Inferential Statistics Term Paper Example | Topics and Well Written Essays - 500 words

Inferential Statistics - Term Paper Example d without the need for pre-determined questions; or, it could also be an interview of a participant who is allowed to freely express himself or herself on a wide range of topics sans specific questions. A researcher selects a research method according to whether the objective is to identify a certain type of information that is gathered before the onset of the study, or whether participants will be the source of that information. In addition to this, data may also be in the form of numerical information that is collected using scales of instruments documenting and reporting the participants’ voices. Sometimes, both quantitative and qualitative information are gathered. Instrument data could be reinforced by responses to open-ended questions, or census data may be supported by exploratory yet in-depth interviews. In carrying out research, I will begin by indentifying the questionnaire that will be administered during the interview. After the questionnaire has been prepared, the sample population will be selected. A series of interviews will be conducted. Each participant in the research will be given a questionnaire to fill. The research questioner will be structured in a manner that does not offend the participant of the research. Only the qualitative design is appropriate for this, particularly with the use of Grounded Theory, because this phenomenon has not been much explored. The quantitative method will not be effective for this because of the possibility that significant and relevant phenomena may be overlooked because of the focus on theory and hypothesis testing. Moreover, the knowledge generated from the quantitative method could be too abstract to be applicable to the target population. Meanwhile, the mixed methods will not be effective also since this will be too challenging for a single researcher. b) Unbiased estimator is when the parameters used in estimation have a mean equal to the true mean. Unbiased statistic will sometimes fall above the