A researcher wants to determine how productive males and females are when working with machines of v
Question: A researcher wants to determine how productive males and females are when working with machines of varying weights. His first hypothesis is that there is no difference between males and females in the number of teddy bears they can produce in a typical 8-hour shift. His second hypothesis is that the weight of machinery used makes no difference on productivity. His third hypothesis is that there is no interaction between gender and weight of a processing machine.
Assume that he has controlled all other variables that could interact with the two designated independent variables. Among these variables are age, working experience, factory conditions, and type of product. In other words, all teddy bears are the same size. Further assume that the 30 participants have been chosen at random after age and experience were controlled.
Below are the data that you should input to Excel’s two-way ANOVA with replication program.
The Toy Factory Problem
| Light Wt | Mid Wt | Heavy Wt | ||
| male | 20 | 43 | 57 | |
| male | 21 | 42 | 62 | |
| male | 16 | 39 | 60 | |
| male | 19 | 38 | 65 | |
| male | 17 | 40 | 73 | |
| female | 55 | 38 | 21 | |
| female | 64 | 39 | 19 | |
| female | 62 | 40 | 24 | |
| female | 71 | 37 | 14 | |
| female | 54 | 41 | 15 |
(a) Paste your Excel printout here, or attach it to this assignment.
(b) Analyze the Excel report and discuss the findings. What would you do if you were a manager at that toy factory?
Deliverables: Word Document
