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What Descriptive Model Is Used To Plan Experiments For Further Testing

Need help with my vocab do this ill give u how many ever points u want plz help me i have a problem focosing?

1.you need to define each word
2. use each word in a sentence
3.find the antonym and define that.
4.use each antonym in a sentence .
....each sentence has to describe the word so if you were to read the sentence you would know what the word meant. in cant be one big paragraph it has to be seperate sentences.
heres the words. anonymous,benevolent,maleovent,formidibl... poignant,predatory,progeny,surreal,misch... precede,proceed,elucidation,idiosyncrati... dispassionate unbiased,mania,inconsequential

Relation of microbiology to the movie "outbreak" starring dustin hoffman..?

What is this, a college exam?

What are some common statistical tools used to get sense out of chunks of data?

We carry out research to test hypotheses, and we do that by getting hold of data. Hopefully, if our experiments are planned and executed correctly, we can get hold of good data that can tell us something unique about the world.While the first part of any experiment – the planning and execution – is critically important, it is only half the battle. How the data is treated is just as important, and analyzing good data in the right way can lead to groundbreaking findings and insights.Tools that are available to carry out statistical analysis of data and carry out suitable hypotheses testing.RPythonSASSPSSMatlabMS ExcelMinitabOctaveIf you are focused on getting sense out of data with the help of visualization rather than usage of any statistical techniques. The most used tools areExcelTableau DesktopPower BIRapid MinerQlikviewKNIMEHope it was helpful.

What is the difference between a research question and a research hypothesis?

A research question would set boundaries for the area to be explored and the answers that your research need to answer and hypothesis is a scientific way in which you assume an answer to the research question or its sub-components and then test if your assumption was correct. For instance, if you have a research done on causes of software project failures then your research question might be - What are the key causes of project failure in IT? based on this question, you may write answers and then develop hypotheses from them as follows:Answer: Unclear Project scope, Lack of budget and Lack of Project management skills are reasons behind project failure. So your hypotheses would be:1. H0: Null Hypothesis - Unclear project scope causes project failureHa: Alternate Hypothesis - Unclear Project Scope does not cause project failureProve that your null hypothesis is correct and the cause you identified becomes your answer otherwise alternate hypothesis is true and you can say that Unclear Project scope does not cause project failure. In similar way, you will have more hypotheses:2. H0: Null Hypothesis - Lack of budget causes project failureHa: Alternate Hypothesis - Lack of budget does not cause project failure3. H0: Null Hypothesis - Lack of Project management skills  causes project failureHa: Alternate Hypothesis - Lack of Project management skills does not cause project failureSo research question actually asks a question and hypothesis proves the possible answers. At times research question can also present question in the form of answer itself and hypothesis proves them. For example, research question could be:Does unclear project scope causes project failure? and the hypothesis assumptions say yes or no to this answer which you can prove thereafter using statistical methods of hypothesis testing

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