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).
The awnser to this question is Macro Forecasts
Answer:
The predicted price of a 9 room house is $925.3 K.
Step-by-step explanation:
The regression equation for predicting the appraised value (in thousands of dollars) from the number of rooms for houses in East Meadow, New York is as follows:

Compute the price of a 9 room house as follows:


Thus, the predicted price of a 9 room house is $925.3 K.
The <span>ratio of adam's height to sam's height is 4:3. Therefore, Sam's height is 3/4 of adam's height. This is done by applying rules on ratios. We do as follows:
4 / 3 = adam's height / sam's height
sam's height = (3/4) adam's height
Hope this answers the question. Have a nice day.</span>
A,B,D are your answers :)