A sales manager wishes to determine the optimal number of product training days needed for new employees. In the past, d

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A sales manager wishes to determine the optimal number of product training days needed for new employees. In the past, d

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A Sales Manager Wishes To Determine The Optimal Number Of Product Training Days Needed For New Employees In The Past D 1
A Sales Manager Wishes To Determine The Optimal Number Of Product Training Days Needed For New Employees In The Past D 1 (147.96 KiB) Viewed 24 times
A sales manager wishes to determine the optimal number of product training days needed for new employees. In the past, different employees have been sent for training for one day, two days and three days. He has captured performance scores for these three groups: employees with one, two and three days of training. An ANOVA was carried out to understand the effect of these programs on employee performance so that an appropriate decision could be arrived at.<br> 1. Identify the type of design [1 Mark]<br> 2. Find out the number of observations (1 Mark]<br> 3. Formulate the hypotheses & interpret the result at 5% level of significance. [4 Marks]<br> 4. In the ANOVA table, find the missing values & complete the table [2 marks]<br> 5. Identify the extraneous variables [2 marks] insert table 2 ? Sum of Squares df Mean Square F sig. Between Groups ? 1262.846 ? .000 Within Groups 5974.724 ? ? Total 8500.415 59
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