True or False The model used for hypothesis testing of proportions is called a two-proportion z-test.
True or False Beta (β) is the significance level which determines if the null hypothesis is rejected.
True or False In business, the p-value is one of several factors in determining whether or not to reject a null hypothesis.
True or False We could make a decision to reject a null hypothesis on a very low p-value or a very high z score.
For hypothesis testing of proportion we always use Z test. Hence for testing the proportions we use Two proportion Z test.
Hence this is TRUE.
In hypothesis testing we use as level of significance which determines if the null hypothesis is rejected, not .
Hence this is FALSE.
We could make a decision to reject a null hypothesis on a very low p-value or a very high z score. If the P value is less than
then we reject H0.
Decision rule:
If P value then reject H0.
If P value > then fail to reject H0.
Hence we can say that this is TRUE.
Hope this will help you. Thank you :)
True or False The model used for hypothesis testing of proportions is called a two-proportion z-test....
Question 21 (4 points) For a hypothesis test about a population proportion or mean, if the level of significance is less than the p- value, the null hypothesis is rejected. (Ch10) True False Question 22 (4 points) Everything else being constant, increasing the sample size decreases the probability of committing a Type II error. (Ch10) True False The power of a statistical test is the probability of not rejecting the null hypothesis when it is true. (Ch10) True False Question...
of the following statements, two are true and three are false. Which ones are true? A very small p-value is indicative of very strong evidence against the null hypothesis. A very large p-value is indicative of very strong evidence against the null hypothesis. If a null hypotheis is rejected at the 5% significance level, it would also be rejected at the 10% significance level. A very large p-value is indicative of very strong evidence against the alternative hypothesis. A very...
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