Statistical power

measures of associations refers to the statistical strength of the relationship between the variables of interest. This can be described in numerous ways; this also depends on the analysis. This is concerned with how each variable is related to other similar variables. This association is based on the strength of the linear relationship in the degree of monotonicity. To the degree that it is based on counting various pairs in a relationship. Known as a statistical tool that investigates…

Proficiency was measured on a Likert scale from (1-7), and comprehensibility was comprised of five 7-point bipolar scale. 7. Describe the statistical tests that the researcher(s) used to analyze the data he/she/they collected. Identify which test was used for which question/hypothesis. Ignore procedures that are not related to the question/hypothesis Statistical test that were used: a. Standardized coefficient Beta b.…

(2015). Module 8 – Sampling and Statistical Inference [Critical Thinking file named abuse.xls]. In MTH410 – Quantitative business analysis. Greenwood Village, CO; Author Table 6 Hypothesis Test – p-value approach to determine proportion of all Rocky University students who answered NO to participating in any type of substance abuse. Note: Data was compiled from Colorado State University - Global Campus. (2015). Module 8 – Sampling and Statistical Inference [Critical Thinking file named…

Q3. If the second clerk could be added anywhere you choose (and not necessarily to check for violations, as in Question 2), what is the maximum number of applications the process can handle? What is the new configuration? Approach: Analyzed the question, we added one more clerk in step 2 (process and record payment). Then use the formula as question 1 and 2 to calculate. Figure 3.1 Solution: When add the second clerk in step 2, then solve and record payments. We could see the above pictures, 2…

In this study, 31 physicians in the age of 26 to 56 were studied. The average age of them was 41.68 ± 7.26 years. The majority (87.1%) of them were male. Most of them (64.5%) were working in 2 shifts. Table 1 represents the frequency distribution of demographic characteristics and some context variables of respondents. According to results, all of the physicians were General Practitioner. The career years were between 1 and 20 years with the average ± SD career was 9.55 ± 5.63 years. Covered…

. From table 6.7, it is observed that the Chi-square statistic is 104.089. Since P value is less than 0.01, the null hypothesis is rejected at 1 percent level of significance. Hence, concluded that there is association between stages at diagnosed as a kidney disease and cost factors in thousands of kidney patients. Based on the row percentage, Stage diagnosed as a kidney patients upto stage III, 6.0 patients are below 50000, 54.0% are 50000-100000, 26.0% are 100000-500000, 6.0% are…

In order to successfully understand minority influence were interested in finding research that determines how those individuals or minority groups who firmly uphold their own deviant or marginal standpoint can have an impact on the belief systems and behavior patterns of other individuals. Research on minority influence is of recent origin. Most research about social influence in particular, were based and entirely focused on conformity, on the way a group affects individuals and brings about…

Where\\ \textit{A} denotes attenuation of the incident light,\\ \textit{$\alpha $} denotes the wavelength of the incident light,\\ \textit{C} denotes the concentration of the absorber,\\ \textit{d} denotes the geometrical pathlength,\\ \textit{B} denotes the pathlength correction factor and\\ \textit{G} is the additive term for scattering losses \begin{minipage}{\columnwidth} \centering \includegraphics [width=0.75\textwidth] {figures/mbl.png} \captionof{figure}{The modified Beer-Lambert law…

During my investigation into the patch connections design, I utilized the butterfly simulation model. I used the simulation model to test the sensitivity of the three different patch connections (enlargement, Corridors, and stepping stones) when the death probability (NP) was adjusted up or down. The simulation demonstrated, through many runs, how the population of Fenders blue butterflies would react within the different types of patches with different death rates outside the patches. As I…

Motility and flagellar length were compared in Chlamydomonas reinhardtii before and after deflagellation. The Chlamydomonas were deflagellated by a low pH shock and were observed for flagellar regeneration in 10 minute intervals for 50 minutes. We found the average number of cells that were motile after 50 minutes of flagellar regeneration was 43.80 cells. The difference in motility before deflagellation and after flagellar regeneration was due to flagellar length. Less motility was observed in…