examples of measures of statistical dispersion: * variance * standard deviation * interquartile range Measures of statistical dispersion * A measure of statistical dispersion is a nonnegative real number that is zero if all the data are the same and increases as the data become more diverse. If the measurements are in metres or seconds, so is the measure of dispersion. Such measures of dispersion include: * Standard deviation * Interquartile range * Range * Mean difference
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This is a one-tailed test. The critical value of t (from t table with 7 degrees of freedom) with .01 significance is 2.998 H0: dbar = 0 HA: dbar not = 0 Mean of differences -2.5 Standard deviation of differences = 2.9277 Standard error of difference-mean = sd / √ n SE = 2.9277002 / 2.8284271 Standard error of difference-mean 1.0350983 t = dbar /se t = -2.5 / 1.035098 t = -2.4152 Because it
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Standard deviation is key to predicting price volatility Wednesday, December 03 - 2008 at 12:10 Prices move up and down; all the time. Sometimes a little, but every now and then by large amounts. The measurement for these movements is called volatility, and is measured using standard deviation. Volatility is the most important price driver of option premiums. We are interested in future volatility. However, this is the only kind of volatility that we cannot know. We are able to calculate
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distributors, depending on where in the chain of production and distribution a problem occurred that led to a consumer being harmed. Liability varies greatly by state and there is no federal or uniform law governing products liability. International standards also vary greatly. Legal claims for damages from defective products were originally based primarily on theories of negligence or breach of warranty. Increasingly, however, successful claims are made on the basis of strict liability. This means
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unprecedented growth each year, it could be deemed a monopoly. The question then becomes whether regulation or breaking up the company would be a wise decision. Historically, government intervention has tended to backfire. For example, in the early 1900s, Standard Oil, owned by John D. Rockefeller, was deemed a monopoly. The Supreme Court ruled in
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from 1 gallon. (b) p-value = 0.0771. If the population mean amount of paint contained in 1-gallon cans purchased from a nationally known manufacturer is actually 1 gallon, the probability of obtaining a test statistic that is more than 1.7678 standard error units away from 0 is 0.0771. Problem 3 (a) Decision rule: Reject if |tSTAT| > 2.0555 d.f. = 26 Test statistic: Decision: Since |tSTAT| < 2.0555, do not reject . There is not enough evidence to conclude that
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Lookout Report from S&P Valuation and Risk Strategies Making The Case For Eight Consecutive Quarters Of Double-Digit Earnings Growth Michael Thompson Managing Director Valuation and Risk Strategies (1) 212-438-3480 michael_thompson@standardandpoors.com Robert Keiser Vice President Valuation and Risk Strategies (1) 212-438-3540 robert_keiser@standardandpoors.com Lisa Sanders Director Valuation and Risk Strategies (1) 212-438-3291 lisa_sanders@standardandpoors.com Although less than two weeks
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d-hoc Statistics Report submitted to the CEO October 16, 2011 Table of Content Title Page ...............................................................................................................................................i Table of Contents ..................................................................................................................................iii Vacation Histogram .....................................................................................
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[pic]Chapter 1 Introduction and descriptive Statistics 1-1. 1. quantitative/ratio 2. qualitative/nominal 3. quantitative/ratio 4. qualitative/nominal 5. quantitative/ratio 6. quantitative/interval 7. quantitative/ratio 8. quantitative/ratio 9. quantitative/ratio 10. quantitative/ratio 11. quantitative/ordinal 1-2. Data are based on numeric measurements of some variable, either from a data set comprising
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females and 70.5 for males), more than double what it was in 1949. Life expectancy at birth is a measure of overall quality of life in a country and is a clear indication that life is getting better for most Chinese. Adult illiteracy, high by any standards before 1949, sank to only seven percent in 2006.
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