values along the Y-axis.) 3. T3: Develop a suitable tabular form and graphical bar charts of the WI‚ WEF and FS frequency. 4. T4: Determine estimates of the range‚ median‚ mode (or modal interval)‚ mean‚ 1st & the 3rd Quartiles or (25th & 75th percentiles)‚ the standard deviation‚ variance and coefficient of variation of WI ‚WEF and FS. 5. T5: Write a non-technical report interpreting your descriptive statistics‚ tabular and graphic results obtained from T3 and T4
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dispersion (also called variability‚ scatter‚ or spread) denotes how stretched or squeezed is a distribution (theoretical or that underlying a statistical sample). Common examples of measures of statistical dispersion are the variance‚ standard deviation and interquartile rang.. Dispersion is contrasted with location or central tendency‚ and together they are the most used properties of distributions. Measures of statistical dispersion A measure of statistical dispersion is a nonnegative
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Experiment # 1 Date: 18/12/13 Title: Chemical Properties of Alkanes. Aim: To test the reactivity of alkanes using cyclohexane as an example. Apparatus/Materials: Cyclohexane‚ liquid alkane‚ aqueous bromine‚ test tubes‚ light source‚ watch glass‚ splint‚ 0.1 MKMnO4‚ concentrated H2SO4‚ dilute H2SO4. Method: Combustion: 1. A watch glass was placed on a benched protection sheet in a fume cupboard and the extractor in the fume on. 2. 4 drops of cyclohexane was placed on the watch glass using
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Project Title: To investigate the fairness of a particular coin being used by a cricket umpire of ** ********* *****’ High School. Purpose of Project: Problem Statement: The Cricket Club of *** has been hosting a cricket competition over the past couple weeks. The Physical Education Captain of the school was delegated the position of umpire‚ and has therefore been making the coin toss at the start of each cricket match‚ using a special coin. However‚ many cricket captains have
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Business Statistics I: QM 1 Lecture N otes by Stefan W aner (5th printing: 2003) Department of Mathematics‚ Hofstra University BUSINESS STATISTCS I: QM 001 (5th printing: 2003) LECTURE NOTES BY STEFAN WANER TABLE OF CONTENTS 0. Introduction................................................................................................... 2 1. Describing Data Graphically ...................................................................... 3 2. Measures of Central Tendency
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MDM4U Final Exam REVIEW **This review is a supplement only. It is to be used as a guide along with other review. Chapter 1 1. The circle graph shows the relative size of each grade (9‚ 10‚ 11‚ and 12) in a high school. (a) If the school has 900 students in all‚ calculate the number of students in each grade. (b) Construct a new circle graph to show how the percent of Grade 9 students rose by 10% and the percent of Grade 11 students fell by 10% the following year. Compare graphs
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Atomic Spectroscopy using a Constant Deviation Spectrometer with Fabry-Perot Etalon Abstract A constant deviation spectrometer with Fabry-Perot etalon has been used to investigate the various atomic emission characteristics from a Zn-Cd-Hg lamp‚ a low pressure Hg lamp and a Ne lamp. The Fabry-Perot etalon of Free Spectral Range 0.010 cm-1 was used to resolve the fringes of the Hg 546.0731nm spectral line‚ and the 594.4834nm‚ 614.3063nm‚ 640.2246nm and 650.6528nm spectral lines of the Ne lamp
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Step 1- Identify the problem Develop a problem statement- What are you going to investigate (use the 6 characteristics of a good problem statement) 1. Be interested in the problem 2. Have a manageable scope 3. Be comfortable in terms of the knowledge‚ time‚ and resources needed to investigate the problem 4. Be able to collect and analyze numerical data 5. Must be a practical or theoretical reason for you to research the problem 6. It must be ethical for you to investigate the problem
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The Springville Herald Case SH2.1 Type of Error Total Percent Copy Error 54 16.9 Layout 7 2.2 Omits 13 4.1 Paste-up 11 3.4 Poor reproduction 8 2.5 Ran-in error 30 9.4 Rate quote 13 4.1 Space not needed 7 2.2 Typesetting 53 16.6 Velox 28 8.8 Wrong ad 25 7.8 Wrong date 14 4.4 Wrong position 45 14.1 Wrong manual paste-up 5 1.6 Wrong size
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STA2300 Data Analysis Faculty of Sciences Study Book Ashley Plank with contributions from The LTS Team‚ Christine McDonald‚ Paul Fahey‚ Peter Dunn‚ Shahjahan Khan‚ Taryn Swan & Rachel King ii c University of Southern Queensland‚ 2012.1 Published by University of Southern Queensland Toowoomba Qld 4350 Australia http://www.usq.edu.au Copyrighted materials reproduced herein are used under the provisions of the Copyright Act 1968 as amended‚ or as a result of application to the copyright
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