Answer:
Stratified random sample error
Step-by-step explanation:
When you use stratified sampling, you divide the total population or universe into strata (non-overlapping homogeneous groups). Then you draw a simple random sample (SRS) from each stratum (singular of strata).
You must make sure that your strata does not overlap, e.g. Latinos are not a race, but a culture and they come in all colors (whites, native indigenous, blacks, even Asians). That is why sometimes the term non-Hispanic whites is used.
Another reason why the sampling error might have occurred is that not all Caucasians are white, e.g. Arabs, people from northern Africa and most middle eastern Jews are considered Caucasians but their skin is tanned and it can be as dark as the skin of a Native American.
The US census only recognizes 5 races:
- Whites (includes Hispanic whites and other Caucasians)
- African Americans
- American Indian or Alaska Native
- Asian
- Native Hawaiian or Other Pacific Islander
- the sixth category is two or more races
As you can see, there is a lot of room for mistakes when you try to categorize people into races.
So here, you just put in the value inside the parenthesis of the function into the actual function itself.
Here, for h(f(2)), the first one to put in is the one in f, which is 2.
Since f(x) = 3*2^x, and since x here is equal to 2, (because h(f(2)), we can just put in the 2 in place of the x.
3 * 2 ^ 2
And then you get:
3 * 4
Or 12.
So now you have
h(12)
Now do the same thing.
2 * 12 - 7
24 - 7
17
✨Vines vines vines vines vines vines vines✨
Sq root (54) =
sq root (9*5) =
3 * sq root (5)
C 1/2 is the correct answer
