Question:
Suppose that the populations of the United States and China both increase by 12 million people in one year. What would be the relative change for each country? Answer to the nearest tenth of a percent (1 decimal place). Make sure that you fill in each answer area before checking "How Did I Do?".
If you assume that the U.S. population is about 300 million, an increase of 12 million would result in a relative change of Number %.
If you assume that China has about 1 billion people, an increase of 12 million would result in a relative change of Number %.
Answer:
The relative change of the United States and China is 4% and 1.2%, respectively.
Step-by-step explanation:
Given
Represent population with p. So, we have:
United States
China
Required
Determine the relative change for each country
Relative change, C is calculated as:
For United States
For China
The relative change of the United States and China is 4% and 1.2%, respectively.
Answer:
A. The Federal Trade Commission
Step-by-step explanation:
The FTC inaugurated its doors in March 1915. The FTC's purpose is to protect consumers and encourage contestants. The FTC cannot solve individual grievances, but it can present knowledge about what steps to exercise. The FTC states that accusations can improve it and its law implementation partners identify patterns of fraud and exploitation, which may direct to examinations and preventing unfair marketing practices.
Answer:
106$
Step-by-step explanation:
80% off of 500$ is 100$ and 6% of 100$ is 6$ add that and u get 106$
Answer:
The amount that Obi initially had was £20
Step-by-step explanation:
Let
x ----> amount that Obi initially has
y ----> amount that Rudy has
we know that
----> equation A
----> equation B
Solve the system by substitution
substitute equation A in equation B
solve for y
Find the value of x
therefore
The amount that Obi initially had was £20
Answer:
The answer is false
Step-by-step explanation:
In a sample above 30 obs like this the confidence interval is defined as
X+- t* (s/sqrt(n)) where X is the mean t the tvalue for a given confidence level, n the size of sample and s standar deviation.
To find de appropiate value of t we must see the T table where rows are degrees of freedom and columns significance level
The significance is obtained:
significance = 1 - confidence level = 1 - 0.9 = 0.10
Degrees of freedom (df) for the inteval are
df = n - 1 = 18 - 1 = 17
So we must look for the value of a t with 17 values and significance of 0.10 which in t table is 1.740 not 1.746 ( thats the t for 16 df)
