Answer:
22 degrees
Step-by-step explanation:
using inverse tangent
2.1/5.3 = 0.396226415
tan -1(0.396226415
ANSWER = 21.6147
Answer: It will take
of an hour to complete the test.
Step-by-step explanation:
We need to convert the mixed number
to an improper fraction:

Now, we need to make the following add the fractions in order to calculate how many hours will it take to complete the test. Then, we get:

Therefore, it will take
of an hour to complete the test.
The figure is NOT unique.
Imagine the following quadrilaterals:
Rectangle
Square
We know that:
Both quadrilaterals have at least two right angles.
However, they are not unique because they depend on the lengths of their sides.
Answer:
The figure described is not unique.
Answer:
PART 2,4,6 are not solvable since they do not have any number
Part 1
1 = 61
2 = 119
3 = 61
4 = 119
5 = 61
6 = 119
7 = 61
8 = 119
Part 3
1 = 128
2 = 52
3 = 128
4= 52
5 = 128
6 =52
7 = 128
8 =52
Part 5
1 = 135
2 = 45
3 = 135
4 = 45
5= 135
6= 45
7=135
8= 45
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!!!