We want to test whether two randomly selected polls are different (assume sample size >30). The first has a result of 41% and the second has a result of 51%. While in the field, we are told that thestandard erroris 3% (not margin of error). Your boss, who is running for re-election, needs to know right away whether they are different (and you've left your iPad and t distribution tables at home).

For your margin of error, you'll need to come up with a critical t-score on the fly, so you can calculate your margin of error (remember you Rule of Thumb about an unusual t-/z-score). Based on these finding you tell your boss:

• A.

The 95% confidence interval for each poll result is about 38%-44% vs. 48%-54%; the polls are not likely to be statistically significant.

• B.

The 95% confidence interval for each poll result is about 38%-44% vs. 48%-54%, the polls are likely to be statistically significant.

• C.

You cannot make any decision at all because the value of the t-score is not available.

• D.

Cannot make any decision at all because the distribution of the population is unknown.

• E. The 95% confidence interval for each poll result is about 35%-47% vs. 45%-57%, the polls are NOT likely to be statistically significant.
• F. The 95% confidence interval for each poll result is about 35%-47% vs. 45%-57%, the polls are likely to be statistically significant.