Green Tax on Consumers Experiment

this study is the use of convenience sampling, as previously mentioned. Black et al. (2000) make

According to Schutt (2008), sampling is defined as a subset of population used in a study to be a representation of the population as a whole. My final project is a pre-hire assessment which analyzes potential risky pattern behaviors and emotions in the work place. One of the most important considerations related to sampling that will need to be addressed in my final project is defining the population that will be taking the assessment.

Probability sampling, also known as random sampling, requires that every member of the study population have an equal opportunity to be chosen as a study subject. For each member of the population to have an equal opportunity to be chosen, the sampling method must select members randomly. Probability sampling allows every facet of the study population to be represented without researcher bias. Four common sampling designs have been developed for selection of a random sample: simple random sampling, stratified random sampling, cluster sampling, and systematic sampling (Burns & Grove,

In terms of choosing my sampling method, I chose quota sampling. This is because we chose to survey 30 people in total but divide the group into genders; males and females. Therefore; 15 males and 15 females were surveyed. This was an important sampling method to choose because it was quite accurate. It was less biased as we decided to interview both genders, leading to varied results for our market research team. We also chose to have quota sampling, because it was the most efficient sampling method which gave us the most accurate information we set out to find. I feel it was important to have more than one division; that being males and females. This is purely because males and females have much diverse views and opinions and also priorities such as; males being more interested in booking rooms and assessing the online services, where the females would also enjoy the online services, but would show more interest in the facilities available, therefore it was quite key to find out how each gender progressed through the surveys. I feel that quota sampling is much more accurate than other sampling methods such as random sampling. This is because random sampling will leave the researchers with a range of results, which will be harder to compare or formulate decisions

There are various methods of collecting data such that the information collected can be used to draw inferences about the target population. The sales forecast is the key component for the problem statement and for accuracy it is important to know what consumers prefer over Best Buy. Participation in business surveys is usually voluntary and the quality of the results depends crucially on the willingness of enterprises to co-operate. A promising approach to getting high response rates is to make compliance as painless as possible

No other research method can provide this broad capability, which ensures a more accurate sample to gather targeted results in which to draw conclusions and make important decisions. Data collection is much easier with surveys which tend to use easy to read data sources that can be compiled and analyzed as needed for market research needs. Again, the anonymity of surveys allows respondents to answer with more candid and valid answers. To get the most accurate data, one needs respondents to be as open and honest as possible with their answers.

In order to estimate the percentage of defects in a recent manufacturing batch, a quality control manager at Intel selected every 8th chip that comes off the assembly line starting with the 3rd, until she obtains a sample of 140 chips.

The convenience sampling method will be most appropriate for Bank of America’s research as it will save time and money. The goal of the sample is to find what is most important to customers and if they would be willing to pay increased fees. Bank of America will have access to every one of their customers by way of banking or ATMs. Surveys can be assigned to ATMs, or handed out at Bank of America locations as customers arrive for their day-to-day banking needs. These samplings will be random. Probability sampling, based on random selection, ensures each population element is a known nonzero chance of selection. This provides estimations of precision and offers an opportunity for generalized findings to the population of interest from the sample population. Thus Bank of America can both conveniently and randomly survey customers. In addition to improving the validity of the sample, convenient randomized sampling promotes good

C) What type of sampling method (name the method and define it) would you use to collect data to answer your question, and why?

When researchers select participants from several different parts of the population, they are selecting a

When conducting a study, it is impossible to collect data from the whole population, therefore it is important to select a representative sample because sampling makes it possible to select a representative for study and discover things that apply to many more people who are not studies (Maxfield & Babbie, 2012). The purpose of sampling is to generate a set of individuals or other entitles that give us a valid picture of all such individual or other entitles. It is important to generalise from a sample to unobserved population the sample in intended to represent. Therefore, when selecting a group of subjects for study, it is important to ensure that we represent some larger population.

For practical reasons, variables are observed to collect data. The sampled data is then analyzed to elicit information for decision making in business and indeed in all human endeavors. However, sampled information is incomplete and not free from sampling error. Its use in decision-making processes introduces an element of chance. Therefore, it is important for a decision-maker to know the amount of chance associated with a statistical decision of it being wrong. To quantify the amount of chance due to sampling error, basic probability concepts are indispensable via modeling sampled populations and testing of research

Sample size is typically small and more open ended. Interviews, in­home ethnographies, and focus groups are used to explore consumer and understand consumer behavior. Skilled administrators are more likely to carry out quantitative research due to its complex and objective nature.

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 ultimate goal is to learn about a large population by surveying a sample of that population.