[originaltext]The winter gift-giving season is responsible for twenty percent o

游客2023-08-10  24

问题  
The winter gift-giving season is responsible for twenty percent of all retail spending at American businesses. But how and when people buy holiday gifts is changing. Record numbers of Americans are turning to the Internet. More than 100 million people are expected to buy something online this holiday season.
[9] Traditionally, the biggest shopping day of the year was in late November on the day after Thanksgiving. People still call it “Black Friday”. The idea was that it could push businesses “into the black”—the traditional color for recording profits. Red is for debts. But now the busiest days are right before Christmas. Many people wait for last-minute price reductions.
With the rise of the Internet, the National Retail Federation came up with a new term. [10] “Cyber Monday” is the Monday after Thanksgiving. The idea is that many people look in stores over the weekend. Then, to save time, they order online—using the Internet at their jobs when they return back to work. Cyber Monday is a big day online. But market researchers at ComScore Networks reported that the biggest day of the holiday season so far was December thirteenth. The company said people spent almost 670 million dollars at American sites that day. That did not include travel sites.
[11] ComScore estimates that online spending during this holiday season will reach almost 25 billion dollars that is 25 percent over last year.
Online selling makes it easier for businesses to react to changing conditions. It costs less to change the advertising on a website than in stores.
Questions 9 to 11 are based on the passage you have just heard.
9.What does the speaker say about “Black Friday”?
10.What do people do before “Cyber Monday”?
11.How much money was spent on holiday online shopping last year?

选项 A、It is the most unlucky day in a year.
B、It is the busiest shopping day now.
C、It is the day after Thanksgiving.
D、It is the day before Christmas.

答案 C

解析
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