6. Having a large enough It to detect a true difference is important. However, I've also mentioned in class that \"with a large enough 71, a tiny effect size could still be signicant.\" Do you think a bigger sample size is ALWAYS better? Why or why not? You can argue either case here, but try to consider multiple factors in your answer. 13 points! 0 Please replace this with your answer 7. Use your answers from earlier, the following information, and the format from class to interpret the results. 110 points) The sandwiches Dan ordered were on average 14.13 ounces, with a standard deviation of 5.41. The sandwiches Laura ordered were on average 15.13 ounces, with a standard deviation of 6.78. The test-statistic was -1.10. (Use the answer you wrote above to report the teststatistic and degrees of freedom). Cohen's d was 0.55 (as an aside, this is a place where I don't think Cohen's rules of thumb for the size of the effect apply) :1. Please replace this with your answer: We 8. Optional for extra credit (+3 points): describe a way to extend this design and make it a 2-way AN OVA design. 0 Please replace this with your answer if you'd like to answer this