ADDITIONAL MATHEMATICS: PROJECT WORK 2013 “Statistics in our daily life.” CONTENTS Introduction Acknowledgement Part 1 Part 2 Part 3 Further exploration Conclusion Reflection INTRODUCTION I‚ along with my fellow classmates‚ had been given a task by our Additional Mathematics teacher‚ which was the Additional Project Work 2013. Statistics is the study of the collection‚ organization‚ analysis‚ interpretation and presentation of data. It
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actuarial field and finds the average salary to be $41‚000. The population standard deviation is $3000. Can her claim be supported at 0.05? x¯=14.7‚ μx¯=13.77‚ ox¯=5.34‚ n=29‚ α=.01 3. Monthly Home Rent. The average monthly rent for a one bedroom in San Francisco is $ 1229. A random sample of 15 one bedroom homes about 15 miles outside of San Francisco had a mean rent of $1350. The population standard deviation is $250. At a=0.05 can we conclude that the monthly rent outside San Francisco differs
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Table of Contents TASK 1 Scenario: 3 TASK 2 8 TASK 3 12 TASK 4 19 References 23 TASK 1 Scenario: You have been approached by London Marketing Research Company Ltd (LMRCL)‚ to conduct a research to open up a new restaurant chain by Commission Restaurateur (CR) the Restaurants and eateries belonging to this group. You have been approached to conduct a thorough research and finally present the details to the group itself. 1.1 Create a plan for the collection of primary and secondary data for a given
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can be included in y f. Represents the simplest measure of spread (or variability) g. Indicates the most frequent observation in a frequency distribution h. Represents a theoretical family of distributions that may have any mean or any standard deviation i. Indicates how widely the out around the measures of central tendency j. Measure an event over time B. Match the following data display tools with their descriptions. (Descriptions may be used more than once or not at all.) A horizontal
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ERROR ANALYSIS Error analysis emerged with the growing criticism of constrictive analysis. It was S.P Corder who first advocated in ELT and Applied linguistics community the importance of errors in language learning process. Corder (1967) mentions the paradigm shift in linguistics from a behaviouristic view of language to a more rationalistic view and claims that in language teaching‚ one noticeable effect is to shift the emphasis away from teaching towards study of learning. Corder further
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Lab 1‚ problem 3: Motion Down an Incline Shaoren Yuan October 5‚ 2013 Physics 1301W‚ professor: Dr. Zudov‚ TA: David Abstract The processes of a cart rolling up and returning back along a track were recorded‚ and the processes (motion of the cart.) were described as equations. Also‚ we calculated the accelerations of every stage (aup‚ adown and ahighest). Then the relationship among aup‚ adown and ahighest was concluded. Finally‚ the acceleration was measured and was proved from data. Introduction
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the bar level of each histogram bin. 7. Data Analysis 7.4 Typically the two estimates differ quantitatively between 85% and 1%‚ and the individual values vary from 75% to 140% about the main trend. 8 Summary Tables Quantity Mean Standard Deviation MPG Calculated 42.476 5.772 MPG Cosine Fit Residuals 0 4.7571 MPG Calculated / MPG Readout (%) 0.95314 0.08844 f(x) fits a b c true parabola parameters 40 -7.5 0.6 f(x) fit parameters 40 -7.5 0.6 Fuzzy f(x) fit parameters
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statistic approximately equal to the number of degrees of freedom. Residuals that are randomly distributed about zero. A poor fit has: A chi-squared much greater than or much less than the number of degrees of freedom. Residuals that show a systematic deviation from zero. One or more fitted parameters that are zero within
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NORTHCENTRAL UNIVERSITY ASSIGNMENT COVER SHEET Student: Laura Baker THIS FORM MUST BE COMPLETELY FILLED IN Follow these procedures: If requested by your instructor‚ please include an assignment cover sheet. This will become the first page of your assignment. In addition‚ your assignment header should include your last name‚ first initial‚ course code‚ dash‚ and assignment number. This should be left justified‚ with the page number right justified. For example: BakerLPSY3004-
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Describing Sensor Performance: When describing sensors and instrumentation systems we make use of a range of terms to quantify their characteristics and performance. It is important to have a clear understanding of this terminology‚ so we will look briefly at some of the more important terms. • Range: This defines the maximum and minimum values of the quantity that the sensor or instrument is designed to measure. • Resolution or discrimination: This is the smallest discernible change
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