Statistics Essay

In order to examine the data, we utilized SPSS statistical software and conducted a regression analysis of the direct variables of Organizational Citizenship Behavior, Work and Well-being, and Job Satisfaction against the constant independent variable, Frequency of Supervisor Feedback. We used regression analysis because it allowed us to discern any causal relationships between our dependent variables and one constant variable that might support or reject our hypotheses. We were looking for…

The goal of this experiment was to determine whether is there a significant difference in stomatal densities between young and old leaves or no. The stomatal density of young and old leaves has not significantly different densities. The age of the leaf does not аffect and do not correlate with stomatal density. Because, when the leaf is a baby leaf it makes all the stomata and as leaf growth it just pulls apart from each other. Stomata has an essential rоle in all plаnts. Stomata helps to…

In this project, I will analyze the problem of gender inequality in terms of labor income. This problem is important in our society because people with same background and same experience should be treated the same in the same working environment. Women should not be judged based on their biological gender. The data sample used in this project is working individuals between ages 25 and 54 from Current Population Survey, 2012. Sample size contains 999 observations. I will first discuss the…

A within subject’s experimental design, compared the perceived differences in length of different sized paperclips on different body parts. The perceived distance of the paperclips, were rated on a scale of 0 to 2; zero meaning equal, one meaning shorter and two meaning longer. There were three conditions; the Finger-Wrist condition, the Finger-Forearm condition, and the Wrist-Forearm condition. 20-psychology students participated in the study. All 20 participants participated in all three…

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…

Table 4.2 System suitability results for Lamivudine, Zidovudine and Nevirapine Parameters Lamivudine Zidovudine Nevirapine Retention time 2.327 2.864 5.608 Area 212473 338930 228426 USP Plate count 2715.09 3350.07 4979.51 USP Tailing 1.38 1.32 1.18 4.3.1.2 Linearity A linear correlation coefficient factor was obtained between the concentrations of Lamivudine, Zidovudine and Nevirapine versus the peak area. The calibration curves were linear for concentrations between 15-150 µg/mL. The linearity…

Assignment 7 1. The correlations between the performance in the Shot Put event and the nine other events of the decathlon ranged from r(107) = .042 to .789. The two strongest correlates of the performance in the Shot Put event were the performance in the Discus Throw event, r(107) = .79, p <.001, and the 100m Dash event, r(107) = .50, p < .001. The effect size of the correlations between the performance score in the Shot Put and these two decathlon events are large, which suggests that…

I. Introduction A special program was designed to improve knowledge, attitudes, and practice (KAP) regarding nutrition. The control group was comprised of a sample of 10 males who received the standard nutrition education program. The experimental group consisted of a sample of 10 males who received the KAP nutrition education program. For each program, the participants received 45 minutes of instruction twice a week for 15 weeks. All participants completed a pre-test and post-test to assess…

• Macro and Micromorphology Analysis Colony diameters after 7 days at 25°C were as follows: CYA: 70-77 mm, MEA: 56-60 mm, YESA: 69-79 mm, OAT: 42-45 mm, CREA: 3-4 mm and CYA + 5% NaCl: no growth. On CYA at 10ºC conidia germinate, at 15ºC, 20ºC and 30ºC growth is evident with colony diameters of 9-17 mm, 59-71 mm and 56-86 mm, respectively. The species does not grow on CYA at 37ºC and 42ºC while at 33ºC the colony diameters varies from 0 to 22 mm, indicating that at this temperature the growth…

Chapter 5 RESULTS AND DISCUSSION 5.1 Compression Test The compression test results for Granite epoxy specimens is documented and listed in Table 5.1. Table 5.1 Compression Test results for Granite Epoxy Specimens Figure 5.1 shows the compressive strength plot of granite epoxy composite specimens without the inclusion of filler material. From the graph, it is observed that the compressive strength of the fabricated specimen’s increases up to 70% granite content and further decreases with the…