t-test

17. Researchers are interested in whether accuracy on an antisaccade task is affected by caffeine consumption. They have 18 participants complete the antisaccade task twice: once after drinking a cup of decaf coffee, and once after drinking a cup or regular caffeinated coffee. They run the R-code below and obtain the result output. (a = .05) > t. test(Anti_onlySaccuracy [Anti_only$drink == "decaf"]. Anti_only$accuracy [Anti_onlySdrink== caffeine"] paired Paired t-test data: Anti_onlySaccuracy [Anti_only$drink = "decaf"] and Anti drink ffeine"] t = 1.7062, df = 18, p-value =0.1052 alternative hypothesis: true difference in means is not equal 95 percent confidence interval;" -0. 01400355 0.13505619 sample estimates: mean of the differences 0. 06052632 a. What are the null and alternative hypotheses? b. What type of t-test was conducted? c. Is their hypothesis supported? d. Write a conclusion to go along with your evaluation