33.What does the null hypothesis for normal deviate z test state?  A. There is no significance difference between your sample and population. The small difference is due to statistical fluctuations.  B. There is a significance difference between your sample and population.  C. The sample given to you and the population are not at all related.  D. The population is a subset of the sample given to you.

In a z-test, what is the null hypothesis typically stating?*1 pointThe sample mean is equal to the population meanThe variance within the sample is significantThere is no correlation between variablesThere is a significant difference between sample means

34.Which of the following correctly represents Z normal deviate?  A. (Sample mean - Population mean)*standard error  B. (Sample mean - Population mean)/standard error  C. Standard error/(Sample mean - Population mean)  D. Standard error + (Sample mean - Population mean)

31.When can the z-test be used in statistical hypothesis testing?  A. When the measure of central tendency used for the raw scores is the median  B. When the raw scores are transformed from a nominal scale to a ratio scale  C. When the raw score population standard deviation is known  D. When the z-test standard deviation is known

ne-sample z-test using the given sample mean, population standard deviation, and sample size, with a significance level (alpha) of 0.10.

Suppose you conduct a lower-tail z-test on the mean of normal population and get a test statistic of 0.09. The P-value for this z-test is _________ using the z-table provided in this course.