Statistical dispersion

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    Goals In Field Work

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    The questions posed should be reflective of your goals and should appeal to a large audience. Committees always want to know your potential and if you can convey your ideas effectively. Before starting, find out what most interest you, not you advisor nor anyone else. If no ideas come to mind, refer back to previous studies for ideas. Develop your questions, and don’t be obsessed about perfection; a lot of factors in field work are out your control, so try several experiments at once, and work…

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    However, even though this is the population from which a sample was taken for the research, it may be assumed that ultimately the goal of the study is to define the population as all workers in Taiwan, for purposes of extrapolation of the data. Additionally, only respondents holding a full-time job were selected for the analysis in order to highlight the potential effects of work/family conflict (Lu et al., 2011). Description of Data and Descriptive Statistics A wide variety of data was…

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    Snowpea Case Summary

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    sufficient statistical evidence at the 5% significance level (t=-3.981 and tcrit=-2.021) to reject the null hypothesis that the mean of D3 is not significantly different than the mean of D1. Consequently, another two-sample Pooled t test was used to test the hypothesis that the mean delivery speed of deliveryman 4 (D4) is not significantly different from mean delivery speed of deliveryman 1 (D1) at a 5% level of significance and 39 degrees of freedom. There was sufficient statistical evidence…

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    2. Number of field generations: Data present in fig (1 and 2) and Table (2 and 3) indicated that the cottony camellia scale, P.floccifera has one annual generation, and these results were ensured throughout the two years of study of the insect population under field condition at Assiut governorate. The number of generations was taken from the annual number of peaks of nymphs. During the first year of investigation, the percentage of nymph population recorded 78.81%of the total population through…

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    statistically significant data or results. Further tests could have been done with an increased sample size that could possibly yield at statistically significant p-value. By modifying the messages for future tests, we could be able to increase the statistical significance of the results. We could create a very bland message with all the writing the same size black and white, boring font, then we could create a colorful message with different fonts and font sizes that is appealing to the…

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    Lansoprazole Analysis

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    Table 5 Evaluation of Lansoprazole microparticles Formulation Code Particle size(μm) Percentage (%) yield Entrapment efficiency (%) F1 181.35± 0.5 72.6±0.10 61.84±0.16 F2 200.53± 0.6 74.4±0.45 63.29±0.70 F3 221.70±1.1 77.80±0.96 64.69±0.90 F4 225.2±0.57 81.60±0.52 66.90±0.90 F5 240.72±0.8 83.52±0.56 73.35±0.46 F6 246.72±0.4 87.71±0.20 75.00±0.09 Surface morphology of the lansoprazole microspheres were shown in Figure 6. Particle surface of formulation F1 was slightly rough surface but…

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    3.8.2 Geary’s C Another measure of spatial autocorrelation is Geary’s C statistic which ranges from 0 to 2 where 0 signifies maximum positive spatial autocorrelation or clustering, 1 signifies no autocorrelation or randomness and 2 signifies maximum negative autocorrelation or dispersal. If the values of Geary’s C are low it indicates positive spatial autocorrelation and if the values are high it indicates negative spatial autocorrelation. The calculation is similar to Moran’s I but here the…

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    CHAPTER IV RESULTS AND DISCUSSION Table 1: Relationship between Achievement Motivation and Aggression among Inter Collegiate Hockey Players Variable N M SD df r Achievement Motivation 100 26.28 5.72 98 -0.09 Vs. Aggression 11.15 2.58 rtab (98) = 0.19 It is apparent from the table 1 that obtained value of correlation coefficient (-0.09) is less than the tabulated value of correlation coefficient (0.19). It means there is no significant relationship found between…

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    The Vitruvian Man Experiment Sasha Trimmingham Partner: Carlos Cruz Class: Anatomy and Physiology Teacher: Ms.Grayek Problem: Measuring from the chin to the hairline of multiple subjects will not have the same results Hypothesis: If the bottom of the chin to the top of the head is measured it will be greater than one eighth of a person’s height. Materials • 10 face • 10 body • Meter stick • Ruler • Pen/marker • Paper • Tablet Procedure: 1. Gather all materials 2…

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    Statistical Analysis: Means and standard deviations were calculated for body composition (body fat), power (vertical jump, Broad jump, average power), speed (20M sprint), Lower limb strength (1RM Squat) and endurance (12min run) for each training group. A factorial repeated-measures ANOVA was used to examine significance between the independent variables of testing (pre- and post-) and groups (control and chest and hip deep) on the dependent variables. Statistical significancewas set a priori…

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