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.
Answer:
industrial products
Explanation:
A company that does this and mostly favors a push strategy is usually selling industrial products. That is because a push strategy focuses on taking the product to the potential customer and showing them how it works as well as how it can benefit them, therefore pushing the product on them. Industrial Products are great for such a strategy since they require actual demonstration and can easily show the potential customer the actual value that the product can provide.
Answer:
reported as income for all three years is $7,000
Explanation:
given data
cost of the ending inventory = $181,000
market value inventory = $160,000
to find out
Shondee Corporation must add income
solution
we get here Income per year that is
Income per year = (Value under FIFO Method - Value Under Cost Method ) ÷ Number of year ..............................1
put here value we get
Income per year = 
Income per year = 
Income per year = $7000
so reported as income for all three years is $7,000
Answer:
easy i fk ow how to die dofbe hahaha eituw gutny
Answer: (b) -3.08
Explanation:
The relationship between the demand(q), price per unit product(p) and the disposable income,yd is given by the expression below;
q= 20ln(7yd-2p).
From the expression above, the marginal demand,
∂ q/∂ p is the differential of the equation of relationship between the demand, price and disposable income.
This involves considering the demand,q as the dependent variable and the price per unit product,p as the independent variable and the disposable income,yd is considered constant.
Therefore ,
∂ q/∂ p= (-40)÷(7yd-2p)
By substitution of
yd =$3000÷1000= $3
and p= $4
∂ q/∂ p= (-40)÷((7×$3)-(2×$4))
∂ q/∂ p= -40÷13= 3.08
Please see the attachment for knowledge on how ∂ q/∂ p was obtained.