheat Sheet Proportion = Frequency x 100 = Percentage Total No | Z score (standardised value)-how many sds from the mean the value liesZ score = data value – mean Standard deviation | Metric Data = ExploreCategory = Frequencies | Bigger sample size will give a narrower confidence interval range (more specific) outliers affect the mean but not the median – this is why the median is preferred here.mean | | Reports -Only give confidence
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What proportion of a normal distribution is located in the tail beyond z = +2.00? 0.0228 What proportion of a normal distribution is located between the mean and z = 1.40? 0.4192 The Z-score corresponding to the 52nd percentile is .05 A normally distributed variable has a mean of 10 and a standard deviation of 2. The probability that a value between 7 and 9 is obtained is .2417 An accelerated life test on a large number of type-D alkaline batteries revealed that the mean life for a particular use
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Shiana Gunasekera Lecture 2: GROUPS AND TEAMS *Groups/Teams – same - people with complementary skills‚ to achieve shared purpose and are held mutually responsible. *Formal Teams – officially recognised (organisational chart) and supported by the organisation for specific purposes. *Informal Teams- Natural or spontaneous relationship. No OC *Hierarchy – single person authority/performance responsibility. *Self-managed teams – decisions/complete work on own. Mutually responsible. Perform
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Market Structure | NumberofSellers | TypeofProduct | BarrierstoEntry? | DemandCurve | Profit Maximization Condition | Perfect Competition | Many | Homogenous | No | Horizontal (perfectly elastic) | MR = MC | Monopoly | One | Unique | Yes | Downward Sloping | MR = MC | Monopolistic Competition | Many | Differentiated | No | Downward Sloping | MR = MC | Oligopoly | Few | Homogenous or Differentiated | Yes | Downward Sloping | MR = MC | The natural monopoly may be regulated through price‚ profit
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Defines legal eMail marketing SPY-Act Protects vendors monitoring for licence enforcement DMCA - Digital Milenium Copyright Act Protects intellectual property SOX - Sarbanes Oxley Controls for corporate financial processes GLBA - Gramm-Leech Bliley Act Controls use of personal financial data HIPPA - Health Imformation Portability and Protection Act Privacy for medical records FERPA - Family Educational Rights and Privacy Act Protection for education records FISMA - Federal Information Security
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Chapter 3 Standard units tell you how many standard deviations above or below average a data value is standard units = (actual value – average)/SD actual value = average + (SD x standard units). Standard units are denoted by Z. Chapter 8 Complement rule: P(A) = 1 – P(A doesn ’t happen) Multiplication rule: P(A and B both happen) = P(A) x P(B given A happened) Q. 5 random components removed one at a time from box containing 5 defective and twenty working. What is chance of selecting all defective:
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Midterm Cheat Sheet (EDG 701) |Period of |Freud Psychosexual |Erickson | |Life | |Psychosocial (role | | | |of ego/social influ)| |First Year|Oral Stage—oral |Infancy: Trust vs. | | |fixations/gratificat|Mistrust—basic needs| | |ion—mistrust of |met=trust; not | | |others‚ rejection‚ |met=mistrust | | |love/fear of | | | |intimate
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vehicle for publishing books that reflect changes and developments in the curriculum‚ that encourage the introduction of courses on actuarial science in universities‚ and that show how actuarial science can be used in all areas where there is long-term financial risk. ACTUARIAL MATHEMATICS FOR LIFE CONTINGENT RISKS D AV I D C . M . D I C K S O N University of Melbourne M A RY R . H A R D Y University of Waterloo‚ Ontario H O WA R D R . WAT E R
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