Statistics is defined by Bennett‚ Briggs‚ & Triola (2009)‚ as “the science of collecting‚ organizing‚ and interpreting data” (p. 1). Almost every profession uses statistics in some way to guide in making good decisions based on current research. The nursing profession relies heavily on current research to guide patient care with the integration of evidenced-based practice. Statistics provide valuable information to caregivers to help them understand‚ plan‚ evaluate‚ and improve the quality of patient
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The aim of this paper is to analyze the performance of a mutual fund by applying statistical tools and secondary research on the previous ten years’ annual returns of the fund and coming up with a conclusion based on the results of the findings. Analysis of the previous ten years’ annual returns will be used to analyze the risk and return of the mutual fund and propose suitable conclusions pertaining to future investments in the mutual funds. The mutual fund under consideration has not displayed
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------------------------------------------------- Introduction: This data set we have been assigned to analyze highlights the fuel-efficiency of the mentioned cars relative to several other variables. One of the major issues most stressed upon to date is the ever-increasing threat of environmental degradation‚ global warming‚ and the need to conserve our scarce natural resources. This has led us to examine the fuel efficiency of cars. With rising gas prices‚ owning a car can become quite costly
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organizing experimental data in the form of tables and graphs by proficiently using Microsoft Excel. After being provided with a set of experimental data‚ a graph is then created. The graph contains useful information such as the slope‚ which could give the density value. The calculation of significant figures was one of the key objectives in this lab as well. Significant figures are essential to interpreting data because they allow for increased precision and accuracy. Also‚ using Excel‚ the density
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Computer as an Analysis Tool Week 1: Basic Modeling in Excel Agenda Today Lesson Outcome Course Outlines and Expectations Know the course scope‚ schedule‚ assessment and assignments Construct simple Excel models Exercises Retail Gasoline Alex Processing Achilles and Tortoise Introductions Who am I? Ph.D. in Management Information Systems‚ McCombs School of Business‚ The University of Texas at Austin Previously taught in the U.S. and
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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UNIVERSITI UTARA MALAYSIA COLLEGE OF ARTS AND SCIENCES SCHOOL OF QUANTITATIVE SCIENCES GROUP ASSIGNMENT SQQS1013 ELEMENTARY STATISTICS 2nd SEMESTER SESSION 2012/2013 INSTRUCTIONS: 1. Five (5) persons in a group. 2. Answer ALL questions and show all your calculations clearly. 3. Report must be typewritten using A4 paper. 4. Every question and answers must be written on a new page. 5. The front cover for the report is as in Appendix
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08 ETHE AUSTRALIAN NATIONAL UNIVERSITY SCHOOL OF FINANCE AND APPLIED STATISTICS First Semester Examination 2010 QUANTITATIVE RESEARCH METHODS (STAT1008) Writing Period: 3 hours duration Study Period: 15 minutes duration Permitted Material: Non-programmable calculator‚ dictionary and 1 A4 page with notes on both sides Instructions to Candidates: • Attempt ALL questions. • Each question is of equal mark value. • Start your solution to each question on a new page. • To ensure full marks
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| p-value | | | | | | | | 15.22 A student team examined parked cars in four different suburban shopping malls. One hundred vehicles were examined in each location. Research question: At α = .05‚ does vehicle type vary by mall location? (Data are from a project by MBA students Steve Bennett‚ Alicia Morais‚ Steve Olson‚ and Greg Corda.) Vehicles Vehicle Type | Somerset | Oakland | Great Lakes | Jamestown | Row Total | Car | 44 | 49 | 36 | 64 | 193 | Minivan | 21 | 15 | 18 | 13 | 67
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previously mentioned‚ we will be using focus groups as our method of gathering data. The site/date that we will be using for our focus groups is our classroom on the 17th of November‚ and will consist of our classmates willing to participate in our focus group. For our second focus group‚ we have not set a date/location‚ but soon will‚ and will have participants who are all CI students between the ages of nineteen and twenty-six years old. The site what we will be using will hopefully be a classroom
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