In marketing children's products, it is extremely important to produce television commercials that hold the attention of the children who view them. A psychologist hired by a marketing research firm wants to determine whether differences in attention span exist between children watching advertisements for different types of products (new computer game, breakfast cereal, children's clothing). Twenty one children were recruited for the experiment and they were grouped according to age. Three 10-year-olds, three 9-year-olds, three 8-year-olds, three 7-year-olds, three 6-year-olds, three 5-year-olds, and three 4-year-olds were randomly assigned to watch one of the three commercials. Their attention span (in seconds) was measured and recorded. At the 5% level of significance do the results indicate that there are differences in the mean attention span between the three products? Assume Minitab gave the following partial results:

Source	DF	SS	MS	F	P
Product		43.52			0.007
Age		195.33			0.000
Error		33.81
Total

Product	Age	Attention
Computer	10-year olds	42
Computer	9-year olds	45
Computer	8-year olds	41
Computer	7-year olds	39
Computer	6-year olds	39
Computer	5-year olds	35
Computer	4-year olds	33
Cereal	10-year olds	41
Cereal	9-year olds	40
Cereal	8-year olds	41
Cereal	7-year olds	36
Cereal	6-year olds	38
Cereal	5-year olds	37
Cereal	4-year olds	34
Clothes	10-year olds	40
Clothes	9-year olds	38
Clothes	8-year olds	36
Clothes	7-year olds	37
Clothes	6-year olds	38
Clothes	5-year olds	31
Clothes	4-year olds	30

What is the computed test statistic? Round your final answer to 2 decimal places.

What is the table test statistic? Provide 3 decimal places. Approximate if necessary.

What is the p-value for this test? Round to 3 decimal places.

What is the statistical conclusion?

Was this an appropriate ANOVA procedure?