Statistical Data Analyses Graeme Ferdinand D. Armecin‚ MHSS Outline of Presentation Overview of Research Designs Functions of Statistics Sampling Principles of Analysis and Interpretation (with Computer Package) – Descriptive Statistics – Inferential Statistics Graeme Ferdinand D. Armecin‚ MHSS Statistical Data Analyses Purposes of Research Design Exploratory/Descriptive Research design – Basic or fundamental in the research enterprise – What is going on? –
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Central to an event study is the measurement of an abnormal stock return. Section 4 details the first step which is measuring the normal performance. Section 5 follows with the necessary tools for calculating an abnormal return‚ making statistical inferences about these returns‚ and aggregating over many event observations. H0: the event has no impact on the distribution of returns is maintained in Section 4 and 5. Section 6 discusses modifying this null hypothesis to focus only on the mean
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BUSINESS STATISTICS BUQU 1230-S95 Fall 2014 Instructor: Ali R. Hassanlou‚ Ph.D. E-mail: Ali.Hassanlou@kwantlen.ca Phone: 604-599-2045 Office: Room D140 Surrey Class Hours: Saturday 10:00-12:50 Office Hours: In Surrey on Fridays 11:00-12:50 and Saturday 9:00-9:50 and 16:00-17:00. I am also available by appointment and e-mail (which I check regularly). Course Description: BUQU 1230 will introduce
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[pic] ARMY PUBLIC SCHOOL AND COLLEGE‚ JHELUM CANT Paper: Statistics Pre- Board 2012 (Objective) Marks: 18 Time: 30 min Name: ………………………………………………………………………… Section: ………………… SECTION-A (18 Marks) | |Select the correct answer. Cutting or over writing is not allowed. | | | |If in a table all possible values of a random variable are given with their corresponding probabilities‚ then its
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deals with the collection‚ presentation‚ analysis and interpretation of data in the business setting. It covers the two aspects of statistics namely: Descriptive Statistics and Inferential Statistics. Specifically‚ it covers the following: Steps in statistical investigation‚ the frequency distribution‚ measures of central location‚ measures of dispersion‚ concepts of probability‚ probability distribution‚ concept of hypothesis‚ hypothesis testing‚ simple linear regression and correlation analysis. The
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Descriptive and Inferential Statistics Paper Descriptive and Inferential Statistics Paper Statistics are used for descriptive purposes‚ and can be helpful in understanding a large amount of information‚ such as crime rates. Using statistics to record and analyze information‚ helps to solve problems‚ back up the solution to the problems‚ and eliminate some of the guess work. In Psychology there has to be a variable or variables to be organized‚ measured‚ and expressed as quantities. Information
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qualitative cannot be measured. Descriptive statistics are usually summary figures that are calculated from sets of observation. Inferential statistics is used in applying conclusion about a set of observation in order to reach a broader conclusion or inference about something that hasn’t been observed directly. Statistics assist a business decision by defining the business target consumers‚ helps the company develop products that better meet the needs of the companies consumers. Managers can get a better
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related to the remaining variables. Near extreme means that the correlation between one of the RHS variables and a linear combination of the remaining variables is close to one. b. What would the consequences of collinearity be for estimation and inference? OLS will still be unbiased‚ consistent and BLUE (BUE under normality). Likewise the usual statistic‚ such as the t-ratios‚ will have the usual distribution‚ such as the t-distribution‚ under the null hypothesis. Under the alternative hypothesis
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when the samples are dependent. In a case of two dependent samples‚ two data values—one for each sample—are collected from the same source (or element) and‚ hence‚ these are also called paired or matched samples. For example‚ we may want to make inferences about the mean weight loss for members of a health club after they have gone through an exercise program for a certain period of time. To do so‚ suppose we select a sample of 15 members of this health club and record their weights before and after
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interviews wholesalers‚ retailers‚ and customers to determine the potential for a new shampoo package. – Casual as the product is still in the idea phase. • This type of research attempts to capture a population’s characteristics by making inference from a sample’s
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