statistics. Statistical analysis is important to businesses and provides the foundation for decision making. Dealing with data is an everyday occurrence for business professionals. This course will address how to get information from data and will cover describing data and relationships‚ probability‚ confidence interval estimation‚ and hypothesis testing among other topics. Class Objectives: 1. Students will be able to make data-driven‚ fact-based decision making using statistical techniques
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Monty Python and the Holy Grail Logic affects our lives everyday. We use it both subconsciously and consciously to make decisions which can be as important as our careers‚ or as insignificant as what to eat for lunch. Logic can also be used in other ways. Ironically‚ others’ bad logic can result in us learning something just as much as we learn from our own bad decisions. This is shown in Monty Python’s Quest for the Holy Grail. One example of this ironic use of logic is with the trial
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Hypothesis testing I Kevin Soo Outline • • • • Theory and the research process What is a hypothesis? Hypothesis testing Statistical models Theory and the research process Theory • A belief – Can be true or false – P (belief) • A proposed/possible explanation for something – ‘Some students do poorly at statistics because they have less exposure to mathematics’ – ‘Women don’t date me because I’m ugly’ – ‘Manchester United lost the Premier League because they struggled with injury
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which the opposite of the original theory‚ and tests against the alternative hypothesis‚ which correlates with the original hypothesis. To establish if the null hypothesis is valid statistical tests can help compare the means from two groups‚ and the results will verify if the theory is correct. These statistical tests‚ including the t-test and z-test are useful for determining the probability of truth to any hypothesis. Furthermore‚ the relation to this week’s topics in this team’s members career
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THE MONTHLY DEMAND FOR CHICKEN IN A RURAL VS AN URBAN AREA IN GUYANA A PROPOSAL INTRODUCTION The demand for chicken refers to the quantity of chicken demanded by households (in lbs) in the identified areas (one rural and one urban)‚ at the available prices within the specified areas. It must be noted at this point‚ that the true population in any given situation is never really known. As such samples are usually collected and estimated using econometric methods. The results are then used
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STATISTICAL APPLICATIONS Hsiao Chun Teng HCS/438 July 15‚ 2013 Stephen Young STATISTICAL APPLICATIONS The pie chart shows percentage among adults with diagnosed diabetes receiving treatment of insulin or oral medication. It is normally used to present the data. I believe that this was a proper graph used to present the data. The information is clear. The data was presented in a good visual that I could recognize the patterns and trends. The colors used to differentiate type of treatment
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Sweetening Statistics Sandeep Agrawal Professor Dr. M. Reza Zomorrodian MAT300 March 12‚ 2013 Abstract The following assessment investigates the practices involved in this semester’s statistical M&M evaluation. The paper initially describes the individual random samples taken and then combined into the class’ data set. Then the totals‚ their proportions‚ and some other descriptive statistics are detailed before examining the confidence intervals for the proportions. The next
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an average of something such as a G.P.A. or your overall grade in a class. Inferential statics can be used to find the effectiveness of a new medication on a target group. References: Bennett‚ J.O.‚ Briggs‚ W.L.‚ & Trivola‚ M.F. (2009). Statistical reasoning for everyday life (3rd ed.). Boston‚ MA: Pearson Education. DQ2: What are the four levels of management? The four levels of management are: The nominal level of measurement is the simplest level of variables such as hair color or
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determine the appropriate statistical method to use to test hypotheses‚ (c) conduct and interpret a variety of statistical tests‚ and (d) write a quantitative research report. Course Goals In this course you will learn: 1. the language of quantitative research (vocabulary‚ concepts). 2. how to use statistical software and datasets. 3. the distinction between descriptive and inferential statistics. 4. hypothesis testing 5. how to choose an appropriate statistical test. 6. how to conduct
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Question 1 Section A 1a It may not be possible or practical to analyse an entire population‚ instead a sample of the population may be used to predict or infer something about the population. Inferences may be point estimates which estimate a single parameter or interval estimates which represent a range of values likely to contain the parameter‚ known as confidence intervals. The width of the confidence interval gives us some idea about how uncertain we are about the unknown parameter. The narrower
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