CASE STUDY: 1 The bulbs manufactured by a company gave a mean life of 3000 hours with standard deviation of 400 hours. If a bulb is selected at random, what is the probability it will have a mean life less than 2000 hours? Question: 1) Calculate the probability. 2) In what situation does one need probability theory? 3) Define the concept of sample space, sample points and events in context of probability theory. 4) What is the difference between objective and subjective probability
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Tutorial for calculating ‘a’ and ‘b’ values in Casio FX991-ES Step 1: Press “mode” and the go to ‘STAT’ mode (press 3) Step 2: Select 2 (i.e. A+BX), since we are carrying out linear regression analysis Step 3: Now we have enter the values. I will explain you the method with these sample values X Y 1 6 2 7 3 8 4 9 Under the column, ‘X’, press 1 and then press ‘=’ and similarly for entering 2 (press “2” and “=”) and so on. Now for entering values of ‘Y’ use the navigation button (the blue
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Overdue Bills Case: Linear Regression and Correlation Quick Stab Collection Agency (QSCA) collects bills in an eastern town. The company specializes in small accounts and avoids risky collections, such as those in which the debtor tends to be chronically late in payments or is known to be hostile. The business can be very profitable. QSCA buys the rights to collect debts from their original owners at a substantial discount. For example, QSCA might pay $10 for the right to collect a $60 debt
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ANALYSIS REPORT OF HOMES SOLD To develop a multiple linear regression model to help the firm identify the average resale value of homes in the Fayeetville area, we have collected information on a random sample of 50 homes sold in the Fayettville area over the first 8 months of 2011. This information was obtained from the Fayettville Multi-Listing Realty Service and thus, our sample only includes homes listed or sold by agents and companies that belong to the service. We put collected data into
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Summary of important EViews-Commands Import of data from EXCEL: if the xlsx-format does not work, use File.xls Choice of sample period: Sample / @all @first @last 1990 2010 1981Q3 2005Q1 1960M1 2000M11 in command line e.g.: smpl @first 1990 Univariate statistics: Click series / View / Spreadsheet Graph Descriptive Statistics&Tests Correlogram data as numbers Graphics z.B. histogram, mean, etc. autocorrelationen Generation/Transformation of series: Generate / x = 0 generates a series with zeros
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Question 1 For 4 Dow Jones stocks for a 15 year period, compute quarterly realized betas from daily data. Find firm specific and macroeconomic variables that help explain quarterly beta. Answer 1.1 Factors Introduction Factor model survey the sensitivity of a stock return as a function of one or more factors. There are single-factor and multi-factor models. In factors model, based on the type of factors used, it can be classified to economic and fundamental factor models. Economic factor models
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Acts 430 Regression Analysis In this project, we are required to forecast number of houses sold in the United States by creating a regression analysis using the SAS program. We initially find out the dependent variable which known as HSN1F. 30-yr conventional Mortgage rate, real import of good and money stock, these three different kinds of data we considered as independent variables, which can be seen as the factors will impact the market of house sold in USA. Intuitively, we thought 30-yr
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MS 3043 – Article Review Project Click Link Below To Buy: http://hwcampus.com/shop/ms-3043-article-review-project/ Objectives: 1. Introduce some basic library search tools 2. Demonstrate the relevance of statistics (in this case, regression analysis) to your chosen field of study. Statistics is not a subject that you simply endure for now and then never use again. Many of the concepts covered in this course will be encountered in future courses and quite likely throughout your
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BA Homework 3 Part -1 Data summarization, exploration, and modeling. Data Exploration 1. Missing and/ or invalid values. There are missing values as na.fail displays there are missing values in the data. 2. Summary Statistics 3. Distribution The above Image shows distribution according to Income. Similarly, the data can be distributed based on various field criteria. 4. Conditional summary – Multivariate Analysis Scatter plots are the best possible way to
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John Caldock was studying for his Master’s in 1990 and at the same time he worked a the University as a research assistant. In 1995, he got his first job as a developer in a software company and he continue advancing in his career path and in 2003 he became a senior IT manager in a different IT company. In the following table you are provided with his yearly salary for these 13 years. |1990 |7,000 | |1991 |8,000 | |1992 |9,200 | |1993
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