No, the data does not support the claim with an improvement of 13 percent.
In the graph, it can be observed that Group A (current training materials) has a passing rate of 20%, Group B (new training materials) has a passing rate of 30%, and Group C (both current and new training materials) has a passing rate of 24%. If we calculate the difference between the passing rates of Group B and Group A (30% - 20% = 10%), we can see that the improvement is not the claimed 12%. Therefore, the data does not support the academy's claim.
Use the image to answer the question.
A horizontal bar graph is titled Trainee Results of Groups upper A, upper B, and upper C. A legend below the graph shows that the solid bars indicate the number who failed, and the striped bars indicate the number who passed.
An aviation academy is reforming a study on the efficacy of new training materials developed to prepare trainees for comprehensive testing. The academy randomly separates the trainees into three groups. Group A is only permitted to use the current training materials. Group B is only permitted to use the new training materials. Group C is advised to use both the current and the new training materials.
The aviation academy hypothesizes that the use of new training materials will increase the percentage of trainees who pass the comprehensive testing by 12 percent. Determine whether the data supports the academy’s claim.
(1 point)
Responses
Yes, the data supports the claim with an improvement of 13 percent.
Yes, the data supports the claim with an improvement of 13 percent.
No, the data does not support the claim with an improvement of 13 percent.
No, the data does not support the claim with an improvement of 13 percent.
Yes, the data supports the claim with an improvement of 2 percent.
Yes, the data supports the claim with an improvement of 2 percent.
No, the data does not support the claim with an improvement of 2 percent.
1 answer
1 answer