Before we can claim a true relationship between variables, what alternative expl

Question

Before we can claim a true relationship between variables, what alternative explanations for an apparent relationship must be eliminated? rival hypothesis, design flaws, and sampling error social desirability bias, statistical significance, and type 1 error systematic error, random error, and measurement bias null hypothesis, probability, and inference With a p value of .02, should you accept or reject the following null hypothesis: There is no relationship between single males and females who are homeless and mental illness. accept not enough information to make a decision reject the result indicates a Type l error has been made Which answer best describes rival hypotheses? the natural tendency of any sample, especially a small one, to differ from the population from which it was drawn. the systematic distortion of a sample drawn from a population. a recognition that "other variables" that are unknown to us, may have caused the independent and dependent variables to be related in the sample when they are really not related in the population. researchers mistakenly assume that what is measured can be assumed to be synonymous with the variable they are seeking to measure.

Explanation / Answer

2. option B is right

3.option C is right

In statistical hypothesis testing, the alternative hypothesis (or maintained hypothesis or research hypothesis) and the null hypothesis are the two rival hypotheses which are compared by a statistical hypothesis test.

In the domain of science two rival hypotheses can be compared by explanatory power and predictive power

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