are two main branches of statistics that include descriptive statistics and inferential statistics.Descriptive statistics gives numerical measures that describes the features of a given set of data. Inferential statistics on the other hand takes a sample of a given population‚ analyses the sample‚ and from it draw conclusions about the population .Malcolm.O.Asadoorian and Demetrius Kantarelis in their book: Essentials of inferential statistics argue that descriptive statistics organize ‚ summarize and
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Statistics in Business QNT/351 William Modey Quantitative Analysis for Business Salonyia Fisher Summary Statistics is accurately defined as the study of the analysis‚ data collection‚ and organization of the data which is interpreted by a particular business field. Statistics main focus is usually dealing with the preparation procedure of the data collection in the course of developing surveys and creating experiments. When an organization uses statistics‚ it needs to be taken into consideration
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Subject Areas Use of Statistics 1. World of Sports • Enter results from the different tournaments around the world • Research projects to improve the quality of the game and keep the fans interested • provide analysis on players and team strategy‚ as well as tackle larger research projects • statistical t tools include basic regression analysis‚ logistic regression‚ Monte Carlo simulation‚ classification‚ and hierarchical regression 2. Education • Statistics provides simple yet instant information
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Statistics in Business QNT/275 January 12‚ 2015 Kim Gravelle Statistics in Business Statistics are simply a way of gathering information from data. Learning from data is the essential use of statistics. The extraction of answers from data provides the foot print for further investigation and research. There are several different types and levels of statistics‚ they are nominal‚ ordinal‚ interval‚ and ratio ("Data Levels of Measurement"‚ 2014). The first level being nominal‚ allows for the use
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Chapter I Introduction HISTORY The late Florentino Cayco‚ Sr.‚ first Filipino Undersecretary of Public Instruction and illustrious educator‚ conceptualized the birth and administered the growth of Arellano University. This prestigious institution of learning opened in 1938 as the Arellano Law College‚ named after Cayetano Arellano‚ first Filipino chief justice. It closed in December 1941 until March 1945 under the Japanese occupation of the Philippines during World War II. At the end
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they‚ especially Bean‚ really wanted to know how they were doing in comparison to the first team. This perception that their increased efforts would yield better performance and that this performance would in turn yield better outcomes are concrete examples of their E-to-P and P-to-O expectancies‚ respectively. That’s not to say that Garriot’s perceptions and values didn’t follow the same motivational theory as he was just as interested in real and measurable data as his crewmates. Even though all
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In my thesis‚ I will analyze three websites on obesity statistics in the United States. The analysis of each website will contain how they function as sources‚ their strengths and weakness. The first source on obesity statistics is from the National Conference of State Legislatures (NCSL). This website is for policymakers to give them access to research‚ technical assistance and opportunities to exchange ideas on state issues. This information captures the basic overview where obesity occurred in
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QM2 Project Case Study 1- Consumer Characteristics Index Sno Title Page.no 0 | Introduction | 3 | 1 | Summarizing data using Descriptive Statistics | 4-6 | 2 2.1 2.2 | Estimated regression equations. Independent Variable- Annual Income. Independent Variable- Household Size | 7 8 9 | 3 | Better predictor of annual credit card charges | 10 | 4 | Independent variables- Annual income and Household size | 11 |
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3ER PARCIAL Inferential statistics Sampling * The purpose of sampling is to select a set of elements (sample) from a population that we can use to estimate parameters about the population * The bigger the sampling‚ the more accurate our parameters will be. example: In the experiment of deciding if CEGL girls are smarter that CEGL boys‚ which would be your statistical hypothesis? Hypothesis testing But now‚ you already gathered information about a sample No‚ you will test if your
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common is using a computer program to randomly select the sample. Another example would be to assign each potential subject a number‚ and then randomly select numbers from a random numbers table to fulfill the required number of subjects for the sample. Stratified random sampling is used when the researcher knows some of the variables within a population that will affect the representativeness of the sample. Some examples of variables include age‚ gender‚ ethnicity‚ and medical diagnosis. Thus‚ subjects
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