Answer:
A decrease in demand leads to a decrease in supply.
A decrease in price leads to a decrease in supply.
An increase in price leads to an increase in supply.
Explanation:
Supply refers to the volume of a product that sellers are willing to sell in the market at a given price. As per the law of supply, a higher price motivates sellers to avail more products in the markets. Sellers or suppliers are businesses and are motivated by higher profits. When prices are high, the profit margin will be high, which is an incentive for increased supply. Lower prices have lower margins, which is a risk to a business. Low prices result in reduced prices.
Supply is influenced by demand. If supply does not match demand, there will be either a shortage or excess supply in the market. When demand is low, sellers will reduce supply to avoid losses associated with excess supply .
Answer:
The probability is 1.
Explanation:
Despite that the he distribution is positively skewed, the distribution of sample means of one-bedroom apartments will still be a a normal distribution based on Central Limit Theorem.
Since we have
μ = mean = 2200
SD = standard deviation = 250
n = sample size = 50
Therefore,
Standard error = SD ÷ √n
= 250 ÷ √50
= 250 ÷ 7.07106781186548
= 35.3553390593274 approximately 35.36
Standardize xbar to z = (xbar - μ) ÷ (SD ÷ √n)
Therefore, we have:
P(xbar > 1,950) = P(z > (1,950 - 2200) ÷ 35.36)
= P(z > - 250 ÷ 35.36)
= P(z > -7.07) = 1
Therefore, the probability of selecting a sample of 50 one bedroom apartments is 1 which can be said to be certain.
Such considerations include understanding of:
the reasons for and objectives of sampling.
the relationship between accuracy and precision.
the reliability of estimates with varying sample size.
the determination of safe sample sizes for surveys.
the variability of data.
Answer: financial aid mostly
Explanation:
