I think the answer is A if I’m wrong I’m sorry ;-;
<h3>
Answer: Trapezoid</h3>
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Explanation:
There are two ways to do this problem.
Method 1 involves listing out the terms until we reach the seventh one.
- square
- hexagon
- trapezoid
- triangle
- square
- hexagon
- trapezoid
- triangle
We see that the trapezoid is term 7.
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Method 2 is faster and the one I recommend.
Since the pattern repeats every 4 items, this means we divide by 4 and look at the remainder. Ignore the quotient entirely.
7/4 = 1 remainder 3
The remainder 3 means that the answer is found in term 3, which is the trapezoid.
Answer:

Step-by-step explanation:
Convert the mixed number to the fraction:

METHOD 1:

METHOD 2:

It's a bit of both, actually.
9 ≥ n actually states that the quantity 9 is either greater than or equal to the value of the variable n.
Depending on how exact you mean, it's true and false, because 9 ≥ n technically includes 9 is more than a number, but it also could be 9 is equal to a number.
I'd say the answer is probably true, but it's a bit confusing.
Answer:
a) p-hat (sampling distribution of sample proportions)
b) Symmetric
c) σ=0.058
d) Standard error
e) If we increase the sample size from 40 to 90 students, the standard error becomes two thirds of the previous standard error (se=0.667).
Step-by-step explanation:
a) This distribution is called the <em>sampling distribution of sample proportions</em> <em>(p-hat)</em>.
b) The shape of this distribution is expected to somewhat normal, symmetrical and centered around 16%.
This happens because the expected sample proportion is 0.16. Some samples will have a proportion over 0.16 and others below, but the most of them will be around the population mean. In other words, the sample proportions is a non-biased estimator of the population proportion.
c) The variability of this distribution, represented by the standard error, is:
d) The formal name is Standard error.
e) If we divided the variability of the distribution with sample size n=90 to the variability of the distribution with sample size n=40, we have:

If we increase the sample size from 40 to 90 students, the standard error becomes two thirds of the previous standard error (se=0.667).