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).
There is a high probability don’t know if that we’ll help though
Answer:
h(a + 2) = 4a + 3
Step-by-step explanation:
∵ h(x) = 4x - 5
∴ h(a + 2) = 4(a + 2) - 5
∴ h(a + 2) = 4a + 8 - 5 = 4a + 3
1) 8y=-5x+12
y=-5/8x+3/2
2)2y=3x+7
y=3/2x+7/2
3)-3y=-2x+7
y=2/3-7/3x
4)-4y=16-12x
y=3x-4
5)-2y=-x+10
y=2x-5
Answer:
a) Discrete. It can be 2 or 3.
b) Continuous. It can be bigger than 700 hours.
Step-by-step explanation:
(a) The number of free dash throw attempts before the first shot is made free-throw attempts before the first shot is made.
Discrete variables assumes finite number of isolated values. We can count the number of free dash throw attempts before the first shot is made, therefore this variable is discrete.
b) The time it takes for a light bulb to burn out time, it takes for a light bulb to burn out.
Continuous variables assume a value in a range rather than a set of finite numbers. Time is not countable but measurable. Therefore this variable is continuous.