Distribution, Regression, and Forecasting

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This is 11-16-09 lecture notes

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Mean, median, mod, stand. Dev. ,Skewness, and Z values, Normdist, STANDARDIZE, and Z-table : Mean, median, mod, stand. Dev. ,Skewness, and Z values, Normdist, STANDARDIZE, and Z-table Chapter 6 Demo Skew: provides estimation of normal distribution mean: provides average data value median: provides dataset middle point mode: provides most common data normdist: provides the probability that a dataset exist at or below a considered value. Standardize: how many standard deviation a given dataset value is away from the mean. NORMINV: given a probability distribution, what is the value of the considered data http://www.statsoft.com/textbook/sttable.html

Probability distribution, Regression, and forecasting : Probability distribution, Regression, and forecasting Chapters Probability distribution: Ch-6 Regression: Ch-11-12 Forecasting: Chapter 13

Probability Distribution : Probability Distribution Density function: provide the probability of occurrence of each value in a considered dataset. Normal Distribution: when a given dataset value can be in different ranges. For example, stock market prices, blood pressure values, etc. Binomial distribution: Summarizes a group of independent observations by the number of observations in the group that represent one of two outcomes. For example, the proportion of individuals in a random sample who support one of two political candidates

Density Function : Density Function

Normal Distribution : Normal Distribution

Binomial distribution : Binomial distribution Cumulative distribution Individual distribution

Regression : Regression Demo

Forecasting : Forecasting Demo

Projects progress : Projects progress ?

Questions : Questions ?

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