Analysis of variance

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    Statistics Worksheet

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    regression model. It is important to know the amount of shared variance when interpreting both the significance and the meaningfulness of a correlation coefficient in order to determine whether the predictors are useful in the model. In order to predict how well a student might do in college, a researcher might examine various variables, including SAT scores, age, gender, race, and socioeconomic status. In this regard, she might use regression analysis. The p value of a correlation coefficient…

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    sonication) (Fig. 1), growth kinetic parameters calculated and compared (table 2). It was apparent that logarithmic phase duration and growth rate of strain were increased by sonication. 3.3. The effect of ultrasound on lactic acid production: The variance analysis results of effect about the independent variables on amount of lactic acid production in MRS broth and PPM are shown in table 3 and table 4. The model was highly significant…

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    2-8- Statistical analysis Results are presented as mean±standard deviation (SD) of two replicated determinations. Data were subjected to one-way analysis of variance (ANOVA) and multiple comparisons were performed by Duncan's test. Statistical significance was set at P>0.05. All analyses were performed using SAS version 9.1 (PROC GLIMMIX; SAS Institute Inc., Cary, NC). 3. Results and discussion 3-1- physicochemical changes of grape juice contain encapsulated probiotics 3-1-1- pH According to…

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    Mis-790 Comprehensive Exam

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    MIS 790 Comprehensive Exam Q1. To be able to build prediction models of botnet attacks, we had to decide information requirements. (a) What process did you use for identifying predictor variables for modelling botnet traffic flows? (b) What additional measures can be taken in terms of information (or data) gathering to further improve the accuracy of the prediction models? (a) I started with a literature survey and read articles to understand the problem and technical terms. To understand the…

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    2.4. Data Analysis For the analysis of the quantitative data, one-way ANOVA, Chi-Square test of independence and descriptive statistics were applied. For ANOVA, in order to determine which groups caused the significant difference, Tamhane T2 test, one of the most common post hoc (multiple comparison) tests, was used. For the normal distribution of data, the skewness and kurtosis coefficients were examined. For the normality test skewness coefficient of a distribution taken in the range of -1.5…

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    ought to develop competitive provider base out of bulk suppliers offered within the market that might end in competitive advantage over its competitors. Second, they require to enhance their provider choice method in order that there would be low variance and exclusion of inessential activities that might ultimately facilitate in achieving the value, quality and repair improvement objectives. Research question: UltraTech Cement Ltd, however will the prevailing provider choice method be improved…

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    was run to predict the wine rating from different features (fixed.acidity, volatile.acidity, citric.acid, residual.sugar, chlorides, free.sulfur.dioxide, total.sulfur.dioxide, density, pH, sulfates, alcohol) of wine in R. According to the initial analysis on the distributions of the features, many of those features are right-skewed and thus require log transformation. Forward Selection Algorithm was used to find the best predictive models for wine quality where each feature is added to the model…

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    Balance In Health

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    Balance Balance is evaluated on 7 items. Again, points are administered for independence and strength of performance of individual actions, such as sitting or standing. Maximum score for this section is 14. The Barthel Index of Activities of Daily Living The Barthel scale (reference) is a ten item index assessing patients Activities of Daily Living (ADL) and morbidity, including: absence or presence or faecal and/or urinary incontinence, as well needing help with grooming, toilet use,…

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    Gait Varibility

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    The role of gait variability in the elderly Introduction Fall-related injuries have been one of the main causes of accidental death in older adults. Moreover, it has been shown that over 33% of adults over the age of 65 will fall every year [1]. For people between 75 and 84 years old it is the second leading cause of injury death, and for people over 85 it is the leading cause [2]. The high number of falls not only has great effect in the elderly health, but it shows a very high cost in the…

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    Addiction Case Studies

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    Case Studies A number of studies on technological addiction are seen when the literature is analyzed. In a two-year longitudinal study of 3,034 third through eighth grade students in Singapore found approximately nine percent of gamers to be pathological players according to standards similar to those established by the American Psychiatric Association for diagnosing gambling addiction. Also, in a study conducted by Gentile indicated that video games were played by 8.5% of…

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