Statistical dispersion

using the one-way ANOVA, is the following: Does the frequency in days of the week make a difference in having an ideal body weight? The one-way ANOVA is the most appropriate statistical test as the question identifies an independent variable that can have up to a maximum of 7 groups, to represent the days of the week. The statistical notation is the following: F = MSbet MSwith (Sukal, 2013, Formula 6.4) The null hypothesis would be the following: The frequency in the days of the week does…

Results In the univariate analysis factors race and side proved to be insignificant by the Wald test at 5% significance level. Hence the eruption sequence does not significantly differ among the Races and remains unchanged between left and right side in the mouth. Then a multivariate CoxPH model was fitted using variables District, SS, gender, jaw and type which were the significant variables in the univariate analysis. These five variables continued to be significant in the fitted multivariable…

Explain TABLE REGRESSION Table 4.9: Result of simple linear regression between level and ovitrap index Variable SLR Level b (95% CI) p-value -2.5 (-7.7, 2.9) 0.236 R2 = 0.421. The model not fit well: Model assumption are not met There is statistically no significant linear relationship between level and ovitrap index (p= 0.236). The increase of the multi –storey house level is not associated with the ovitrap index level. With level, the model explains 42% of variation of the ovitrap…

Exercise 7 (set 1) 1. What are three versions of the null hypothesis? The three versions of the null hypothesis are: (1) “the observed difference was created by sampling error”, (2) “there is no true difference between the two groups” and (3) “the true difference between the two groups is zero.” (Barker, 56-57) 2. Is the null hypothesis typically stated in social scientific research? Why/why not? The null hypothesis is not usually stated in social scientific research. Researchers rarely state…

Question 1 Null hypothesis The null hypothesis, which is symbolically expressed as H0, is a statement that indicates no difference between a parameter and a specific value or between two parameters. Alternative Hypothesis The alternative hypothesis, which is symbolically expressed as HA or H1, is a statement that indicates the presence of a difference between a parameter and a specific value or between two parameters. Decision Rules On testing the null hypothesis, two main decision rules are…

To assess the overall model fit of the measurement model, confirmatory factor analysis (CFA) was performed. The measurement properties resulted from CFA are summarized in Table 3. In this study, the chi-square statistic indicated the overall model was not fit very well (x^2 = 527.397, p < .001). However, The value of the normed chi-square static to sample size, showed that the model fit the data well with x^2/df at 2.028, which was lower than the recommended threshold of 3. In addition, the…

Studying research and statistics has been a challenging endeavor. Though I am not a mathematician, knowing how the data is collected and analyzed provides me with an increased comprehension of research studies that are completed, particularly in my field of psychology. One such study involving the fitness levels of children who struggle with ADHD is a case in point. Understanding descriptive statistics and ANOVA test scores allows me greater clarity into the results and conclusions of the study.…

In radiation therapy, bolus is a modality that helps compensate for differences in body contours, stop skin sparring, and to raise dose buildup on the patient’s skin (Washington, p. 171). Bolus is a tissue equivalent material, but there is not just one type of bolus. Superflab is a commercial bolus that most clinical sites use, but other bolus variations are also available for use. There is no study that compares Superflab, neon green Play-Doh, orange Play-Doh, and uncooked rice for providing…

Deviation |Std. Error Mean | |Pair 1 | | |N |Correlation |Sig. | |Pair 1 |Before & After |20 |.193 |.415 | |Paired Samples Test | | |Paired Differences…

Numerous research studies have been conducted by the CII and also other FEP researchers with regards to the implementation and critical importance of front end planning in project success. But there are very few studies that provide quantifiable statistical data supporting FEP adoption. CII has published data analysis for FEP data which analyses the relationship between project PDRI scores and scope definition, and project cost, schedule and change performance. Even though the it is evident that…