Statistical significance

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…

Taguchi L27 orthogonal array to predict surface roughness also S/N ratio and optimum parametric condition were analysed. He found that feed is most influencing parameter for surface roughness followed by cutting speed whereas depth of cut has least significance on surface response.…

experiments? State the null and alternative hypothesis. Choose the statistical test based on the type of predictor and outcome variables. Choose an appropriate effect size. Set type 1 (alpha) and type 2 (beta) error. Use the appropriate table to to look for the corresponding sample size. Basic Concepts Hypotheses: Null and Alternative hypotheses People often look into statistical relationship through the test of significance. It is a procedure by which clinicians collect information and see…

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…

1. a. The data set consist of 44 female and 53 males. b. There are 21 people under the age range of 13-35, which account for 21.6% of the total 97 in the sample. c. The mean level of the hour spent in the office during week 2 is 47.47 hours, with the standard deviation of 17.06. The distribution is slightly negative skew (-0.237), although in an acceptable range suggest that slightly more samples spend more hours in office than the average. The distribution’s value for kurtosis (-1.005)…

Observation is a process of observing or monitoring through noting or recording people or specific situations (Palaiologou, 2013). Observation is a method widely used in most if not all early-years settings by practitioners to collect evidence or track a child’s learning journey. It is also used to inform planning. Roberts – Holmes (2011) acknowledges the expectation of Early Years professional’s use of observations set by the Early Years Foundation Stage. Observation is also a key method used…

survey methodologies used, which are population studies and sampling. Both methods can provide meaningful as well as accurate data, but noticeable limitations can be encountered as well as advantages gained from these methods. Thus, in classic statistical usages, populations are generally enormous; therefore, when the budget and human resources have limitations, and time is of the essence, sampling becomes a viable option. Moreover, the reasoning behind this statement is that for most purposes…

As a planner while making a comprehensive plan for it is of utmost importance that plan is to be prepared according to the requirements and needs of the area. The primary concern is to provide and develop such a plan which people of that area will acknowledge and accept it. Thus over the time authorities have been trying to put emphasis on public participation as a major component for planning process. This participation comes in various forms, out of which the surveys and community meetings…

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.…

My PRPSA anxiety score is 98 and my anxiety rating is moderate. Females in California average score was 105.7 and their anxiety rating was moderate. The responders was 1074 woman. Males in California average score was 101.92 and the anxiety rating was moderate. The responders was 772 men. Both males and females in California average score was 104.15 and the anxiety rating was moderate. Looking at my scores compare to others in California my score of 98 is below the average. I would say I did…