Briefly explain the following components in line with research projecti Prototypeii Research Proposal iii Research concept2 With relevant examples explain the differences betweenPrimary research and secondary researchQualitative research and Quantitative research

i) Prototype: A prototype in a research project is a preliminary model of your solution or idea. It is a tangible, interactive representation of your design, created to test whether it works as expected. For example, if you're researching a new type of solar panel, you might build a small-scale version to test its efficiency.

ii) Research Proposal: A research proposal is a document that outlines the details of your proposed research project. It includes the research question, the methodology you plan to use, the resources you'll need, and a timeline for completion. For example, if you're planning to research the effects of a new teaching method, your proposal would include details about the schools and students you plan to study, the tests you'll use to measure success, and how long you expect the project to take.

iii) Research Concept: A research concept is the initial idea or question that drives your research. It's the problem you want to solve or the question you want to answer. For example, if you're a psychologist, your research concept might be "How does childhood trauma affect adult relationships?"

2. Primary vs Secondary Research: Primary research involves collecting new data directly from the source. This could be through surveys, interviews, or experiments. For example, if you're studying consumer behavior, you might conduct a survey to gather data about shopping habits. Secondary research, on the other hand, involves using data that has already been collected by someone else. This could be census data, research articles, or industry reports. For example, you might use data from a government report to study trends in unemployment.

Qualitative vs Quantitative Research: Qualitative research focuses on understanding the why and how of behavior, often through methods like interviews and observation. For example, if you're studying why people choose to live in certain neighborhoods, you might conduct in-depth interviews with residents. Quantitative research, on the other hand, focuses on collecting numerical data and using statistical methods to analyze it. For example, you might conduct a survey to find out how many people live in different types of neighborhoods and use statistical analysis to identify trends.