Statistical tests

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    Welding Simulation

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    to examine their hypothesis about the assumed issues on simulated platforms. Using such simulating programs in a Six Sigma process are called Design of Experiments (DOE). DEO is used to detect cause-and-effect relationships and put them in the statistical examination to find the significant parameters in order to take a proper measure to improve the process.…

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    Before proceeding with any statistical procedures, I conducted a preliminary analysis using descriptive statistics and frequency analysis. Both were used to assess the characteristics of the data, check for violations of assumptions underlying the statistical techniques, as well as address research specific data requirements (Pallant, 2013). Using frequency analysis, I checked the minimum, maximum, and range of the categorical variables to identify errors and address the same. Additionally, I…

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    Ikc

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    and 65 females. Data analysis was done with SPSS for Windows 14.5 software package. Correlations were carried out using the Spearman rho in order to detect any possible correlations between demographic information and item ratings. The Mann-Whitney U test was utilized to compare statistics amongst the subgroups based on graft type, surgery, age, and time post-surgery. Significance was set at p < .05. The authors…

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    Biofeedback In Nursing

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    Nursing Students experience a significant amount of stress and anxiety during their time in nursing school. In the article Biofeedback Intervention for Stress and Anxiety Among Nursing Students: A Randomized Control Trial, the researchers discuss the use of biofeedback measuring heart rate variability to control the amount of stress and anxiety second year nursing students experience during their clinical. The researchers decided use biofeedback heart rate variability (HRV), since there have…

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    the self-report nature of the variable can be a cause for concern. Bivariate Test Since the dependent variable in this test is continuous and the independent variable is ordinal, the most appropriate bivariate test is an ANOVA test. For this test, the number of organizations that a group belonged to was lowered to a maximum of four, simply because there were so few responses of five or above. The results of the test are presented in Table 1 Table…

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    report the main points in the article “How to Avoid Statistical Traps”. I will explain why it is a necessity to use more than one statistical report for an assessment to be accurate concerning research methods within the educational system. Furthermore, I will also illustrate why this article was not surprising due to the clarifications provided by Gerald W. Bracey concerning research methods. Gerald W. Bracey, in the article “How to Avoid Statistical Traps”, explains why researchers should be…

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    probe item that measured the participant’s memory for recall, with a total of 60 trials. Computer specific details were provided. The “n” key was used to start the next trial, the “m” key was used to answer yes when the probe number had appeared in the test trial and the “z” key if it had not. Procedure Every participant had to log onto the class’s subscription based website coglab.com and sign into their individual…

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    1. Jackson, even-numbered Chapter Exercises, pp. 308-310. 2. What is the difference between a randomized ANOVA and a repeated measures ANOVA? What does the term one-way mean with respect to an ANOVA? According to Jackson (2012), a randomized ANOVA is an analysis of variance conducted on data where the participants are randomly assigned to conditions in a between-subjects design (Jackson, 2012, p. 286). A repeated measures ANOVA is an analysis of variance conducted on data where the participants…

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    | | |N |Correlation |Sig. | |Pair 1 |Before & After |20 |.193 |.415 | |Paired Samples Test | | |Paired Differences | |9 |4 | |3…

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    autocorrelation present in the model. To make sure that there is no perfect collinearity present in the model, it is recommended to run a collinearity test of the model (see: Exhibit 1.1). If a variable generate a VIF (Variance Inflation Factors) value above 10.0, the model might have a collinearity problem and attempts to correct the model should be made. However, the test did not generate any VIF values above 10.0 for any of the variables, thus not suggesting any problems and also implying…

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