"Descriptive statistics and probability distributions problem sets" Essays and Research Papers

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    Managerial Finance – Problem Review Set – Capital Structure and Leverage 1) If a firm utilizes debt financing‚ an X% decline in earnings before interest and taxes (EBIT) will result in a decline in earnings per share that is larger than X. a. True b. False 2) Firm A has a higher degree of business risk than Firm B. Firm A can offset this by using less financial leverage. Therefore‚ the variability of both firms ’ expected EBITs could

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    Chapter 3 Probability

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    Chapter 3 Probability True/False 1. A contingency table is a tabular summary of probabilities concerning two sets of complementary events. Answer: True Difficulty: Medium 2. An event is a collection of sample space outcomes. Answer: True Difficulty: Easy 3. Two events are independent if the probability of one event is influenced by whether or not the other event occurs. Answer: False Difficulty: Medium 4. Mutually exclusive events have a nonempty

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    Statistics

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    INTRODUCTION Statistics is the study of the collection‚ analysis‚ interpretation‚ presentation‚ and organization of data. Pie Chart- a type of graph in which a circle is divided into sectors that each represent a proportion of the whole. A Bar Graph (also called Bar Chart) is a graphical display of data using bars of different heights. This report essentially highlights the average earning‚ median value and a graphical representation of the actor Aamir Khan’s box office earnings in the last 10

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    Statistics in Sports

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    Statistics is a mathematical science pertaining to the collection‚ analysis‚ interpretation or explanation‚ and presentation of data. It is applicable to a wide variety of academic disciplines‚ from the physical and social sciences to the humanities. Statistics are also used for making informed decisions – and misused for other reasons – in all areas of business and government. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In

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    Mathematical statistics

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    Continuous Distributions Distribution Uniform Normal Exponential Gamma Chi-square Beta Probability Function f (y) = f (y) = 1 ; θ ≤ y ≤ θ2 θ2 − θ1 1 1 1 (y − µ)2 √ exp − 2 2σ σ 2π −∞ < y < +∞ f (y) = 1 y α−1 e−y/β ; (α)β α 0<y<∞ f (y) = f (y) = f (y) = 1 −y/β e ; β>0 β 0<y<∞ (y)(v/2)−1 e−y/2 2v/2 (v/2) y2 > 0 ; (α + β) y α−1 (1 − y)β−1 ; (α) (β) 0<y<1 MomentGenerating Function Mean Variance θ1 + θ2 2 (θ2 − θ1 )2 12 µ σ2 β β2 (1 − βt)−1 αβ αβ 2 (1 − βt)−α v 2v

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    probability questions : 1. A real estate office has been averaging 1.8 sales per day for the past several months. What is the probability that the office will make 4 sales today? .0723 2. A washing machine in a Laundromat breaks down an average of two times per month. What is the probability that the machine will break down more than 28 times in the next year? .1775 3. Flaws occur randomly in a particular fabric with a mean rate of occurance of 1.5 every 5 sqare yards. If you purchase 20 square

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    Statistic

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    9.18 a) Using forward stepwise regression to find the best subset of predictor variables to predict job proficiency. The Alpha-to-Enter significance level was set at 0.05 and the Alpha-to-Leave significance level was set at 0.10. The first predictor entered into the stepwise model is X3. SAS tells us that the estimated intercept is -106.13 and the estimated slope for X3 is 1.968. The R2-value is 0.8047‚ mean square error is 76.87. The second predictor entered into the stepwise model is X1.

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    INFERENTIAL STATISTICS

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    values that tends to describe a given set of data by identifying their central locations.In his book introduction to statistical methods and data analysis‚ R. Ott Longnecker argues that measures of central tendency seek to describe the centre of distribution of measurements and also how the measurement vary about the centre of distribution.Central tendency measures include mean‚ mode nd median.On the other hand measures of variability describes a given set of of data by analyzing how data varies

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    Problem 1 Suppose that 6 female and 5 female applicants have been successfully screened for 5 positions. If the 5 positions are filled at random form the 11 finalists‚ what is the probability of selecting: A: 3 females and 2 males? B: 4 females and 1 male? C: 5 females? D: At least 4 females? Problem 2 By examining the past driving records of drivers in a certain city‚ an insurance company has determined the following (empirical) probabilities: [pic] If a driver in this city

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    A Note on Statistics

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    Lecture Notes: Statistics A note on basic statistics Statistics is the practice or science of collecting and analyzing numerical data in large quantities. So there are two parts1. Collection of Data 2. Analysis of Data- understanding what the data says. Steps in Statistics To carry out any statistical operation‚ the following steps need to be followed‚ in the given order: 1. 2. 3. 4. 5. 6. Sampling Estimation Hypothesis Generation Testing Regression Prediction Collection of Data: Sampling

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