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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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English Senior High

英語のこの問題の解答をおしえてほしいです。おねがいします!

・あなたは、外国人の知り合い (Jake) から、Eメールで質問を受け取りました。 この質問にわかりやすく答え る返信メールを、【 】に英文で書きなさい。 ・あなたが書く返信メールの中で、 Jake のEメール文中の下線部について,あなたがより理解を深めるため 下線部の特徴を問う具体的な質問を2つしなさい。 ・あなたが書く返信メールの中で【 】に書く英文の語数の目安は 40語~50語です。 解答は、解答用紙の裏面にあるEメール解答欄に書きなさい。なお、解答様の外に書かれたものは採点され ません。 ・解答が Jake のEメールに対応していないと判断された場合は、0点と採点されることがあります。Jake の E メールの内容をよく読んでから答えてください。 Hi! 】 の下の Best wishes, の後にあなたの名前を書く必要はありません。 Guess what! My parents gave me a camera for my birthday last week. I was very happy because I'd never ow ned a camera before. I take photos with it every day. I'll take a picture of you the next time I see you. Taking photos is great fun, but my camera has too many functions. I don't know how to use them all. Do you think cameras will become more popular in the future? Your friend, Jake Hi, Jake! Thank you Best wishes, for your e-mail.

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Mathematics Senior High

この問題の意味がわかりません。とくに⭐︎部分の計算の仕方が分からないので、教えてください。

なぜなのか ★★☆ 率 例題 第233 反復試行の確率の最大値から★★★☆ 6問の3択問題がある。 各問とも適当に解答するとき, 何問正解する確率 が最も大きくなるか。 232~235 思考プロセス 未知のものを文字でおく 6問のうちぇ問正解する確率をnの式で表す。. →pn= は式が複雑であるから, 関数とみて最大値を求めるのは難しい。 見方を変える nと+1の関係を調べる。 (ア) Dr<butt on1のとき く、 くい Dn+1 pn (nが大きくなると,も大きくなる) pn+1-p>0←差で考える > 1 ← 比で考える→ Dn+1 (nが大きくなると, pは小さくなる) →Þn+1−pn <0 の式の形から,差と比,どちらで考えるとよいか? とが ) Action n回起こる確率 PR の最大は, Pn+1 との大小を比べよ 1つの問題で正解する確率は である。 Pn 54 (D <1 pn 確率) であ pn+1 6! 25-n 1 3 26h 6 Ch. よって、6問のうちぇ問(nは0Sn≦6の整数)正解す る確率は W: 36-4 3h+6-h =36 反復試行の確率 n 26-n pn =6 3 C()() (3 n = 0,1,2,・・・, 5 において,n+1との比をとるとである。 r!(n-r)! 6! n!(6-n)! 26-n n! C 6 6! 26- pn (n+1)!(5-n)!」 36 n!(6-2 n)! 36 n!(6-n)! 25-n (n+1)!(5-n)! 26- 6-n 2(n+1) EXC (n+1)!= (n+1)xn! (6-n)!=(6-n)x(5-n)! いろいろな確率 (ア) Dn+1 6-n 1のとき ≥1 pn 2(n+1) 4 6-n≧2(n+1)より n≤ 3 Dn+1 よって, n=0,1のとき 2252 のは、 2(n+1)>0である。 >1より <butn=0 のとき かくか Dn 率) (イ) ■法 Dn+1 pn <1 のとき 6-n 2(n+1) <1 n=1のとき く 夏の 4 6-n<2(n+1)より n> 3 かのカー り出し、書かれて A 真 pn+1 よって, n=2,3,4,5 のとき, <1より n=2のとき 2>ps pn n=3のとき ps> pa n=4 のとき PA >Do 歌) Dn > Dn+1 (ア)(イ)より <<p>ps>pa>ps>D=5のときps > De 求 したがって,2問正解となる確率が最も大きい。 233 1個のさいころを10回投げるとき、1の目が何回出る確率が最も大きくなるか。 p.446 問題233 425 32

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English Senior High

接続詞の問題です、答えあってますでしょうか33、38番の訳がわかりません😭😭

WE DA 33. ( ) I started watching the tennis final, I could not do anything else until it ended. ④ Once だれ ③ For ① Althought ② During ) he is so talented, he cannot finish all the work he has now. 34. ( ① Despite 35. ( ② Because 3 Since ) she is short, she runs faster than any other student in my class. ① Even ② Therefore ① even if 36. I go jogging every morning, ( たとえ でも② except for ・キリスト ② despite <近畿大 ) < 神奈川大 > ⑦Although ④ Although ~だけれども ③ Thoughだけれど ④ If 〈杏林大〉 実際に雨が降っても降らなくてもジョギング 容が事実かわからない < 岩手医科大 > ~ 3 even thought ) they are not Christians. 4 unless < 金城学院大 〉 it's rainingy ③ in spite of ④ although 37. Many Japanese have a Christian style wedding, ( ①1 as if 38. ( ) as she was, Rosamond had no choice but to agree to his offer. 形 as SV ① According 2 As well lende③3 Known 誰も1人であるきたがらない! Reluctant 譲歩を表す〈松山大) - ~したくないSは~であるけれども 39. That road is ( ) nobody wants to walk along it. so+形 or 副 that ~ 1 so dangerous that ② such dangerous as とても~なので)(8 ③ very dangerous that such dangerous that 〈大東文化大 > ecal'him such a 形名 that 40. John was ( ) a good runner that we could nof catch ① enough 自分のコントロールを失うくらいおこっていた ③ such ② so 41.( ) was my anger that I lost control of myself. ① So 2 Such ver③Very とても~なので 4 very <東京理科大 > such that ~ほど AS 4 Great <福岡大〉

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