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What else can I help you with?
What are the reasons for choosing random sampling method for ones research work and what is random sampling method anyway?
because it is the simplest sampling technique which requires less time and cost.
What is the purpose of a residual analysis in simple linear regression?
One of the main reasons for doing so is to check that the assumptions of the errors being independent and identically distributed is true. If that is not the case then the simple linear regression is not an appropriate model.
What tools are more easy to use for interactive data analysis?
Many tools can do interactive data analysis. I can list some: R, Matlab, esProc, SAS, SPSS, Excel, and SQL,etc. But for easy to use, esProc is the best. I can list you some reasons. SQL is the most widely used structured data query and analysis language. Tts syntax is close to that natural language and easy for programmers to learn. But not easy for analysts without high technical background. Besides, it can't make three-like step by step computing. Excel is liked by many people due to its convenience. But for complex data computing and analysis, Excel is not great enough. R is good for its agile syntax but requires strong technical background. Similar to R, Matlab also has good scalability but needs high strong technical background. SAS has powerful capabilities in chart plotting for in-depth applications but is still less friendly than other analysis software. SPSS has a powerful graphic user interface. But its syntax is fairly poor and is incapable for the free analysis other than the fixed algorithms. The menu-style interface is inconvenient for stepwise computation. esProc is a script with an expert in interactive analysis on structured data. It supports free data analysis, requiring relatively low degree of technical background. Its syntax is agile and easy-to-use. Excel-style interface makes it good for complex data processing and step by step computing. Also, it doesn't need pre-modeling. Only disadvantage is lacking of the fixed algorithm and functions specific to some industries, such as correlation analysis or regression analysis.
What is volunteer sampling?
This is another way of saying self selected sample. This sampling technique consists of participants becoming part of a study because they volunteer when asked or in response to an advert. This technique, like opportunity sampling, is useful as it is quick and relatively easy to do. It can also reach a wide variety of participants. However, the type of participants who volunteer may not be representative of the target population for a number of reasons. For example, they may be more obedient, more motivated to take part in studies and so on. Suppose, for example, that a news show asks viewers to participate in an on-line poll. This would be a voluntary sample. The sample is chosen by the viewers, not by the survey administrator.
What are three reasons that samples are used in statistics?
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What is the purpose of qualitative analysis?
The purpose of qualitative analysis is to understand the underlying reasons, motivations, and patterns in human behavior. It aims to provide a deeper insight into attitudes, beliefs, and emotions that quantitative data alone may not capture. Qualitative analysis helps researchers interpret complex data by identifying themes and trends.
What is the Statistical Cycle?
The cycle is used to carry out a statistical investigation. It has five stages to it: Problem, Plan, Data, Analysis and Conclusion. The problem section is about formulating a statistical question. what data to collect, who to collect it from and why is it important. The plan section is about how the data will be gathered. The data section is about how the data is managed and organised. The conclusion section is about answering the question in the problem section and giving reasons based on the analysis section.
Why do they call it quantitative data why not a number chart?
It is one of two main categories of data (quantitative and qualitative). These terms, have evolved for reasons of succinctness (brevity and clarity). This is why scientists say matter or material, instead of stuff.
What are the reasons to have an unknown problem?
There might not be a problem which makes you think there is one
The variable you want to test?
Plant height and yielding ability are quantitative variables and can be tested statistically as purely due to genetic or environmental reasons.
Qualitative data and quantitative data?
Quantitative researchIn the social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques. The objective of quantitative research is to develop and employ mathematical models, theories and/or hypotheses pertaining to phenomena.Qualitative researchQualitative research is a method of inquiry employed in many different academic disciplines, traditionally in the social sciences, but also in market research and further contexts. Qualitative researchers aim to gather an in-depth understanding of human behavior and the reasons that govern such behavior. The qualitative method investigates the why and how of decision making
What are the assumptions of qualitative and quantitative research?
Qualitative research is a field of inquiry that crosscuts disciplines and subject matters. It involves an in-depth understanding of human behavior and the reasons that govern human behavior. Unlike quantitative research, qualitative research relies on reasons behind various aspects of behavior. Simply put, it investigates the why and how of decision making, as compared to what, where, and when of quantitative research. Hence, the need is for smaller but focused samples rather than large random samples, which qualitative research categorizes data into patterns as the primary basis for organizing and reporting results. Qualitative researchers typically rely on four methods for gathering information: (1) participation in the setting, (2) direct observation, (3) in depth interviews, and (4) analysis of documents and materials .
Describe reasons for doing a dietary analysis and why its important to get a balance of nutrients in the diet?
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What are reasons a kids chest hurts?
Their heart has a problem
What is the main idea behind root cause analysis?
TO analyze the root cause of a problem is to focus on the actual origin of the issue instead of the trouble that the problem caused. By doing this, a person is able to fix the problem for good. Not just "treat the symptoms" so to speak.
What are some reasons for the promotion of an unrealistic standard of beauty?
It is effective as a technique of social control of people--especially women.
Why do you study dc analysis first before ac analysis?
We do study DC Analysis first before AC Analysis for the sake of simplicity, for pedagogic reasons, and also for historic reasons. As useful and as easy to understand as DC is, it serves as a preparatory ladder in studying the more complex behavior of AC. In addition, it is to respect the historical sequence of events since DC sources were first discovered before the AC sources.
