Answer: -5
Step-by-step explanation: alrite so when u graph it, the line crosses -5 on the y axis
The blue ribbon would be 19 inches. We know the red ribbon is 12 inches and it’s 7 inches less than the blue one, so you would add 7 to 12 to figure out that the blue ribbon is 19 inches.
Answer:
42,43,43,44
Step-by-step explanation:
If there are four numbers in a list then the middle 2 numbers should be added up and divided up to give the mean. If we are given the mean we can now work backwards to give us:
(where x and y are the 2 middle numbers)
We can also see that x and y must be equal as the mean is an integer.
So:

So x=43 and that is the middle 2 numbers.
I don't exactly know how to explain how i got the other 2 numbers.
Answer:
1190
Step-by-step explanation:
Here, you need to add the squares of the measurements.
20² + 10² + 13² + 11² + 20² =
= 400 + 100 + 169 + 121 + 400
= 1190
Answer:
a) There are 10 different samples of size 2.
b) See the explanation section
c) See the explanation section
Step-by-step explanation:
a) We need to select a sample of size 2 from the given population of size 5. We use combination to get the number of difference sample.

b) Possible sample of size 2:
Peter Hankish 8 Connie Stallter 6 Juan Lopez 4 Ted Barnes 10 Peggy Chu 6
- Peter Hankish and Connie Stallter ( Mean = (8 + 6)/2 = 14/2 = 7)
- Peter Hankish and Juan Lopez (Mean = (8 + 4)/2 = 12/2 = 6)
- Peter Hankish and Ted Barnes (Mean = (8 + 10)/2 = 18/2 = 9)
- Peter Hankish and Peggy Chu (Mean = (8 + 6)/2 = 14/2 = 7)
- Connie Stallter and Juan Lopez (Mean = (6 + 4)/2 = 10/2 = 5)
- Connie Stallter and Ted Barnes (Mean = (6 + 10)/2 = 16/2 = 8)
- Connie Stallter and PeggyChu (Mean = (6 + 6)/2 = 12/2 = 6)
- Juan Lopez and Ted Barnes (Mean = (4 + 10)/2 = 14/2 = 7)
- Juan Lopez and Peggy Chu (Mean = (4 + 6)/2 = 10/2 = 5)
- Ted Barnes and Peggy Chu (Mean = (10 + 6)/2 = 16/2 = 8)
c) The mean of the population is:

Comparing the mean of the population and the sample; we can say that most of the 2-size sample have their mean higher than that of the population sample. And the variation with the mean is not much. Some sample have their mean greater than population mean, while some sample have their mean greater than the population mean.