Answer:
department store
Explanation:
A department store is a type of retailer that offers a wide range of diverse products. Each product group is classified into a department, thus the name "department store". When customers buy products, they usually check out near the exit of the whole department store, although there are some check-out counters in each department. Also, customer service is always present, mostly in the form of numerous sales clerks providing a helping hand.
They can include almost any range of products: toiletries, furniture, home decor, clothes, toys, hardware... Some famous examples are: Le Bon Marché in Paris, Selfridges in the UK, Macy's in the USA...
On the other hand, a <em>discount store</em> usually offers a broad product range, low prices, but little to none customer service. <em>Specialty stores</em> have a narrow target group as they offer a limited assortment.
Answer:
<em><u>Functional </u></em>
Explanation:
<em>Function</em><em>.</em><em> </em><em>a </em><em>relationship</em><em> </em><em>in </em><em>which </em><em>f</em><em>or </em><em>every </em><em>input</em><em> </em><em>there </em><em>exactly</em><em> </em><em>one </em><em>output</em><em>.</em>
Answer:
A. Time series
B. Cross Sectional
C. Panel
D. Cross Sectional
Explanation:
(a) Quarterly data on the level of U.S. new housing construction from 2000 to 2018, Time series data, numerical
(b) Data on number of doctor visits in 2018 for a sample of 192 individuals. Cross sectional data, numerical
(c) Data on annual health expenditures for each U.S. state from 2000 to 2018. Panel Data, Numerical
(d) Data on usual mode of transportation used to commute to work for a sample of 151 individuals. Categorical
Answer:
the beta of the second stock is 1.77
Explanation:
The beta of the second stock is shown below;
Investment in each = (1 ÷ 3)
Now as we know that
Portfolio beta = Respective investments × Respective weights
1 = (1 ÷ 3 × 1.23) + (1 ÷ 3 × beta of the second stock) + (1 ÷ 3 × 0)
We assume the Beta of risk-free assets would be zero
1 = 0.41 + (1 ÷ 3 × beta of the second stock)
The beta of the second stock is
= (1 - 0.41) × 3
= 1.77
Hence, the beta of the second stock is 1.77