Answer:
Explanation:
1)
: All group means equal or 
At least one of the treatment group means are different
ANOVA TABLE
<u>Source of Variation SS df MS F P-value F crit
</u>
Between Groups 213.5 3 71.16667 0.65 0.5975 3.490295
Within Groups 1312.5 12 109.375
MSB = SSB / DFB = 71.16667
MSE = SSE / DFE = 109.375
F = MSB / MSE = 0.650667
3) P-value: 0.597576
The test statistic is not significant and failed to reject the null hypothesis.
4) The test statistic is not significant. So, there is no evidence to conclude that there is a difference between groups.
<span>n/2 = average number of items to search.
Or more precisely (n+1)/2
I could just assert that the answer is n/2, but instead I'll prove it. Since each item has the same probability of being searched for, I'll simulate performing n searches on a list of n items and then calculate the average length of the searches. So I'll have 1 search with a length of 1, another search looks at 2, next search is 3, and so forth and so on until I have the nth search looking at n items. The total number of items looked at for those n searches will be:
1 + 2 + 3 + 4 + ... + n
Now if you want to find the sum of numbers from 1 to n, the formula turns out to be n(n+1)/2
And of course, the average will be that sum divided by n. So we have (n(n+1)/2)/n = (n+1)/2 = n/2 + 1/2
Most people will ignore that constant figure of 1/2 and simply say that if you're doing a linear search of an unsorted list, on average, you'll have to look at half of the list.</span>
Independent Regulatory Boards and Commissions, Government organizations that direct different businesses, businesses or financial segments. They are shaped and concurred by power by Congress to control a particular industry, and there are 38 of these offices some of which includes the FCC and the FAA
A shop that sells one type of thing
