Standerd Deviation
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Week 4 Standard Deviation Abstracts
Jose Egred
Eliza Esperance
Ernest Respi
Hannah Thompson
Quantitate Reasoning for Business
Professor Raj Singh
March 24th, 2014
Abstract: Estimating the Standard Deviation in Quality-Control Application
Purpose:
The standard deviation is normally distributing random variable, and a multiple sample
range is often used instead of the sample standard deviation. The purpose of the Estimating the Standard Deviation in Quality-Control Application study is to show the loss efficiency when using the sample range to estimate the process standard deviation is very small with relatively small sample size.
Research Question:
The research question of estimating the Standard Deviation in Quality-Control Application is the use of sample standard deviation is more efficient if the sample size exceeds two.
Hypothesis:
The hypothesis of estimating the Standard Deviation in Quality-Control Application is to see if the efficiency of standard deviation is affected by the sample size. The sample size need to more than two.
Main Finding:
The main finding of estimating the Standard Deviation in Quality-Control Application found that some previously published tables of relative efficiencies were either mislabel or inaccurate.
Abstract: Standard Deviations Implied in Option Prices as Predictors of Future Stock Price Variability.
Purpose:
Having knowledge or being able to predict accurately when a stock is going to hit the highest point or when this stock hits the lowest is a science. Many corporations and mathematicians use all type of research to gather enough evidence to get even close to the infamous swings.
“An analysis is made of a variance measure which could improve the predictive validity of a classical historical variance estimate. Latane and Rendleman derived standard deviations implied in actual call option prices (ISDs) after assuming that...
Jose Egred
Eliza Esperance
Ernest Respi
Hannah Thompson
Quantitate Reasoning for Business
Professor Raj Singh
March 24th, 2014
Abstract: Estimating the Standard Deviation in Quality-Control Application
Purpose:
The standard deviation is normally distributing random variable, and a multiple sample
range is often used instead of the sample standard deviation. The purpose of the Estimating the Standard Deviation in Quality-Control Application study is to show the loss efficiency when using the sample range to estimate the process standard deviation is very small with relatively small sample size.
Research Question:
The research question of estimating the Standard Deviation in Quality-Control Application is the use of sample standard deviation is more efficient if the sample size exceeds two.
Hypothesis:
The hypothesis of estimating the Standard Deviation in Quality-Control Application is to see if the efficiency of standard deviation is affected by the sample size. The sample size need to more than two.
Main Finding:
The main finding of estimating the Standard Deviation in Quality-Control Application found that some previously published tables of relative efficiencies were either mislabel or inaccurate.
Abstract: Standard Deviations Implied in Option Prices as Predictors of Future Stock Price Variability.
Purpose:
Having knowledge or being able to predict accurately when a stock is going to hit the highest point or when this stock hits the lowest is a science. Many corporations and mathematicians use all type of research to gather enough evidence to get even close to the infamous swings.
“An analysis is made of a variance measure which could improve the predictive validity of a classical historical variance estimate. Latane and Rendleman derived standard deviations implied in actual call option prices (ISDs) after assuming that...