24/10/2011 MTH 110 – INTRODUCTION TO STATISTICS Session 4 – Measures of Dispersion‚ Variance and Standard Deviation Instructor: Manos Takas Email: m.takas@cityu.gr Range Look at these two sets of data: 2‚ 3‚ 4‚ 5‚ 6 3‚2‚3‚5‚13 -3‚2‚3‚5‚13 They both have a mean of 4. However‚ you can see that the first data set (21 is more spread out than the second data set. The mean doesn’t tell you this. _ To represent the data more accurately‚ you need the mean plus a measure of the spread or dispersion
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IS PHOTOSYNTHESIS WAVELEGNTH DEPENDENT? THE EFFECT of different COLOR FILTERS ON The rate of photosynthesis in english ivy leaves author: Cherylle chapman partners: sharif alston‚ ALEX SAFAVOV & EDuardo vie (Group 3) OBSERVATIONS & HYPOTHESIS In the lab‚ we observed green plant leaves convert light energy into chemical energy by using photosynthesis. The species of green plant leaves that were used in this experiment were Hedera helix‚ commonly known as English Ivy. These plant leaves have both
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University Of Essex Department of Psychology Research Methods in Psychology (PS114) Laboratory Report A study to test the extent to which the Horse Race Model is the reason for the Stroop effect 1202353 Date: 21/03/12 Word Count: 1950 A study to test the extent to which the Horse Race Model is the reason for the Stroop effect Abstract This study looked at the Horse Race Model and whether it is the main reason for the presence of the Stroop effect
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Chapter 3 Statistical Summary This topic covers: The concept and measures of central tendency for ungrouped and grouped data. The concept and measures of dispersion for ungrouped and grouped data. Introduction When we look at a distribution of data‚ we should consider three characteristics: Shape (chapters 2 and 4) Center / Location (central tendency measurement) Spread (dispersion measurement) With these characteristics‚ we can numerically describe the main features of a data set
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| | | |[v]. |The tighter the probability distribution of its expected future returns‚ the greater the risk of a given investment as measured by | | |its standard deviation. | | |
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Sample Midterm I Econ 3790: Statistics for Business and Economics Instructor: Yogesh Uppal You are allowed to use a standard size (8.5*11) cheat sheet and a simple calculator. Please write all the answers with a BALL-POINT PEN or an INK PEN. If you have any questions during the exam‚ please raise your hand. GOOD LUCK!!! I am sure you guys will do great. Multiple Choice Identify the letter of the choice that best completes the statement or answers the question and write it in the space given
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1983‚ fmal version received August 1984 This paper examines properties of daily stock returns and how the particular characteristics of these data affect event study methodologies. Daily data generally present few difficulties for event studies. Standard procedures are typically well-specified even when special daily data characteristics are ignored. However‚ recognition of autocorrelation in daily excess returns and changes in their variance conditional on an event can sometimes be advantageous
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tables）：2335 Date Submitted: 29/04/2013 Critical evaluation of Heteroskedasticity in Stock Returns Motivation A large numbers of researchers pointed that variance of aggregate stock returns changes over time. They figuring out that the standard deviation of aggregate monthly returns are different between two periods. Prior researches took heteroskedasticity as a purely statistical problem‚ just as a potentially confounding factor in estimating the market model. However‚ many authors opposed
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used in survey‚ * To analyze particular questions of the questionnaire‚ * To assume the expected outcome from the questionnaire‚ * To know the theoretical aspect of statistical analysis‚ * To calculate the arithmetic mean‚ the mean deviation‚ and co-efficient of variance of the sales and profit of a particular company‚ * To analyze the correlation and regression between the sales and profit of the company‚ * To show the graphical analysis of that profit and sales etc. Methodology
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Production 2 Speculative Production: Overstock versus Stockout? Assume that Sport Obermeyer: is in the Speculative Production phase‚ forecasts that demand (D) for the Andy parka has a Normal Probability Distribution with a mean of 1000 and a standard deviation of 250‚ and has decided that the Andy parka’s Speculative Production should be Q=750. Pr{Stockout}=Pr{D>Q} =0.841 Pr{Overstock}=Pr{D<Q} =0.159 750 Q During the Speculative Production‚ Sport Obermeyer should be more concerned about 3 Speculative
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