14. What is the definition of random assignment? 15. Imagine that the researcher
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14. What is the definition of random assignment? 15. Imagine that the researcher failed to use a random sample. How would this failure limit her study's conclusions? 16. Imagine that the researcher failed to use random assignment in her study. How would this limit her research conclusions? 17. No matter what hypothesis test you are using, there are two basic "differences" that you are analyzing in ALL hypotheses tests. What are these two "differences"? 18. What is meant by the term "statistical significance"Explanation / Answer
14) Random Assignment is a technique to assign particpants into 2 groups ie treatment group and control group randomly without any bias so that each participant has a equal chance of being selected in either treatment or control group
15) If the researcher failed to use random samples then there is a very high risk of sampling bias to occur which would then influence the final results as the results will be skewed
Hence the conclusion reached will not be of any statistical significance.
16) If random assignment is not made then there is a high risk of grouping of data ie, similar data points are grouped together forming clusters of their own which will give a wrong conclusion about the data
17) 1. We are interested in knowing if there is any significant difference between the null and alternate hypothesis indicated by the data
2. At any given level of significance do the hypothesis test hold good or is there a variation in the results
18) Statistical significance implies that we are checking if the relationship between the variables found is other than random chance or due to other reasons
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