Frequency distribution S Manikandan Assistant Editor‚ JPP Address for correspondence: Manikandan S.‚ Department of Pharmacology‚ Indira Gandhi Medical College and Research Institute‚ Kadirkamam‚ Puducherry‚ India. E-mail: manikandan001@yahoo.com Author information ► Copyright and License information ► Copyright © Journal of Pharmacology and Pharmacotherapeutics This is an open-access article distributed under the terms of the Creative Commons Attribution License‚ which permits unrestricted
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s |COLLEGE OF THE BAHAMAS | |BUSINESS STATISTICS | |FIRST INTERM EXAM | |COURSE: STAT201
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The following report presents the detailed statistical analysis of the data collected from a sample of credit customers in the department chain store AJ DAVIS. The 1st individual variable considered is Location. It is a qualitative variable. The three subcategories are Urban‚ Suburban and Rural. Since this is a qualitative variable‚ the measures of central tendency and descriptive statistics has not been computed for this variable. The frequency distribution and pie chart are given as follows:
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| Course Project: AJ DAVIS DEPARTMENT STORES | | Part A | | | | The following report presents the details of the statistical analysis of the data collected from a sample of fifty credit customers of the department AJ Davis department store chain. The data collected was based on five variables‚ which were location‚ income‚ size‚ and years at current location and credit balance. The first variable analyzed was Location. The location data is a categorical variable; this was further
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Unit 1 Problem Set 1 26. Surgery Versus Splints A study compared surgery and splinting for subjects suffering from carpal tunnel syndrome. It was found that among 73 patients treated with surgery‚ there was a 92% success rate. Among 83 patients treated with splints‚ there was a 72% success rate. Calculations using those results showed that if there really is no difference in success rates between surgery and splints‚ then there is about 1 chance in 1000 of getting success rates like the ones obtained
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SummaryOctober 1‚ 2014Executive SummaryThe purpose of an executive summary is to summarize a report. Executive summaries are written for executives who most likely do not have time to read a complete document. Therefore‚ the executives summary must cover the major points and be detailed enough to mirror the content yet concise enough for an executive to understand the substance without reading the entire report. An executive summary differs from an abstract. Readers use an abstract to decide whether
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a safe walkway‚ resulting in injuries to her left knee‚ ankle and wrist‚ and leading to physical limitations and “substantial” mental and physical pain and suffering. FN1 Appellant’s App. p. 4. On September 2‚ 2005‚ University filed a motion for summary judgment‚ arguing that it was excused from liability because it had demonstrated that
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in Queensland; nevertheless‚ the general point he made has substance. Queensland laws dealing with offensive behaviour were once found in the Vagrants Gaming and Other Offences Act 1931‚ and can now be found in the Summary Offences Act 2005‚ particularly at s6. You can find the Summary Offences Act 2005 and commentary in your copy of Carter. In Theophanous v Herald and Weekly Times Ltd (1994) 182 CLR 104 and Lange v ABC (1997) 189 CLR 520‚ the High Court found that the Australian Constitution implied
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Business – Week 3 Assignment. 1. What court decided the case in the assignment? Court of Appeals of Ohio‚ First District‚ Hamilton County. 2. According to the case‚ what must a party establish to prevail on a motion for summary judgment? In order to prevail on a motion for summary judgment‚ a movant has the burden to demonstrate that no genuine issue of material fact remains to be litigated‚ that is entitled to judgment as a matter of law‚ and that it appears from the evidence‚ when viewed most strongly
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II. Chapter 2: Tabular and Graphical Methods (Organizing and Visualizing Data) Objectives: 1. Recognize which summaries are used for numeric data or for qualitative data. 2. Construct a frequency table‚ bar graph and pie chart for qualitative data. 3. Convert raw data into a data array. 4. Construct frequency table‚ relative and cumulative frequency tables‚ histogram‚ and ogive for quantitative data. 5. Construct a stem-and-leaf display to represent quantitative data. A. Summarizing
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