4. A study of the effect of television commercials on12-year-old children measured their attention span, in seconds. Thecommercials were for clothes, food, and toys.
| Clothes | Food | Toys |
| 35 | 42 | 56 |
| 32 | 39 | 42 |
| 34 | 39 | 53 |
| 35 | 55 | 60 |
| 28 | 47 | 63 |
| 31 | 42 | 53 |
| 17 | 34 | 48 |
| 31 | 43 | 58 |
| 20 | 57 | 47 |
| 47 | 51 |
| 44 | 51 |
| 54 | |
|
  Click here for the Excel Data File
- Complete the ANOVA table. Use 0.05 significance level.(Round the SS and MS values to 1 decimal place andF value to 2 decimal places. Leave no cells blank — becertain to enter \"0\" wherever required. Round the df values tonearest whole number.)
- Find the values of mean and standard deviation. (Roundthe mean and standard deviation values to 3 decimalplaces.)
- Is there a difference in the mean attention span of thechildren for the various commercials?
- Are there significant differences between pairs of means?
| Item | Length |
| Clothes | 35 |
| Clothes | 32 |
| Clothes | 34 |
| Clothes | 35 |
| Clothes | 28 |
| Clothes | 31 |
| Clothes | 17 |
| Clothes | 31 |
| Clothes | 20 |
| Food | 42 |
| Food | 39 |
| Food | 39 |
| Food | 55 |
| Food | 47 |
| Food | 42 |
| Food | 34 |
| Food | 43 |
| Food | 57 |
| Food | 47 |
| Food | 44 |
| Food | 54 |
| Toys | 56 |
| Toys | 42 |
| Toys | 53 |
| Toys | 60 |
| Toys | 63 |
| Toys | 53 |
| Toys | 48 |
| Toys | 58 |
| Toys | 47 |
| Toys | 51 |
| Toys | 51 |
