"why is it-or why is it not-worth recommending?"
by: Anthony ballou
okay i see your problem it is possible that question can answers them self but it always does not answers the question. does that answers your question
Yes, yes or no questions can be a good starting point for essays as they help focus the writer's attention and prompt critical thinking. However, to develop a comprehensive essay, it is essential to expand on the initial question, provide context, and support arguments with evidence and analysis.
Questions that start with has/is/are/have/do are called yes/no questions. They can be answered with a yes or a no. Compared to questions with a question word eg where how why, which cannot be answered with just a yes or no. The linguistic term for a yes/no question is a "polar question", this contrasts with the 5-W and How questions which are called "interrogative questions".
Yes, a research essay question should be open-ended to allow for multiple perspectives and interpretations. This helps to encourage critical thinking and thorough exploration of the topic. Avoiding closed-ended questions can lead to a more in-depth analysis and discussion in the essay.
Knowledge issues are questions or problems that arise when analyzing knowledge claims. They challenge our understanding of how we know what we claim to know, and encourage critical thinking about the limitations and implications of knowledge production and dissemination. Addressing knowledge issues is a key aspect of the Theory of Knowledge course in the IB curriculum.
No, recommending a question or a user does not give you contribution points.
Recommending questions determines how popular that specific question is. Click the "recommend question" button if you think that question is interesting. It is mostly a popularity ranking for questions around the site. See the related link for more information.
In question analysis, you ask yourself questions like: What is the main objective of the assignment? What is the purpose of the task? What are the key components or criteria for success? By answering these questions, you can better understand the requirements and expectations of the assignment.
An analyzing question is a question that requires critical thinking and evaluation of information. It prompts the recipient to examine, interpret, and draw conclusions based on the data or content provided. These questions often delve deeper into the subject matter to understand its complexities and implications.
When analyzing an assignment, key questions to consider include: What are the main objectives and requirements of the task? Who is the intended audience, and what format or structure is expected? Are there specific guidelines, deadlines, or resources provided? Lastly, what prior knowledge or context is necessary to effectively complete the assignment?
No, it does not.
hi
You can thank people at wikianswers by either recommending them because they have answered your question or any other questions. Or you can also leave a message on that person's message board and thank him/her personally.
closed-ended questions are questions that that encourage a simple answer such as "yes" or "no"
WikiAnswers is set up to recognize duplicate questions, but if there's even one word different, both questions will appear. A WikiAnswers Supervisor will usually catch this and combine the answers, eventually.
The six stages of the scientific inquiry process typically include: Observation: Identifying a phenomenon or problem to investigate. Questioning: Formulating questions based on observations to guide the inquiry. Hypothesis: Developing a testable explanation or prediction related to the question. Experimentation: Conducting experiments to test the hypothesis and gather data. Analysis: Analyzing the data collected to determine whether it supports or refutes the hypothesis. Conclusion: Drawing conclusions based on the analysis and communicating the findings, which may lead to further questions and investigations.
The seven steps of the scientific method are: Observation: Noticing and describing phenomena that prompt questions. Question: Formulating a specific question based on observations. Hypothesis: Proposing a testable explanation or prediction. Experiment: Designing and conducting experiments to test the hypothesis. Analysis: Collecting and analyzing data from the experiments to determine results. Conclusion: Drawing conclusions based on the data analysis, confirming or refuting the hypothesis. Communication: Sharing results and findings with others for peer review and further investigation.