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Business Data Analysis
The objective of this report is to analyze the available data for Handy Hydraulics and find suitable strategies. Various statistical techniques such as analysis of the frequency distributions, analysis of measures of central tendency (mean, median, mode) and dispersion (variance, standard deviation, interquartile ranges), and probability analysis.

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Statistical Analysis 10
It examines the effects of low self-control, rational choice variable, and control measures on intentions to cheat in a college exam. The sample consisted of a total of 330 undergraduate students who were enrolled in six Behavioral Science courses at a public university during the spring of 1995.

2 pages (500 words)
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Standard Deviation as a Risk Indicator for Investment Purposes
Over the years, experts have come up with various portfolios in order to allow the investors and observers to determine, manage and minimize the risk associated with certain investments. Standard deviation is one of those tools, which are used widely for risk management of investment portfolios (Crouhy, Galai & Mark, pp, 44-45, 2006; Martellini, Priaulet & Priaulet, pp.

4 pages (1000 words)
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Gimi coefficient
The ratio in the gini coefficient which is a technique used to measure inequality, lies between 0 and 1, in this 0 is denoted as perfect income equality which means all of them possess same income. And whereas 1 represents as perfect income inequality which means except all one has all the income.

3 pages (750 words)
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Research Proposal Design
Determine the mean, median, and the standard deviation. Mean = $21,900. The formula is: = X/N. Median = $15,800. The median is found by arranging the values from lowest to highest value and choosing the middle value from an odd number of scores, or calculating the average of the two middle values from an even number of scores).

4 pages (1000 words)
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Standard Deviation
Standard deviation, represented by the lowercase form of the Greek letter sigma, is a statistic that tells you how tightly the data points are clustered around the mean for a given process, which in turn tells you how much variation exists. When data points are tightly clustered around the mean and the bell-shaped curve is steep, the standard deviation -- and hence the variation -- is small.

10 pages (2500 words)
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Data Analysis (Applied Research Method)
r = -0.16, -0.12, -0.188, -0.443, -0.235 respectively. Similarly we observe that there re some more negative correlations like Household public transport miles per week verses total city CO2 emissions per household per annum, number of household members, average household income per annum, number of cars per household and household car miles per year i.e.

5 pages (1250 words)
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Essay
then plotted in a scatter diagram to show the relation between the sales and price giving a line that touches most of the points and this line is translated as Q= α + βP being the linear demand equation. Coefficient α and β represent the constant term and the slope of the

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