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).
Answer:
D. 1000 meters
Step-by-step explanation:
(39370 in)/(39.37 in/m) = (39.37×1000)/(39.37) m = 1000 m
Variable squared minus negative 2
Answer:
The answer is 2 times x.
Step-by-step explanation:
X is the number of students. If each of the student received 2 pencils then you multiply 2 by the number of students.
Answer:

Step-by-step explanation:
We have been given that in a recent year, 304 of the approximately 300,000,000 people in the United States were struck by lightning.




Therefore, the probability that a randomly selected person in the United States will be struck by lightning this year is
.