To support the prediction that the sales manager's plan to send the remaining salespeople to the same seminar next month will achieve its goal, you need to find an option that provides evidence that attending the seminar had a direct impact on the increase in sales.
Let's evaluate each option:
(A) Last month’s seminar focused solely on tactics relevant to the work at the particular company.
- This suggests that the seminar was specifically tailored to the company's needs, but it doesn't directly connect the seminar to the increase in sales.
(B) Total company sales last month were higher than sales from the month prior to the seminar.
- This option is tempting as it shows an increase in sales, but it doesn't establish a causal link between attending the seminar and the increase in sales. It could be due to various other factors.
(C) To prepare for the seminar, the attending salespeople read a book on improving communication skills.
- This option suggests that the salespeople took additional steps to improve their skills, which could have contributed to increased sales. However, it doesn't directly tie the increase in sales to the seminar itself.
(D) Over the last month, the company’s sales were greater than the sales of its largest competitor.
- This option doesn't provide information about the seminar and its impact on sales.
(E) Invitations to last month’s seminar were not accepted solely by salespeople with above-average sales. - This option is important because it suggests that the salespeople who attended the seminar were not already high-performing, which makes it more likely that the seminar itself contributed to the increase in sales.
Option (E) is the most supportive of the prediction because it suggests that the seminar was not attended only by salespeople who were already performing well. This implies that the seminar had a positive impact on the salespeople's performance, making it more likely that sending the remaining salespeople to the same seminar will also lead to improved sales performance.