Answer:
D) cause the quantity demanded to exceed the quantity supplied of rental housing.
Explanation:
A price ceiling is a binding government regulation in which it puts a cap on the price landlords can charge tenants to rent their properties. If this happens, there could be a rapid significant increase in the demand of apartments. This would lead to excess demand that the existing supply cannot meet , creating a shortage. The property owners may also choose to not rent their apartment at that lower price driving the supply even lower.
Answer:
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Explanation:
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Answer:
PV = $9,245.56
Explanation:
Giving the following information:
Future value (FV)= $10,000
Number of periods (n)= 2 years
Discount rate (i)= 4% = 0.04
<u>To calculate the present value (PV), we need to use the following formula:</u>
<u></u>
PV = FV / (1 + i)^n
PV = 10,000 / (1.04^2)
PV = $9,245.56
The advertisement of the new toothpaste "tidy" that provides highly valid research information is an example of scientific execution style. It is a type of marketing style that uses research or scientific<span> evidence to give a brand superiority over competitors. The consumer gets scientific information about the product.</span>
Answer:
Explanation:
Data given and notation
represent the sample mean
represent the standard deviation for the sample
sample size
represent the value that we want to test
represent the significance level for the hypothesis test.
t would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to determine if the mean is lower than 5600, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
We don't know the population deviation, so for this case is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:
(1)
t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".
Calculate the statistic
We can replace in formula (1) the info given like this: