In: Math
Choose whether the following statements are true or false.
The null and alternative hypotheses should be written in terms of the sample statistic. TrueFalse
The test statistic is computed assuming that the null hypothesis is true. TrueFalse
The test statistic is usually equal to the sample statistic ?⎯⎯⎯⎯⎯ TrueFalse
The p-value is the probability that the null hypothesis is true. TrueFalse 19. The p-value is the probability that the alternative hypothesis is true. TrueFalse
If the p-value is smaller than the level of significance (?α) then the null hypothesis is rejected. TrueFalse
The null and alternative hypotheses should be written in terms of the sample statistic. FALSE
Null and Alternate hypothesis is always about Population, hence it is written in terms of population parameter.
The test statistic is computed assuming that the null hypothesis is true. TRUE
In test statistics in numerator we subtract population parameter from the sample test statistics , that means we are assuming that null hypothesis is true.
The test statistic is usually equal to the sample statistic ? FALSE
In test statistic we use sample statistic, sample test statistics may be anything, x bar or p^. We use these in computing test statistics ( Z or t test statistic )
The p-value is the probability that the null hypothesis is true TRUE
The p-value is the probability that the null hypothesis is true, by assuming this we compute test statistic and from the test statistic we compute P value.
The p-value is the probability that the alternative hypothesis is true. FALSE
The p-value is the probability that the null hypothesis is true, and not the alternate hypothesis.
If the p-value is smaller than the level of significance (α) then the null hypothesis is rejected. TRUE
Hope this will help you. Thank you :)