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To decide whether observed differences between samples reflect actual differences between?
statistical significance
What are the differences between qualitative and quantitative models?
distinguish between qualitative and quantitative model
What are the differences between qualitative quantitative?
Quantitative is based on measurements and numbers :)
What is the difference between parametric and nonparametric statistical tests in Health care?
Parametric tests draw conclusions based on the data that are drawn from populations that have certain distributions. Non-parametric tests draw fewer conclusions about the data set. The majority of elementary statistical methods are parametric because they generally have larger statistical outcomes. However, if the necessary conclusions cannot be drawn about a data set, non-parametric tests are then used.
In testing for differences between the means of two related populations the null hypothesis is?
That there is no difference between the means for the two populations.
What is the relationship between the results and the conclushion?
The relationship between results and conclusions are that the information from the results lead a person(s) to form a conclusion.
What do scientists do after the reach conclusions from the results of their experiments?
They share the results of the experiment.
What suggests possible reason for the discrepancy in two conclusions?
The discrepancy in two conclusions could be due to differences in methodology, data sources, assumptions made, or interpretation of results. It is important to critically evaluate these factors to understand why the conclusions may differ. Communication and collaboration among researchers can help identify and address the reasons behind the discrepancy.
What type of essay explains the similarities or differences between two or more things?
A comparative essay explains the similarities and differences between two or more things. It typically involves analyzing the similarities and differences to draw meaningful conclusions about the subjects being compared.
When are differences between average and actual results important?
When you are trying to measure how atypical a particular result is.
What can scientist do if results of an experiment do not support a hypothesis?
draw conclusions
What can scientists do if the results of an experiments do not support a hypothesis?
draw conclusions
What can a scientist do if the results of an experiment do not support a hypothesis?
draw conclusions
What can scientists do if the results of an experiment do not support hypothesis?
draw conclusions
What can scientists do if the results of an experiment do not support a hypothesis?
draw conclusions
Why is it important for your results to be accurate?
Accurate results are crucial for making informed decisions, ensuring the reliability of data and conclusions, and maintaining credibility in your work. Inaccurate results can lead to incorrect conclusions, wasted resources, and potential harm to individuals or organizations.
What do scientist do after they reach conclusions in their experiment?
communicate their results to other people
