Variance

Students in the online sections should email their cases to their online TA. Name: Jennifer Johnson Zhao Jin OIS – 3440 Applications of Business Statistics Section “00” Instructor: Professor Tariq Mughal Case 10.1 Motive Power Company – part 1 Executive Summary In case 10 .1 Motive Power Company Part 1, manufacturing manager Cregg Hart is approached by another supplier for rivets. Motive Power is very keen on their quality and are interested in evaluating the new rivets by…

 Measurements The LifeShirt, a lightweight shirt made by VivoMetrics with built-in sensors capable of measuring respirational activity, heart rate, and subject posture and activity levels, among other things, was used to measure heart rate (HR) and RSA. RSA is used to determine automatic “cardiac control” by the brain in a subject and is a measurement of changes in heart rate during a respiratory period. HR and RSA were measured every five minutes between the introduction of the subjects to the…

Variance refers to how far apart the data points are in relation to the mean. It is helpful when calculating the probability of future events. Standard deviation is a measure of how spread out numbers are and we use the variance of data to calculate it. In order to calculate the standard deviation you take the square root of the sample variance. The combination of standard deviation and mean will allow you to know the majority…

Stress Management App Efficacy: The Impact on Negative and Positive Affect Do various stress management apps effect negative and positive affect differently? The present study consisted of a randomized comparative efficacy trial, which aimed to unveil whether three stress management applications differed in their impact on negative and positive affect. Participants completed a pre-test assessment of their experiences of various negative and positive affects. The pre-test assessment also…

Implementation of Bayesian Method for basic pattern Classification Abstract: This document describes an example of basic pattern classification using the Bayesian method. Based on given two dimensional (2-D) training data for two classes, we created a classifier using discriminant function (which is the logarithmic version of Bayes formula) and used it to classify provided test data. We estimated the necessary statistical parameters, such as mean covariance and prior probabilities, from…

The total risk of a portfolio, or portfolio variance, is the combination of systematic risk and firm-specific risk. The systematic component depends on the sensitivity of the individual assets to market movements as measured by beta. Assuming the portfolio is well diversified, the number of assets will not affect the systematic risk component of portfolio variance. The portfolio beta depends on the individual security betas and the portfolio weights of…

Out of all, the burned area showed a significant increase in longleaf pines, (Pinus Palustris) and a decrease in woody species, compared to the unburned area. In fact, it jumped from a frequency of 15 in the unburned area to a frequency of 50; which is two times that of the burned area (see figure 1). Compared to all other species of tree, Pinus Palustris experienced the most increase of frequency. Whereas, Pinus Clausa or sand pine, was only present in the burned area showing that it was a…

When it comes to individual, everyone has different levels of ability to deal with memory. In reality, you will find many women complaining that their husbands or boyfriends tend to forget their birthdays and anniversaries; and men always explain that they have bad memories. So, is it true that women have a better memory than men? Dose gender affect memory? The evidence shows that gender dose affect memory. In fact, men and women are equally affected by short-term memory loss. Nevertheless,…

Theoretical Framework The Proportional Odds Model A binary logistic regression model estimates the odds and the probability of experiencing an event for the dichotomous outcome variable on a set of predictors. The logistic regression model is defined as: ln(Y′) = logit [π(x)] = ln = α + β1X1 + β2X2 + …+ βpXp. (1) where logit [π(x)] is the log odds of success, and the odds is a ratio between the probability of having an event and the probability of not having that event.…

We can easily convert this into Cartesian form by replacing z by x+iy |(x+iy)-(-3 +2i)|=5 |(x+3) + i(y-2)|=5 √(〖(x+3)〗^2+〖(y-2)〗^2 ) =5 or 〖(x+3)〗^2+〖(y-2)〗^2=25 Which is the exact form of a Cartesian equation of a circle with a center of (-3, 2) and a radius of 5 We could check if a particular point lies on the circle Ex. z2=1-3i Substituting into the equation of the circle, with z replaced by z2=1-3i |(1-3i) - (-3 + 2i)|=5 |4-5i|=5 √(4^2+〖(-5)〗^2 ) =5 41=5, which is not true, thus z2 does not…