Question 983544: The number of television viewing hours per household and the time slots are two factors that affect television advertising income. A random sample of 24 households in a particular viewing area produced the folowing estimates of viewing hours per household: 3.0 6.0 7.5 15.0 12.0 6.5 9.0 4.0 6.0 5.0 12.0 1.0 3.5 3.0 7.5 5.0 10.0 8.0 4.0 9.0 2.0 6.5 1.0 5.0
The variance is?
Answer by reviewermath(1029)   (Show Source):
You can put this solution on YOUR website! The number of television viewing hours per household and the time slots are two factors that affect television advertising income. A random sample of 24 households in a particular viewing area produced the following estimates of viewing hours per household: 3.0 6.0 7.5 15.0 12.0 6.5 9.0 4.0 6.0 5.0 12.0 1.0 3.5 3.0 7.5 5.0 10.0 8.0 4.0 9.0 2.0 6.5 1.0 5.0
The variance is?
R code:
> tvhours <- c(3, 6, 7.5, 15, 12, 6.5, 9, 4, 6, 5, 12, 1, 3.5, 3, 7.5, 5, 10, 8, 4, 9, 2, 6.5, 1, 5)
> var(tvhours)
[1] 12.82201
The sample variance is 12.822 [3 decimal places]
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