Answer: No,the company is not guilty.
Explanation: In the given case, Hines could not be considered guilty of price discrimination as the price charged from different shops was same. The free samples were distributed for the purpose of campaign and the discretion to which shop they want to provide lies completely with the company.
Price discrimination refers to the practice of charging different prices from different customer which the company have definitely not done.
Hence, Hines could not be charged of guilty of price discrimination.
Answer:
the journal entries used to record this transaction are:
Dr Accounts receivable 400
Cr Sales revenue 400
Dr Cost of goods sold 160
Cr Inventory 160
This transaction will increase net income, which increases retained earnings by $240. It will also increase assets by $240, since accounts receivable increases by $400, but inventory decreases by $160.
Answer:
The correct answer is letter "B": 3 to 12 years.
Explanation:
American car maker Tesla, Inc. specializes in manufacturing electric-fueled autonomous driving vehicles. Founder and Chief Executive Officer (<em>CEO</em>) Elon Musk is also the chief engineer and designer for most revolutionary Tesla car models. When it comes to its 2013 10-K United States Securities and Exchange Commission form, Tesla submitted a <em>3 to 12 years estimated depreciation for office furniture, machinery and equipment, 3 years for computer equipment and software, </em>and <em>30 years for building and building improvements.</em>
Discrimination is not applied at the concession stands because there can be exchange of the product from children, who'd buy it at a lower price, to adults.
Answer:
Demographic variable
Explanation:
Rhoda describes her typical customer as female between the ages of 22 and 35 with at least two years of college education and a household income above $50,000 annually. Rhoda is using demographic variables to describe her customers. A demographic variable is a variable that is collected by researchers to describe the nature and distribution of the sample used with deductive statistics, these are variables such as age, gender, educational level e.t.c. Rhoda describes her typical customer as female between the ages of 22 and 35 with at least two years of college education and a household income above $50,000 annually therefore Rhoda was formulating her customer profile by using information such as gender, age, education level and income level.
