Hi, Xenia, I need a guide to help to understand 400 words please.
What are the similarities between descriptive and inferential statistics? What are the differences? When should you use descriptive and inferential statistics? Give two specific examples of descriptive statistics and two specific examples of inferential statistics. Be sure to discuss the concept of hypothesis testing and the role of probability in hypothesis testing.
o Define the following terms and describe the relationship between them: single-case research design, small-N research design, single-subject design, case study. When should each be used?
o What are true experiments? How are threats to internal validity controlled by true experiments? How are true experiments different from quasi-experiments?
o What are pseudo or quasi-experimental designs? Why are they important? When would we use a quasi-experiment? Provide a specific example of when a quasi-experiment should be used instead of a true experiment.
o What is a correlation and how is it different from a true experiment and a pseudo or quasi-experiment?
Hi and I hope that this solution gets to you in time. I have been travelling the last 2 days (London) and have been unable to get to the computer in time to get to much of the problems you have uploaded. I hope this one gets to you. Now, the problems that you have listed are, as I understand it, all about understanding these terms. Not a problem, I will try and explain them to you as concise as possible. I suggest looking at the listed resources to explore the ideas presented here further. If you have any questions just let me know via the feedback section. Good luck with your studies!
OTA 105878/Xenia Jones
On Descriptive and Inferential Statistics
Both are used to analyse research results, to describe and present conclusions on a study. Now, descriptive statistics is all about describing and summarizing data in such a way that shows patterns in the results. The thing about descriptive statistics is that is only focused and limited within the context of that data, thus it does not allow researchers to draw conclusions beyond it. In other ways, descriptive statistics only describes the data drawn from that research as researching conclusions based on it to forward the hypothesis is not at all possible. Consider for example the scores achieved by students in a particular class for a particular test. Descriptive statistics will show distribution of scores (frequency) from lowest to highest, including mode, median and mean. Now if your hypothesis is that 'students have improved learning skills' then the descriptive statistics will provide a description of scores, show patterns of scores but cannot directly support or ...
Tge solution is a short guide that provides insight and answers to the questions above (see original problem) on the topic of inferential statistics, descriptive statistich,validity, experiments and research. Resources are listed for further exploration of the topic. A word-version is also attached.