Answer:
ask math because it will tell you
Step-by-step explanation:
Answer:
The place where the x and y axis meet, is called the point of origin
Step-by-step explanation:
Answer:
So its C! Heart it if its explained well, thanks!
Step-by-step explanation:
There is a pattern. The ordered pairs look like this...(1,10), (2,20), (3,30), (8,80) etc. So if we keep going (12,120)
9514 1404 393
Answer:
acute scalene triangle
Step-by-step explanation:
The largest angle is acute, and all sides are different lengths. The triangle is an<em> acute scalene triangle</em>.
____
The magnitudes of the coordinate differences are ...
WX = (7, 5), XY = (2, 7), WY = (9, 2)
The two sides that are closest in length are ...
WX = √(49+25) = √74
WY = √(81 +4) = √85
Obviously, these are different lengths.
You can get a clue by comparing the numbers whose squares you are adding:
7^2 +5^2 > 7^2 +2^2 . . . . . WX > XY
9^2 +2^2 > 7^2 +2^2 . . . . WY > XY
so, the only question is relation between WX and WY. We note that the length of WX is less than one of the coordinate differences of WY, so we know WY is the longest. (√74 < 9)
We can tell from the graph that angle X (opposite longest side WY) is an acute angle, so the triangle is acute.
Answer:
(B) Because the confidence interval includes 0, we don't have convincing evidence that sugar causes faster reading times, on average.
Step-by-step explanation:
Confidence Interval for the population mean difference in reading is basically an interval of range of values where the true population mean difference in reading time can be found with a certain level of confidence.
Mathematically,
Confidence Interval = (Sample mean) ± (Margin of error)
In using confidence interval of population mean difference in reading times for hypothesis testing, if the interval obtained contains a value of 0, it means the population mean difference in reading times can take on a value of 0 and indicate that there isn't enough evidence to conclude that there is a significant difference in the two quantities being compared. (The null hypothesis is true).
If the interval doesn't contain a 0, then it can be concluded that there is enough evidence to conclude that there is significant difference in the two quantities being compared.
Hope this Helps!!!
