Hypotheses are always statements aboutpopulation parameters, which are unknown values that we are trying to infer from the sample data. The correct option is a, c and d.Hypotheses are always statements about population parameters. Instatistical hypothesis testing, the null hypothesis is a statement about the population parameter that is being tested. The alternative hypothesis is a statement that contradicts the null hypothesis and proposes a different value for the population parameter.For example, if we want to test whether the mean weight of a population of apples is 100 grams, then the null hypothesis would be that the mean weight is equal to 100 grams, and the alternative hypothesis would be that the mean weight is not equal to 100 grams.It is important to note that hypotheses are not statements about sample statistics or estimators, which are values calculated from the sample data. Hypotheses are about the population parameter, which is an unknown value that we are trying to infer from the sample data.Thesample size,on the other hand, is an important factor in determining the accuracy and reliability of the estimate of the population parameter, but it is not the subject of the hypothesis itself.In summary, The sample statistics,estimators,and sample size are important factors in statistical inference, but they are not the subject of the hypothesis itself.  The correct option is a, c and d.Know more about thestatistical hypothesis testingbrainly.com/question/15980493#SPJ11...

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