STATISTICAL ANALYSIS SOFTWARE PACKAGES When you might get directly involved in computer-based data analysis‚ my guess is that you’ll be a little amazed at the capabilities of most statistical analysis software packages. I’ve already alluded to the rather extraordinary number of cases and variables that most packages can handle‚ but that’s just the start of it. The truly amazing element is the speed at which the data are manipulated and calculations are performed. Extremely sophisticated analyses
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Statistical Analysis and Application of Charts Presented To: Mam Ayesha IftikharPresented By: Hassan Bashir Roll Number: bba02141016 Program : BBA Semester : 2nd Date: 19-Oct-2014 Research Questionnaire/ Objective: Analysis of quantitative and qualitative data Uses of appropriate charts under the specific/general scenario. To ensure that statistical tools are the important for decision making. Type of Data: Quantitative Data Qualitative data Quantitative Data: Quantitative data is data expressing
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References: Beckstead‚ J. W. (2007). A note on determining the number of cues used in judgment analysis studies: The issue of type II error. Cohen‚ J. (1973). Statistical Power Analysis and Research Results. American Educational Research Journal. Cluster sampling. (n.d.). Retrieved February 26‚ 2014‚ from https://www.princeton.edu/~achaney/tmve/wiki100k/docs/Cluster_sampling.html Gay‚ L Kerlinger‚ F. N. (1986). Foundations
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Audit Sampling Using Statistical Methods Presented By: Abhishek Agrawal AUDIT SAMPLING • Application of an audit procedure to less than 100% of the items in a population – Account balance – Class of transactions • Examination “on a test basis” • Key: Sample is intended to be representative of the population. APIPA 2009 2 SAMPLING RISK • Possibility that the sample is NOT representative of the population • As a result‚ auditor will reach WRONG conclusion • Decision errors – Type
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hypothesis or question using a systematic method to discover an answer. The key to the concept of research as opposed to simply guessing at answers is the systematic approach it employs. This systematic approach is commonly referred to as the Scientific Method. Without the Scientific Method research would loose its validity because there would be no controls in place to make sure you are measuring or evaluating what you actually set out to find. The scientific method usually begins with some background
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Practical uses of statistical power in business research studies An important use of power is in the planning of sample sizes prior to gathering data used to evaluate statistical hypotheses. A number of business statistics texts illustrate this use of power (Anderson‚ Sweeney‚ & Williams‚ 1999; Daniel & Terrell‚ 1995). Again‚ however‚ the presentation is somewhat technical and developed through formulas‚ and is restricted to simple one-sample tests involving a mean or binomial proportion as the
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and a lack of control due the old employees‚ for the analysis I will use the Statistical Process Control (SPC). ¨Statistical process control (SPC) involves using statistical techniques to measure and analyze the variation in processes. Most often used for manufacturing processes‚ the intent of SPC is to monitor product quality and maintain processes to fixed targets. Statistical quality control refers to using statistical techniques for measuring and improving the quality of processes and includes
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chapter 1: STATS – STATISTICS DATA AND STATISTICAL THINKING 1.1 The science of statistics * Statistics - is the science of data. It involves collecting‚ classifying‚ summarising‚ organising‚ analysing‚ and interpreting numerical information. 1.2 types of statistical applications in business * Descriptive Statistics - describe collected data. Utilizes numerical and graphical methods to look for patterns in data‚ summarize the information in the data and to present the information in a
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Sociological methods -Topic 5- Questionnaires DISADVANTAGES Practical problems: The data from questionnaires tends to be limited and superficial because they need to be fairly brief since most respondents are unlikely to complete and return a long‚ time-consuming questionnaire. Limits the amount of information that can be gathered from each respondent May sometimes be necessary to offer incentives (entry into a prize draw) to persuade respondents to complete the form The researcher can’t be sure
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Quantitative Methods BITS Pilani Pilani Campus Course handout BITS Pilani Pilani Campus Session-1 Instructor Details Dr. Remica Aggarwal 1214 C ; FD-1 Department of Management Email: remica_or@rediffmail.com Mobile: 09772054839 BITS Pilani‚ Pilani Campus Course Details • • • • • • • Management Science Use of QM/QA Modelling Techniques Data Analysis Techniques MS Excel QM for Windows Test BITS Pilani‚ Pilani Campus Quantitative Methods • • • • • • • Operations
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