Relationship Between Sampling Area, Sampling Size Vs Precision, And Application Of Analysis

allows for participants that are more willing to adhere to the study, and therefore may impact the

According to Acharya, Prakash, Saxena, and Nigam (2013), sampling designs are classified into two categories: probability sample and non-probability sample. Probability sampling aids in the generalizability of the results because individuals in the population have an equal chance of being selected to participate in the study (Acharya et al., 2013). With the non-probability sampling method, every individual does not have the same chances of being included (Frankfort-Nachmias, & Nachmias,

Precision: I will need to Intensify my precision to include the relevant data in each paragraph such as “accurate descriptions and explanations,” to ensure that I have enough information to fill the length requirements of the assignment and that I have accurately written the paper grammatical and punctually.

Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented?

The removal method of Ringed Crayfish data collection was over a sample site area of 50m2 at Pearson Creek, a stream, containing a density of 5.18 crayfish/m2. The sample site was collected in 5m in width by 10m in height with wet, rocky, and grassy conditions. The data collection incorporated five different samples of the number of crayfish removed from the stream each time (Figure 1). Sample one caught 53 Ringed Crayfish with 0 crayfish caught prior. Sample two caught 37 Ringed Crayfish with 53 crayfish caught prior. Sample three caught 42 Ringed Crayfish with 90 crayfish caught prior. Sample four caught 26 Ringed Crayfish with 132 crayfish caught prior. Sample five caught 18 Ringed Crayfish with 158 crayfish caught prior. What was caught in the previous sample was added into the total amount of crayfish caught prior. A negative linear relationship is displayed by data collected in Figure

One of the famous instances is overfishing of holothurians that occurred in the 1980s. Holothurian is a precious marine creature which is also known as sea cucumber or bêche-de-mer. It began with Macassan fishers, who fished holothurian before twentieth century, leaving centuries-old tradition of trepang fishing in the Great Barrier Reef areas, where black teatfish is the main targeted species. Because of the increasing need for sea cucumber in East and Southeast Asia, where holothurian is regarded as a delicacy, abundant amount of black teatfish are harvested from the Great Barrier Reef and the Coral Sea each year, “with a harvesting peak of 2.3 million pounds in 1989” (Benzie and Uthicke 59). One outstanding characteristic of holothurian

Assuming the abalone data from which this sample was drawn were randomly selected, we can be 95% confident that the true value of the population proportion is within the below confidence internals (Table 2.1).

The coast line of India is around 7516 km long, spanning across 9 States, 2 Union and 2 Island territories. Out of the total length of Indian coast line, West Bengal coast line occupies a length of around 220 km and Odisha has a length of around 480 km. The coastal zone of these two states has diverse types of fisheries and the local community and island dwellers greatly depend on the fishery resources of the state. There are several fish landing stations in West Bengal and Odisha, where the data on fish diversity and landing quantum are available. It has been observed that the diversity is gradually decreasing in both the maritime states and a compositional variation is also observed.

An example of population can be a bowl containing 500 balls of which or it can be 8,000,000 patients. The method of random selection remains same for both kinds of populations. However, the sample size can differ. While doing random sample the large population can be contracted into subsets such as categorizing patients by the name of their hospitals, making a list of those hospitals, assigning numbers in sequence to each of them, figuring out the sample size. A random number generator can also be used to decide the sample size, for e.g. 50 out of 500.

Samples size of this study was chosen on the basis of practical considerations rather than statistical estimation. However, according to our experience, the calculated sample size will most likely allow to detect large differences (if any) in parameters (> 50%) between the treatments groups.

Red king crabs were collected for stomach analysis and abundance estimates by using a specially designed beam trawl, previously used in surveys for stock assessment by the Institute of Marine Research (IMR). The crab trawl is 6 m wide, 1 m high, and is equipped with a 135 mm mesh size polyethylene net (Sundet & Berenboim 2008). The hauling speed was approximately 1.65 kn. It was not possible to use a fixed standardized trawling distance because of the changing and rocky bottom topography. Four hauls were also performed with a shrimp bottom trawl in 2005, to catch fish for stomach analysis for another study not included in this paper. However, as red king crabs were caught during four of these hauls (Table 3), stomach analysis of these crabs

b. Sample selection techniques and control of constant variables (e.g. Are samples randomly selected. What attempts are made to control variables).

According to Hair et al. (2003), in the research, the sampling process enables identifying, developing and understanding an interested object that need to be determined (p.333). Hence, in order for the researcher to carry out the sampling appropriately, advantages and disadvantages of the various sampling methods should be considered along with the theoretical component of the study (Hair et al. 2003, p. 368 f). Theoretically, the sampling procedure is divided into two major types which consist of probability and nonprobability sampling. In probability sampling, individuals have a known chance of being selected. While, in non-probability sampling, individuals do not have a known possibility to be selected (Sekaran 2003, p. 269 f). Also, the different sampling methods provide different advantages and disadvantages. Hence, the researcher should consider this point before choosing the sampling method for the

The project aim at teenagers, therefore sample group is between 13 to 19. I will set the sample sizes in 50 participants since it is easy to identity and more precision. If a sample sizes increase, it is very hard to estimate and become not accurate. Also, I’m worry about the extremes data can’t make a balance out, so the project prefers small sample sizes. It can take less effort to gain and maintain people, it is easy to produce significant results and comfortable to find a group of people. I will obtain samples from friends or friends’ sister and brother.

In future studies, the sample should be drawn from more than one university, and that a larger sample size should be used as well.