A research paper reports, "… in a sample with 350 observations, the sample average Y = 0.9 is statistically significantly different from zero at a 5% level, since its t‐statistic is 3.0." Suppose you want to test the null hypothesis that the true mean of the population is equal to one, not zero. Would you reject this null hypothesis (against a two‐sided alternative) at a 5% level?

I would reject the null hypothesis.

Step-by-step explanation:

The test is a two-tailed test because it is stated that the alternate hypothesis is two-sided.

Degree of freedom = n - 1 = 350 - 1 = 349

At 349 degrees of freedom and 5% significance level, the critical values are -1.96702 and 1.96702

Conclusion:

Reject the null hypothesis because the test statistic 3 falls outside the region bounded by the critical values -1.96702 and 1.96702.

step-by-step explanation:

the options are kind of confusing. i can tell you what i see going on here when i look at the graph.

the class and exam medians are closely related, and it looks like the low outlier on the exam did pull the median lower. [tex][/tex]