Possible maybe
IT PROVIDES DATA TO SUPPORT STUDENT COUNSELLING
* You have to live in a state that allows minors to become emancipated. * The primary requirement that is almost universal is that the minor must show they have the financial ability to support themselves in a safe manner.
Technical vs. fundamental analysisThe primary difference can be summed up in terms of both the underlying philosophy, and the data studied. Fundemental analysis is concerned chiefly with discovering asset values. The data relied upon includes off exchange sources such as balance sheets, income statements and supply and demand statistics.Technical analysis on the other hand, is concerned chiefly with the timing of buy and sell decisions. The data studied is generated exclusively by the exchanges.Where does investor sentiment fall within these two definitions? If the sentiment data is derived from options data, then it would fit the definition of technical analysis. If on the other hand the data was generated by opinion polls, then it would not fit the definition of technical analysis. Nor would it be considered fundamental analysis either. It would more properly and simply be defined as "sentiment analysis."While there is some debate over whether off-exchange data (e.g. astrological data, dividends, opinion polls, etc.) properly belong under the definition of technical analysis, none of the main organizing bodies for technical analysis have ever rendered an official, public opinion on this question.According to noted technical analyst Daniel Chesler, CMT --"Technical analysis is the forecasting of markets through the study and analysis of data generated exclusively from the buying and selling of financial instruments. It is part science and part formalization of trader intuition and experience. Any market for which there is a regular, transparent transaction history is a candidate for technical analysis. Planetary cycles, opinion polls, fundamental, monetary and economic data as well as any data not specifically generated from the buying and selling process, are not a part of orthodox technical analysis."
I've never heard of primary vs. secondary sources ofreading, but I can provide an answer on primary vs. secondary sources of data.A secondary source of data is data that was collected for a reason other than the task at hand. A good example is US Census data. Marketers might use census data as input into decisions. An example of application of this data is as follows. Suppose you want to distribute your product in the 5 most populated cities in the US. You could find this info from census data, and go about distributing your product in those 5 cities.A primary source of data is data that is collected specifically for the task at hand, often via a market research study. For example, if you wanted to know what features of your product are most valued to buyers, you would design a market research study (i.e. questionnaire) to find that out. At the end of your study, you'd have the data to answer your question.---Note that there is quite a trade in used data. There's nothing wrong in this, provided all the relevant information about things like the purpose and reliability and possible sources of distortion of the old data are taken into account.
Product Support Analysis (PSA) primarily employs techniques such as Reliability Centered Maintenance (RCM), Failure Modes and Effects Analysis (FMEA), and Maintainability Analysis. RCM focuses on optimizing maintenance strategies based on the reliability of components, while FMEA systematically identifies potential failure modes and their impacts. Additionally, Maintainability Analysis assesses how easily a product can be maintained, ensuring efficient support throughout its lifecycle. Together, these techniques help enhance product reliability and reduce lifecycle costs.
Job descriptions and job specifications
The value chain analysis
The primary consumer of this product is typically the target audience or demographic that the product is designed for.
To write a primary source analysis, start by examining the source's authorship, date, and context. Analyze the source's intended audience, purpose, and bias. Consider the source's reliability and significance in relation to your research topic, providing specific examples and evidence to support your analysis. Conclude by reflecting on how the source contributes to your understanding of the subject.
Ancillary services are supportive services or products that accompany a primary product or service. These services often enhance the value or functionality of the primary product, providing additional benefits to customers. Examples include maintenance, customer support, and training services offered alongside a main product.
The product of the oxidation of a primary alcohol is a carboxylic acid.
Nikes primary product is the shoe
Meta analysis is a type of secondary research, in which primary research is again analyzed
a product whose sale is dependent upon the sale of a primary product
Plastic is considered a primary product, as it is derived from raw materials such as oil or natural gas through a manufacturing process. Secondary products refer to items that are made from primary products through further processing or refinement.
discuss objective and limitation of time series analysis