| № |
Condition |
free/or 0.5$ |
| m284 | A company performs inspection on shipments from suppliers in order to detect nonconforming products. The company’s policy is to use a sample size that is always 10% of the lot size. Comment on the effectiveness of this policy as a general rule for all sizes of lots. |
buy |
| m285 | A company that tracks the use of its web site determined that the more pages a visitor views, the more likely the visitor are to provide contact information. Use the following tables to answer the questions:
Number of
Pages viewed: 1 2 3 4 or more
Percentage of Visitors: 40 30 20 10
Percentage of visitors In each page-view
Category that provide
Contact information: 10 10 20 40
(a) What is the probability that a visitor to the web site provides contact information?
(b) If a visitor provides contact information, what is the probability that the visitor viewed four or more pages? |
|
| m286 | Compute a 95% confidence interval for the population mean, based on the sample 10, 12, 13, 14, 15, 16, and 49. Change the number from 49 to 16 and recalculate the confidence interval. Using the results, describe the effect of an outlier or extreme value on the confidence interval |
|
| m287 | Compute a simple index for the number of employees for GE using the period 2004–06 as the base. What can you conclude about the change in the number of employees over theperiod? |
|
| m288 | Compute a simple index for the number of employees for GE. Use 2004 as the base period. What can you conclude about the change in the number of employees over theperiod? |
buy |
| m289 | Compute a simple index for the revenue of GE. Use 2004 as the base period. What can you conclude about the change in revenue over theperiod? |
|
| m290 | Compute a simple index for the revenue of GE using the period 2004–06 as the base. What can you conclude about the change in revenue over theperiod? |
|
| m291 | Compute a simple price index for each of the four items. Use 1990 as the baseperiod. |
|
| m292 | Compute a simple price index for each of the four items. Use 2000 as the baseperiod. |
buy |
| m293 | Compute a simple price index for each of the four items. Use 2000 as the baseperiod. |
buy |
| m294 | Compute a simple price index for each of the three items. Use 2000 as the baseperiod. |
|
| m295 | Compute Laspeyres’ price index for 2013 using 1990 as the baseperiod. |
buy |
| m296 | Compute Laspeyres’ price index for 2013 using 2000 as the baseperiod. |
buy |
| m297 | Compute Laspeyres’ price index for 2013 using 2000 as the baseperiod. |
buy |
| m298 | Compute Laspeyres’ price index for 2013 using 2000 as the baseperiod. |
buy |
| m299 | Compute Paasche’s index for 2013 using 1990 as the baseperiod. |
|
| m300 | Compute Paasche’s index for 2013 using 2000 as the baseperiod. |
|
| m301 | Compute Paasche’s index for 2013 using 2000 as the baseperiod. |
buy |
| m302 | Compute Paasche’s index for 2013 using 2000 as the baseperiod. |
buy |
| m303 | Compute the mean and variance of the following discrete probability distribution.
x P(x)
0 ....... .2
1 ....... .4
2 ....... .3
3 ....... .1 |
buy |
