Since our ratio of carnations to daisies is 2:1, an equivalent ratio to that would be 50:25. This would mean for every 50 carnations, we would have 12 roses and 25 daisies. With this information we were able to conclude our rose to daisy ratio is 12:25. Again, we are not able to simplify this ratio because the only common factor between 12 and 25 is 1. Below is table 1.7 showing more equivalent rose to daisy
The % RSD values were calculated. Interday precision: The Interday precision this method was checked by injecting six different preparations of proposed sample weight (100%) on next day of method precision. The % RSD values were calculated. Accuracy: Reliability and accuracy of the methods were studied based on recovery studies. Analysis was carried in three replicates with the spiking standard ascorbic acid (99.9% purity) concentration of 0.02 mg/ml at the levels of 50%, 100%, and 150%.
Once calculated they can be added to determine the total deviation of the face. The total deviation only takes into account the absolute values. Deviations of Face Measurements from the Golden Ratio Proportions Subject 1 Subject 2 Subject 3 Subject 4 Subject 5 Vertical Deviation - 0.482 - 0.473 0.0508 - 0.058 - 0.582 Transverse Deviation 0.0004 0.275 - 0.0106 0.418 0.512 External Deviation - 0.0282 0.418 0.218 0.329 0.299 Total Deviation 0.511 1.166 0.279 0.805 1.393 Then the survey has to be administered. Below is a survey taken from fifty students at Lyford Cay International School. Ratings 1 2 3 4 5 6 7 8 9 10 Subject 1 14 31 5 Subject 2 4 54 2 Subject 3 38 12 Subject 4 32 18 Subject 5 45 3
Results & Discussions: SPSS version 20 was used to examine the accuracy, missing values, fit between their distributions and the assumption of multivariate analysis. A series of exploratory factor analyses (EFA) was performed. A series of confirmatory factor analyses (CFA) was then conducted on the data from the surveys to validate the findings from the EFA. Out of 45 Statements ten statements were removed due to model fit requirements. Hence 35 statements forming seven measurement models were retained for the final model.
Total RNA extraction was done from 100 mg of scrapped tissue samples by using Tri reagent (Sigma Aldrich, TRI Reagent BD® Cat # T9424) following manufacture’s protocol. cDNAs were synthesized using Transcriptor First Strand cDNA Synthesis Kit (Thermo Scientific, Cat# K1621) following manufacture’s protocol.The relative expression of MUC2 gene was determined by SYBR green based qPCR experiment in 96 well format. The qPCR primer sequences of MUC2 and endogenous control gene (GAPDH) (Table 2), were designed using Primer 3 web tool (http://primer3.ut.ee/), synthesized from a local supplier (Xcelaris Labs Pvt Ltd, Ahmedabad, India). The primer efficiency of each genes were determined by 5 fold dilution of cDNA (50, 10, 2 and 0.4 ng). In brief, the PCR amplification of endogenous control and the test genes were performed in triplicate 10µL reaction mixtures contained 10ng cDNA, 0.5µLof 2.5µM each forward and reverse primers, 5µLof 2XFaststart SYBR Green master mix (Roche,Cat.
However, compared to cross section data, I have 10 years of time span, 222 industries and 6 emerging and 6 developed countries in my panel data set. I run my panel regressions for two groups of countries so that I can tease out the effect of ISO 9001 certifications on the pattern of trade separately for emerging and developed countries. I am also interested in the same interaction terms as in the cross section analysis. Those are interaction term contract intensity with rule of law indicator and ISO9001, respectively. The interpretation of interaction terms is identical to the ones in the cross section analysis.
We split our sample into an estimation sample with 1000 households. The remaining 612 households were used to validate the models and to evaluate the estimation performance. 4.3 Estimation of Purchases The estimation results for behavior at the lowest level of aggregation, the purchases of each insurance type, are presented in Table 2. All functions are significant (p<0.10). We do not report the parameter estimates for the models, but the general conclusion is that socio-demographic variables as well as purchase data from the CIF serve as estimators for ownership.
Our study will utilize a quantitative approach to determine the significant predictors, as well as the best predictor of marital satisfaction among married Filipino couples. Because of the objectives of the study, the design that we will be using would be a cross-sectional survey design. This is due to the intention of administering the survey to the participants only once at a specific time point instead of administering the survey multiple times across time. The predictors to be examined are emotional intelligence, interpersonal communication, and work-family conflict, while marital satisfaction will be the criterion variable. Different scales and measures will be used in order to determine the level of the participants in the different predictors.
(www.censunindia.gov.in), and the censuses after that took place at the interval of 10 years. Now let us know the main function of this census. It gives demographic information, such as total count of population and its breakdown into groups and subgroups such as age and sex distribution. To calculate important statistical rates, and other