Considering that the data has no outliers, the mean of 3.2 inches should be used to describe the center of the data represented in this line plot.
<h3>What measure should be used to describe the center of a data-set?</h3>
It depends if the data-set has outliers or not.
- If it does not have outliers, the mean should be used.
- If it has, the median should be used.
The dot plot gives the number of times each measure appears. Since there is no outliers, that is, all values are close, the mean should be used. It is given by:
M = (2 x 1 + 3 x 2 + 2 x 3 + 1 x 5 + 1 x 6 + 1 x 7)/(2 + 3 + 2 + 1 + 1 + 1) = 3.2 inches.
The mean of 3.2 inches should be used to describe the center of the data represented in this line plot.
More can be learned about the mean of a data-set at brainly.com/question/24628525
Answer:

Step-by-step explanation:



Reducing 3 from numerator and denominator,

Answer:
x = 29
Step-by-step explanation:
All triangle angles add up to 180 so:
x + 17 + 2x + 5 + 3x - 16 = 180
6x + 6 = 180
6x = 180 - 6
6x = 174
x = 29
Answer:
£78.4
Step-by-step explanation:
Since he earns £9.80 per hour, we multiply this by how many hours there are. So £9.80 times 8 is £78.4. I hope this helps!
Answer:
it is -79 + 41 = 9 i tried please give me brainlest
Step-by-step explanation: