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1. Statistical analysis of air pollution data.
1. Statistical analysis of air pollution data.

... The basis of control of air pollutants consists essentially of two different approaches: 1. Use observations in field studies to develop the empirical source-receptor relationships (for instance, using statistical receptor models); 2. Application of various mathematical chemical transport models tha ...
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... ground based mode of transport (train, bus or car). I divided those 152 individuals into low and high income families based on the median income. A cross tabulation of the mode of travel vs. the income level for these 152 travelers was as follows: ...
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... 1. Provide the graph of data, verbal description of the result with reference to Zipf’s law. (3 marks) 2. (3 marks) CPI There are millions of different products, it’s impossible to get the whole population information to construct an index of typical consumer prices without sampling products. Allowi ...
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... being measured in a population are somehow inter-related. For example, the MEMPOT program is based on an equation, which gives one variable, membrane voltage, in terms of a second variable, electrolyte concentration. However, as this equation is fairly complex, it is useful to start with a relations ...
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... A point estimator is a statistic that provides an estimate of a population parameter. The value of that statistic from a sample is called a point estimate. The Idea of a Confidence Interval A C% confidence interval gives an interval of plausible values for a parameter. The interval is calculated fro ...
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... Operating in a multiple hospital system with approximately 40 mobile medical units, the service goal is to be able to respond to medical emergencies with a mean time of 12 minutes or less. The director of medical services wants to formulate a hypothesis testing procedure that could use a sample of e ...
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... Coefficient of determination, R2: Between 0 and 1; The % change in y due to change in x Correlation coefficient, R: Between -1 and +1; -1 is perfect negative correlation, +1 is a perfect positive correlation Residuals, Residual plot Misleading / misrepresented statistics  Changing the scale  Too s ...
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Misuse of statistics

Statistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.The false statistics trap can be quite damaging to the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of probability theory and lack of standardization of their tests.
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