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TOEIC・English Undergraduate

このプリントの穴埋めをして英文和英しなさいという問題です。助けてください

英語2A レポート課題(2026年前期) 以下の英文中の( 内に入れるのに適切と思われる1語を、 下の 入れなさい。 そのうえで全文を和訳しなさい。 の中から選んで ite of national diger Most funny stories are based on comic situations. In spite of national differences, certain funny situations have a ( 1 ) appeal. No matter ( 2 ) you live, you would find (3) difficult not to laugh at, say, Charlie Chaplin's early films. However, a new type of humor, called 'sick humor', has come into fashion. The following example of 'sick humor' will enable you to judge for yourself. A man ( 4 ) had broken his right leg was taken to a hospital a few days before Christmas. From the moment he arrived there, he kept on annoying his doctor to tell him ( 5 ) he would be able to go home. He felt afraid ( 6 ) having to spend Christmas in the hospital. On Christmas Day, the man still had his right leg in plaster. He spent a miserable day in bed thinking of all the ( 7 ) he was missing. The following day, however, the doctor consoled him by telling that his chances of being able to leave the hospital ( 8 ) time for New Year Celebrations were ( 9 ). The man took heart and, sure enough, on New Year's Eve he managed to walk along to a party. To ( 10 ) for his unpleasant experiences in the hospital, the man drank a little more than was good for him. He was still grumbling about hospitals at the end of the party when he slipped on a piece of ice and broke his left leg. blame compensate money yourself where of in at by with fun good whose who it when special universal

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TOEIC・English Undergraduate

この長文問題の答えと解説をお願いします。

15 語数: 398 語 出題校 法政大 5 We are already aware that our every move online is tracked and analyzed. But you 2-53 couldn't have known how much Facebook can learn about you from the smallest of social interactions - a 'like'*. (1) Researchers from the University of Cambridge designed (2) a simple machine-learning 2-54 system to predict Facebook users' personal information based solely on which pages they had liked. E "We were completely surprised by the accuracy of the predictions," says Michael 2-55 Kosinski, lead researcher of the project. Kosinski and colleagues built the system by scanning likes for a sample of 58,000 volunteers, and matching them up with other 10 profile details such as age, gender, and relationship status. They also matched up those likes with the results of personality and intelligence tests the volunteers had taken. The team then used their model to make predictions about other volunteers, based solely on their likes. The system can distinguish between the profiles of black and white Facebook users, 15 getting it right 95 percent of the time. It was also 90 percent accurate in separating males and females, Democrats and Republicans. Personality traits like openness and intelligence were also estimated based on likes, and were as accurate in some areas as a standard personality test designed for the task. Mixing what a user likes with many kinds of other data from their real-life activities could improve these predictions even more. 20 Voting records, utility bills and marriage records are already being added to Facebook's database, where they are easier to analyze. Facebook recently partnered with offline data companies, which all collect this kind of information. This move will allow even deeper insights into the behavior of the web users. 25 30 (3) - Sarah Downey, a lawyer and analyst with a privacy technology company, foresees insurers using the information gained by Facebook to help them identify risky customers, and perhaps charge them with higher fees. But there are potential benefits for users, too. Kosinski suggests that Facebook could end up as an online locker for your personal information, releasing your profiles at your command to help you with career planning. Downey says the research is the first solid example of the kinds of insights that can be made through Facebook. "This study is a great example of how the little things you do online show so much about you,” she says. "You might not remember liking things, " but Facebook remembers and (4) it all adds up.", * a 'like': フェイスブック上で個人の好みを表示する機能。 日本語版のフェイスブックでは「いいね!」 と表記される。 2-56 2-57 2-58 36

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Political economics Senior High

教えてください。

2. 端数期間がある場合の計算 (巻頭の数表を用いる) 例題1 複利終価 複利利息を求める計算 ・元金¥32,460,000を年利率4.5%。 1年/期の複利で9年3か月間貸し付けると、期日に受け取る 元利合計はいくらか。 ただし、端数期間は単利法による。(計算の最終で円未満4捨5入) <解説> 4.5%, 9期の複利終価率・・・1.48609514 ¥32,460,000×1.48609514×(1+0.045×2)= <キー操作> 045 × 3 12 + 1 1101125 |=¥48,781,333 答 ¥48,781,333 32,460,000 x 1.48609514 目 〈注意〉 問題の指示どおりに端数処理を行う。 例題2 複利現価を求める計算 3年4か月後に支払う負債¥87,320,000を年利率6%, 半年/期の複利で割り引いて、いま支払 えばその金額はいくらか。 ただし、端数期間は真割引による。 (計算の最終で¥100未満切り上げ) 《解説》真割引とは割引料の計算方法の一つで、期日受払高から現価を算出し、その現価を期日受払高から 差し引いた金額を割引料とするものである。 複利現価=期日受払高×複利現価率÷(1+利率×端数期間) 3%, 6期の複利現価率 0.83748426 ¥87,320,000×0.83748426÷(1+0.03×1/6)=¥71,695,300(¥100未満切り上げ) <キー操作>03 × 4 日 6 + 1 M 87,320,000 83748426 MR 〈注意〉 問題の指示どおりに端数処理を行う。 ◆練習問題◆ →3.5 x2=6317 答 ¥71,695,300 (1)元金¥17,290,000を年利率7%, 半年/期の複利で3年3か月間貸し付けると,期 日に受け取る元利合計はいくらか。 ただし, 端数期間は単利法による。 (計算の最終で円未満4捨5入) 1,00875 答 (2)元金¥56,480,000を年利率5%/年/期の複利で 12年9か月間貸し付けると, 複利利息はいくらか。 ただし, 端数期間は単利法による。 ( 計算の最終で円未満4捨5入) 86 答 3) 7年6か月後に支払う負債 ¥84,060,000を年利率6%,/年/期の複利で割り引い ていま支払うとすればその金額はいくらか。 ただし、端数期間は真割引による。 (計算の最終で100未満切り上げ) 答 18年3か月後に支払う負債 ¥35,710,000を年利率5%, 半年/期の複利で割り引い 二、いま支払うとすればその金額はいくらか。 ただし、端数期間は真割引による。 計算の最終で100未満切り上げ) 問題の解答 ¥21,625,767 (2)¥48,753,589 (3)¥54,276,500 (4)¥23,758,200 答

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