question archive An experiment was conducted to evaluate the impact of two conditions (group 1 and group 2) on whether or not participants improved performance of a task
An experiment was conducted to evaluate the impact of two conditions (group 1 and group 2) on whether or not participants improved performance of a task
Subject:StatisticsPrice: Bought3
An experiment was conducted to evaluate the impact of two conditions (group 1 and group 2) on whether or not participants improved performance of a task.
| Improved | Did not improve | Total | |
| Group 1 | 8 | 3 | 11 |
| Group 2 | 1 | 5 | 6 |
| Total | 9 | 8 | 17 |
They obtained the following output:
> tbl
[,1] [,2]
[1,] 8 1
[2,] 3 5
> fisher.test(tbl)
Fisher's Exact Test for Count Data
data: tbl
p-value = 0.04977
alternative hypothesis: two.sided
> tbl
[,1] [,2] [,3]
[1,] 8 1 9
[2,] 3 5 8
[3,] 11 6 17
> fisher.test(tbl)
Fisher's Exact Test for Count Data
data: tbl
p-value = 0.3142
alternative hypothesis: two.sided
Which of the following is the best conclusion to draw from the study?
a. There is not evidence that the condition is associated with performance improvement
b. There are conflicting results - no conclusion should be drawn
c. There is evidence that the condition is associated with performance improvement
