What is the answer about this I really need help
2 answers:
You might be interested in
Come on now, check your book on the "product to sum" identities
![\bf cos({{ \alpha}})sin({{ \beta}})=\cfrac{1}{2}[sin({{ \alpha}}+{{ \beta}})\quad -\quad sin({{ \alpha}}-{{ \beta}})]](https://tex.z-dn.net/?f=%5Cbf%20cos%28%7B%7B%20%5Calpha%7D%7D%29sin%28%7B%7B%20%5Cbeta%7D%7D%29%3D%5Ccfrac%7B1%7D%7B2%7D%5Bsin%28%7B%7B%20%5Calpha%7D%7D%2B%7B%7B%20%5Cbeta%7D%7D%29%5Cquad%20-%5Cquad%20sin%28%7B%7B%20%5Calpha%7D%7D-%7B%7B%20%5Cbeta%7D%7D%29%5D)
The total area of the figure is 139.20 square centimeters
Areas
The area of a shape is the amount of space it occupies
<h3>Composite figure</h3>The figure (see attachment) is a composite figure, and the total area is the sum of the areas of each shape that makes up the complete figure
The shape has 6 equilateral triangles, each of which has an area of:
Where:
--- the length of each toothpick
The area of the rectangle is then represented as:
So, the total area of the figure is:
This gives
Substitute 6 for s
Hence, the total area of the figure is 139.20 square centimeters
Read more about areas at:
Answer:
The critical value is .
The 99% confidence interval for the average net change in a student's score after completing the course is (6.236, 22.164).
Step-by-step explanation:
The first step to solve this question is finding the sample mean and sample standard deviation:
14,11,18,9,19
Sample mean is sum of all values divided by the number of values. Thus:
The sample standard deviation is the square root of the division of the sum of the subtractions squared of each value and the mean, and the number of values. Thus:
Confidence interval:
We have the standard deviation for the sample, and so we use the t-distribution to build the confidence interval.
The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So
df = 5 - 1 = 4
99% confidence interval
Now, we have to find a value of T, which is found looking at the t table, with 4 degrees of freedom(y-axis) and a confidence level of . So we have T = 4.604.
The critical value is .
The margin of error is:
In which s is the standard deviation of the sample and n is the size of the sample.
The lower end of the interval is the sample mean subtracted by M. So it is 14.2 - 7.964 = 6.236.
The upper end of the interval is the sample mean added to M. So it is 14.2 + 7.964 = 22.164.
The 99% confidence interval for the average net change in a student's score after completing the course is (6.236, 22.164).