Sample size

Why do you get different fragment sizes if you cut the DNA from two different species with the same restriction enzyme? Each species has a different arrangement of bases, and the restriction enzyme only cuts after a specific order of bases. Due to that being the case, the specific order of bases won’t be in the same exact spot for each species, so the DNA will be cut in different places. The DNA being cut in different places result with different fragment sizes. b. Why do different…

In the study conducted by Ng et al they looked into previous studies to see how depression was assessed in juvenile youth who were incarcerated. In Shook, (2005) they discovered that in the 1980’s and 1990’s the trend of getting tough was consistent in almost every state and in Shook and Sarri (2008) there was an increase in the number of juvenile youths who ha committed less serious offences that were sentenced to adult prisons. Washburn et al (2008) compared depression among youths who were…

1.0 REFERENCES 1.1 Sample Preparation and Calculations for Dissolved Gas Analysis in Water Samples Using a GC Headspace Equilibration Technique, EPA National Risk Management Research Laboratory, RSKSOP-175, Rev.2, May 2004. 1.2 Light Hydrocarbons in Aqueous Samples via Headspace and Gas Chromatography with Flame Ionization Detection (GC/FID), Pennsylvania Department of Environmental Protection Bureau of Laboratories, PA-DEP 3686, Rev.0, April 2012. 1.3 Lange’s Handbook of Chemistry, 14th edition…

honey and beeswax value chain analysis sample respondents in Adwa and Ahferom districts. Demographic characteristics included for farmers, traders and tej makers. The results presented and discussed entirely to the sampled households. 4.1.1. Demographic and socio-economic characteristics of farmers Age - The average age of the respondent was 50.5 (±10) years. The average age of beekeepers and non beekeepers was 47.5 (±9.5) and 54 (±9.6) years. An independent sample t-test was conducted to…

These samples were mixed with primers and probes and the resulted data were used to create calibration curves with different known concentrations. The serum samples detected two viruses; the Dengue fever and Chikungunya. The results from the test were negative, which indicates that there was no cross reactivity between the two viruses and the Zika virus. Four out of the six patient’s serum samples tested positive for the virus and two tested positive from the urine samples. However, urine sample…

have a sample of 189 women and a variable that represents the women’s ages. Moreover, the values range from 14-49, which are listed as the lower limits and upper limits. Furthermore, According to Mirabella (2011, p. 1-5) states, “That each row has consistent widths to prevent from the data being deceiving.” Therefore, after the ranges are established the frequency column should total the number of observations, when added together. Relative Frequency computes the percentages of the sample…

depending on the solubility of it in a given solvent. When the sample contains…

the university, and individuals who do not attend the university. All of these individuals, and more, were excluded from the sample and, thus, cannot be generalized by the results of this investigation. Even though the sample size utilized was small, there is an indication that religious affiliation does not affect a person’s attractiveness. For this reason, a larger sample size may not cause the results to show a significant effect of religious affiliation on attractiveness. Now, in contrast,…

the same size as that of the resting platelets and they are assumed not to be activated. Whereas, the platelets in population 2 (P2) area tend to be bigger. It is assumed that they are activated. As more agonists are added, the percentage of larger platelets increases. Such is likely to arise because as the platelets grow bigger, the more they scatter forward and sideways. In a graph showing change in size, it is possible for flow cytometer to detect a shift that takes place in the size of the…

independent samples t-test were not all what we had expected to see being that extroverts and introverts are essentially opposite personality types and thus a large variance in there helping behavior was expected. There are some limitations that may have affected the conclusion such as our small sample size and its lack of representation of the actual undergraduate student body at Texas A&M. There was an unequal distribution of each personality type and classification within the sample. The…