Answer:
Angles:

Sides:

Step-by-step explanation:
See attachment for complete question
From the attachment, we have:



Required
Complete the missing side and missing angles
To calculate angle B, we apply sine laws:

In this case:

This gives:


Cross Multiply

Divide both sides by 29


Take arcsin of both sides


So:

To solve for the third angle, we make use of:

This gives:




Hence, the angles are:

To calculate the length of the third side, we apply cosine law






Take the square root of both sides



Answer:
The Han dynasty last was, 215 years
Step-by-step explanation:
Given statement: The Han dynasty lasted from 206 B.C. to 9 A.D.
To find how many years did the dynasty last.
B.C. represents Before Christ
A.D. represents After Death
To find the difference between two dates,
- When the endings are the same you subtract
- When they are different you add
You can see that the endings in the given 206 B.C. and 9 A.D. are B.C. and A.D. are different.
Just add these 206 and 9 we get;
years
Therefore, 215 years did the Han dynasty last.
The answer is 254.47 ft
Step-by-step explanation:
V=pi×r^2×h
pi=3.14
r=d/2
r=6/2=3
v=(3.14)×3^2×9
=254.47 ft
Answer:
a) 3/64 = 0.046 (4.6%)
b) 63/64 = 0.9843 (98.43%)
c) 1/64 = 0.015 (1.5%)
d) 1/4 = 0.25 (25%)
Step-by-step explanation:
in order to verify that the f(x) is a probability mass function , then it should comply the requirement that the sum of probabilities over the entire space of x is equal to 1. Then
∑f(x)*Δx = 1
if f(x)=(3/4)(1/4)^x , x = 0, 1, 2, ...
then Δx=1 and
∑f(x) = (3/4)∑(1/4)^x = (3/4)* [ 1/(1-1/4)] = (3/4)*(4/3) = 1
then f represents a probability mass function
a) P(X = 2)= f(x=2) = (3/4)(1/4)^2 = 3/64 = 0.046 (4.6%)
b) P(X ≤ 2) = ∑f(x) = f(x=0)+ f(x=1) + f(x=2) = (3/4) + (3/4)(1/4) + 3/64 = 63/64 = 0.9843 (98.43%)
c) P(X > 2)= 1- P(X ≤ 2) = 1 - 63/64 = 1/64 = 0.015 (1.5%)
d) P(X ≥ 1) = 1 - P(X < 1) = 1 - f(x=0) = 1- 3/4 = 1/4 = 0.25 (25%)
Answer:
The answer is option (3) Multicollinearity
Kindly find an attached copy of a diagram to the given question
Step-by-step explanation:
Solution
The method that would be responsible for causing the p-value to increase or go higher is Multicollinearity.
Multicollinearity: Refers to a method where variables that are independent in a regression model are associated.
This correlation or association of variables tends to be a problem, because variables that are independent should remain independent.