Hey there! I'm happy to help!
Tan means tangent. The tangent is the ratio of the opposite side of the angle to the adjacent side of the angle.
If we look across from angle C, we see that the opposite side is 5.
The adjacent side is the one next to the angle, and it can't be the hypotenuse (the diagonal one). Our adjacent side is 13.
So, the tangent of C is 5/13, and we can divide these, giving us about D. 0.38.
Have a wonderful day! :D
Integers are numbers and absolute value is the magnitude of the numbe non dependent of its sign (absolute value is the number as a positive) ex; the absolute value of -3 is 3... and if the original number is positive it stays the same so ex; the abosolute value of 8 is 8
ok so 7 divided by 12 is 0.5833333 repeating so -0.72 is less because the bigger one is always less in the negatives
Answer:
The number of students we expect to have an interval that does not contain the true mean value is,
.
Step-by-step explanation:
A [100(1 - α)%] confidence interval for true parameter implies that if 100 confidence intervals are created then [100(1 - α)] of these 100 confidence intervals will consist the true population parameter value.
Here α is the significance level. It is defined as the probability rejecting the claim that the true parameter value is not included in the 100(1 - α)% confidence interval.
It is provided that 255 students create the same confidence interval, correctly.
Then the number of students we expect to have an interval that does not contain the true mean value is, ![255\times [\alpha\%]](https://tex.z-dn.net/?f=255%5Ctimes%20%5B%5Calpha%5C%25%5D)
For instance, if the students are creating a 95% confidence interval for mean then the number of students we expect to have an interval that does not contain the true mean will be:
The significance level is:

Number of students we expect to have an interval that does not contain the true mean will be: ![255\times [\alpha\%]=255\times 0.05=12.75\approx13](https://tex.z-dn.net/?f=255%5Ctimes%20%5B%5Calpha%5C%25%5D%3D255%5Ctimes%200.05%3D12.75%5Capprox13)
Thus, 13 of the 255 confidence intervals will not consist the true mean value.