Department of Management Faculty of Management and Human Resource Development SUBJECT: SHD 1713: STATISTIC 1 LECTURER: DR‚ LOW HOCK HENG PREPARED BY: NOOR AZNEE BINTI JUNAIDI ZULFADLY BIN SAIFUL MOHD RASYDUDDIN BIN MAT NAWI MOHD HAZRUL AZEWAN MOHD ASRI BIN MOHD ARIFIN MOHD FAKERRYIKMAL BIN KAMALUDIN 820423-12-5184 870314-56-5549 830503-03-5829 810406-01-5451 750203-08-5159 890417-59-5265 SX110698HDS04 SX110718HDS04 SX110686HDS04 SX105341HDD04 SX112315HDF04 SX112317HDF04 1. A researcher
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tendency is a single value that attempts to describe a set of data by identifying the central position within that set of data. As such‚ measures of central tendency are sometimes called measures of central location. They are also classed as summary statistics. The mean (often called the average) is most likely the measure of central tendency that you are most familiar with‚ but there are others‚ such as the median and the mode. The mean‚ median and mode are all valid measures of central tendency‚ but
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Statistics is the study of the collection‚ organization‚ analysis‚ interpretation‚ and presentation of data.[1][2] It deals with all aspects of this‚ including the planning of data collection in terms of the design of surveys and experiments. In mathematics‚ a graph is a representation of a set of objects where some pairs of the objects are connected by links. The interconnected objects are represented by mathematical abstractions called vertices‚ and the links that connect some pairs of vertices
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measures of center. 1. Select a topic of interest to you and record the topic in your posting‚ for example: “What is the average number of hours people watch TV every week?” Make sure the question you ask will be answered with a number‚ rather than answers with words. 2. Write a hypothesis of what you expect your research to reveal. Example: Adults 21 years and over watch an average of 2.5 hours of TV per day. 3. Sample at least fifteen people and record their data in a simple table or chart; study
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STUDENT PERFORMANCE DETERMINANTS IN A BUSINESS STATISTICS COURSE AT A LARGE URBAN INSTITUTION CIS 3300 November 30‚ 2012 INTRODUCTION This research paper discusses the effects of several different factors on a student’s success in a Business Statistics course. The different variables include areas related to the student’s academic factors as well as factors related to the student’s personal life. The academic related variables are: course of study‚ study hours per week‚ semester credit
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that would answer particular questions on a Likert scale of ten points‚ we would be able to measure and therefore treat the variables as interval variable so that we can statistically analyze our data. According to (Miles‚ 2010 pp. 8)‚ asking for a subjective evaluation of a particular element may render the measurement as ordinal rather than interval‚ we would address this challenge by creating defined criteria’s where we can evaluate the answers given against guidelines and reject answers that would
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B Unit 1: Statistics and Probability (Calculator) Higher Tier Wednesday 9 November 2011 – Afternoon Time: 1 hour 15 minutes Paper Reference 5MB1H/01 You must have: Ruler graduated in centimetres and millimetres‚ Total Marks protractor‚ pair of compasses‚ pen‚ HB pencil‚ eraser‚ calculator. Tracing paper may be used. Instructions Use black ink or ball-point pen. Fill in the boxes at the top of this page with your name‚ centre number and candidate number. Answer all questions
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distribution function for 100 normal random numbers. The K-S test is based on the maximum distance between these two curves. Characteristics and Limitations of the K-S TestAn attractive feature of this test is that the distribution of the K-S test statistic itself does not depend on the underlying cumulative distribution function being tested. Another advantage is that it is an exact test (the chi-square goodness-of-fit test depends on an adequate sample size for the approximations to be valid). Despite
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Normal(88.532‚5.07943) Normal(97.1033‚5.04488) Normal(107.15‚5.15367) Summary Statistics Mean 88.532 Std Dev 5.0794269 Std Err Mean 0.2271589 Upper 95% Mean 88.978306 Lower 95% Mean 88.085694 N 500 Sum 44266 Summary Statistics Mean 97.103333 Std Dev 5.0448811 Std Err Mean 0.2912663 Upper 95% Mean 97.676525 Lower 95% Mean 96.530142 N 300 Sum 29131 Summary Statistics Mean 107.15 Std Dev 5.1536687 Std Err Mean
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Major Statistics Assignment Mary Grace Rivero 050853639 CNUR860-011 Vaska Micevski Friday‚ March 30‚ 2012 Major Statistics Assignment This major statistics assignment will finally pull together everything that was learned in this course. The application of all content within this course will be incorporated to three different research scenarios. Within each scenario‚ hypothesis testing will be done‚ followed by a discussion of relevant descriptive statistics and finally‚ a discussion
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