Business numbers
Prob 7
| 7. (16 pts) Daily demand for an item of stock is normally distributed with a mean of 400 items and a standard | |
| deviation of 120 items. What is the probability that demand in a single day is: | |
| a. not more than 350 items, P(x <= 350)? | |
| b. greater than 500 items, P(x > 500)? |
Prob 8
| 8. (16 pts) X is the drying time (minutes) of a certain production item, and Y is the output technical rating. | |||||
| x | y | ||||
| 41 | 206 | a. Obtain the least squares linear regression equation for tech rating based drying time | |||
| 9 | 557 | for the 20 observations. | |||
| 44 | 350 | ||||
| 46 | 248 | ||||
| 17 | 725 | ||||
| 11 | 664 | ||||
| 3 | 548 | ||||
| 14 | 376 | ||||
| 1 | 377 | b. Calculate the Pearson product moment correlation coefficient for drying time | |||
| 18 | 383 | and tech rating. | |||
| 38 | 481 | ||||
| 24 | 452 | ||||
| 37 | 316 | ||||
| 33 | 567 | ||||
| 29 | 284 | ||||
| 5 | 637 | ||||
| 19 | 581 | ||||
| 22 | 409 | ||||
| 10 | 395 | ||||
| 28 | 445 | ||||