The test statistic in the case described in the previous question, therefore, is:This means that:If p is really still .75, the sample proportion we got is 11.3 standard deviations below it.If p is really still .75, the sample proportion we got is 11.3 percentage points below it.If p is really still .75, the sample proportion we got is 11.3 standard deviations above it.If p is really still .75, the sample proportion we got is 11.3 percentage points above it.

Suppose we have a Proportion Test, testing the % of iPhone users in a class.The null hypothesis H0 is: p = 0.5.We take a sample of 10, and the observed value is 7.What is the test statistic?

What is the value of the test statistic?

The p value is the probability of observing a value of the test statistic as extreme as, or more extreme than, the value actually observed, assuming the alternative hypothesis is trueSelect one:TrueFalse

The p-value for the hypothesis test is 0.0062 , which means the observed difference [ Select ] statistically significant at the 1% level.

95 % level of significance means there are _____ of 100 chances of acceptance and 5 % chances of errora.95b.5c.9.5d.0.95