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1.2 Agression Analysis Test

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1.2 Statistical Testing A –Correlation check between the Start measure and End measure for those given Calcium. When running a simple scatterplot diagram so as to visually check the correlation of start and end measure for calcium, it would appear that there is no obvious correlation. Calcium Correlationsa Starting Value End Value Starting Value Pearson Correlation 1 .602 Sig. (2-tailed) .065 N 10 10 End Value Pearson Correlation .602 1 Sig. (2-tailed) .065 N 10 10 a. Treatment type = Calcium When running a Pearson Correlation Test, the results for the two tailed test reveal that there is no correlation between the Start measure and End measure for those given Calcium, as there is no significance indicator at the end of the table. B - Correlation check between the Start measure and End measure for those given placebo. Again, using a simple scatterplot diagram first, to check if there is a visual linear correlation between the starting and ending values for the Placebo, it would appear that there is an amount of correlation. As there is some visual evidence of this, the author proceeded to test the strength of the correlation, by utilising the Pearson Correlation Test. Using this test, where a strong positive or negative …show more content…

In order to test the results against each other, a t-test would not be sufficient for this analysis, as this method would only allow for comparing two groups. Therefore a one way Anova statistical test could be used to test the analysis of variance. By using this, the researcher would establish whether there were any statistically significant differences between the means of the three unrelated groups of placebo, calcium and Valium. Again, for the purposes of illustration, I have run a one way Anova statistical test with the additional drug data included in the table

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The p-value for the number of correct answers was 0.09288. This p-value indicates no significant difference between the two sets of data. The t-critical value for the number correct t-test was 2.0117 and the t-statistic was 1.71525. The t-statistic did not meet the t-critical value and therefore, the data also confirms there is no significance between the scores.

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This test is selected as the research question is looking for the association between is NIofH Hypertension Category which is the independent variables and ordinal level of measurement and engagement in weekly moderate activity which is the dependent variable and is nominal level of measurement (Loiselle et al., 2011). There are two different samples and the researcher is interested in if there is an association between the two samples. A Chi-Square for independence test looks at the association between two samples that are both of a categorical level of measurement (Salkind, 2013). Lastly, the statistics assignment seven outline provided a cross tabulation SPSS output of frequencies and a Chi-Square test output. The SPSS output has four columns that consist of the independent variable NIofH Hypertension Category and two rows that consist of the dependent variable engagement in weekly moderate activity (Salkind, 2013).

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This means that there was a significant difference/correlation between the amount of flies captured in the eugenol control and 0.50 mg of methyl eugenol

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Paired Differences t df Sig. (2-tailed) Mean Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Lower Upper Pair 1 CES-D Score - CESD Score, Wave 1 .71718

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Table 4.4 The Reliability of the Instrument Constructs Items Corrected Item-total Correlation Alpha if Item Deleted Cronbach's Alpha Value of the Constructs Parents' Attitude toward FB A1 .890 .920 .942 A2 .775 .940 A3 .853 .927 A4 .848 .928 A5 .855

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The Correlation coefficient=0.523. This correlation relies on the assumption that the variables are normally distributed, and that there is no presence of outliers. Statistics GPA final N Valid 105 105 Missing 0 0 Skewness -.053 -.334 Std. Error of Skewness .235 .235 Kurtosis -.811

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CMN 556 Unit Three Journal Unit three was quite challenging and very rewarding. So many of the patients I encountered during this unit (actually unit two because I have not had any clinical so far in unit three) have had ongoing struggles with addiction, specifically to benzodiazepines. I made it one of my goals for this unit to learn more about the proper use of benzodiazepines, and to discuss with my preceptor the many options for alternative medications and the treatment of anxiety. Benzodiazepines are not prescribed as widely as they once were, not just because of the addictive nature of this medication class, but because there is new evidence-based research that shows that there is a high risk for developing early-onset dementia with prolonged use. In the past, patients with diagnoses such as Post-Traumatic Stress Disorder and Panic Disorder were given this medication in order to reduce anxiety symptoms.

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