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

動詞の使い分けがわからないです😭

EXERCISE 20➤Looking at grammar. (Chart 5-6) Choose the correct completions. 1. The United States has have a population of around 325 million. an established and respected newspaper. a branch of mathematics. (2.) The New York Times: C:C/DC Caree 3. Statistics is/are 4. The statistics in that report on oil production :C:MKEKECRETKEY) incorrect.* 5. Fifty minutes is are the maximum length of time for the test. 6. Rabies (is) are an infectious and often fatal disease. The blind wants / want us to treat them the same way we treat everyone else. talking with people 8. French is are somewhat similar to Spanish, isn't it / aren't they? The French is are proud, independent people. 10. Does/Do the police have training in mental health issues? 1. Thirty dollars is an unreasonable price for that T-shirt. 12. Four hours of skiing provides / provide plenty of exercise. EXERCISE 21 ▸ Game. are (Chart 5-6) Work in teams. Choose the correct words (or numbers). Then complete the sentences with is or are. 1. The Scots /The Irish The English and Cambridge. 2. Statistics/Linguistics / Physics 3. Diabetes/Measles / Mumps 4. English / French / Afrikaans 5. People from Canada. called are famous for educational institutions like Oxford the study of the structure and nature of language. a blood-sugar illness. the official language of Namibia. Canadas/Canadians / Canadese. covered by water, but drinkable. 6. Approximately 60% / 70% / 80% of the earth only 1% / 10% / 20% of the earth's water 7. 312 x .5+ 100 227/275/256. 8. The United Arab Emirates/The Netherlands/The Philippines Hemisphere (i.e., north of the equator). in the Northern 9. Fish/Whales / Cattle not mammals. 10. Five hundred thousand + five hundred thousand ten hundred / one million / one billion. 11. Macy's/Harrods / Hudson's Bay a department store that began in London. *Statistics is singular when it refers to a field of study (e.g., Statistics is an interesting field of study.). When it refers to particular numbers, it is used as a count noun: singular one statistic (no final -s); plural = two statistics. For example, This

②の答えの分散の求め方の意味を教えてほしいです

2.9 47,61,77, 74, 60, 43 の6つの標本があるとき, ① 平均,②分 散 ③ メディアン, ④ 標準偏差をそれぞれ求めなさい。 2.10 次の5個のデータの平均,標準偏差および中央値を求めなさい。 28, 23, 26, 27, 21 のデータが (13) (24) (32) のように3組あるものとす

至急です！ここの問題の回答を2番のところをmost of my friends にしたのですがこれでも良い気がするのですがどうでしょうか？

276 ロロロ done it yet. (法政大学 277

この設問1の英文のように設問2ではtable2をみて英作文をしなければならないのですが、全くどう始めたら良いか分からないので教えて頂きたいです。

第2問 2019 Percentage Total population (including foreign residents) 2019* change in population 2000-2019 (%) Prefecture (alphabetical order) 2010 2000 +1.76 5,104,000 5,015,699 5,071,968 -10.31 Fukuoka 1,602,000 Kagoshima 1,786,194 1,706,242 -5.99 1,748,000 Kumamoto 1,859,344 1,817,426 -8.29 1,073,000 Miyazaki 1,170,007 28 1,135,233 -12.50 1,327,000 Nagasaki 1,516,523 1,426,779 -7.05 1,135,000 Oita 1,221,140 1,196,529 +10.22 1,453,000 Okinawa 1,318,220 1,392,818 -7.03 815,000 Saga 876,654 849,788 -3.43 14,257,000 All Kyushu 14,763,781 14,596,783 * estimated data Data adapted from: Statistics Dashboard, Statistics Bureau, Ministry of Internal Affairs and Communications. Retrieved on June 25, 2020 from https://dashboard.e-stat.go.jp/en/ TABLE 2: Average number of elementary school students per elementary school in Japan in 2000, 2010 and 2019 Average number of elementary school students per Number of elementary Number of elementary Year school students schools elementary school 2000 7,366,079 24,106 305.6 2010 6,993,376 22,000 317.9 2019 6,368,550 19,738 322.7 Data adapted from:

自分のやり方がなぜ間違っているのか分かりません… kを使わず、すべてnで表しました。どなたかわかる方いらっしゃるでしょうか🙇‍♀️🙏

n本(nは3以上の整数)のくじの中に当たりくじとはずれくじがあり, そのうち 149 の2本がはずれくじである。 このくじを1本ずつ引いていき, 2本目のはずれく じを引いたとき、 それまでの当たりくじの本数をxとする。Xの期待値 E(X) と 分散V(X)を求めよ。 ただし, 引いたくじはもとに戻さないものとする。 【類新潟大)Cp.611 EX97 練習 0 2(as) X 2 2 Cas)(h=) Phca) hent)(as) heu-( n 2 イ 2 X n. h-l hen-) (n-=)x 2 んln-)(h-2) 0+1+2 + Inーン) (1th-2)xn-ジv (ne)m-) 2. いーン メ. ncat) ECX) ) 1+ + + f aム-4 んln-リ (n-2) (n-)cn3X2ん-5) ncu-) ncae)cn-3)(-ムー5)-(n-ょ) cn-1) n'ca-l) h

休み中の宿題で、テーマは 「日本の良い所と悪い所」です。 英語が得意な方、添削をお願いします🙇‍♀️ 中2なので出来るだけ簡単な英語表現でお願いします！

『 - 王議 66,た7 2ンータ ム 本二琶27メッみぅ の チョ7なmwをzer かの イ エニーフラ且 っ る た ・ 前・ す > @み プイgs がe cy (でgeeh-grd の eerr G ee ムみ 俳人277のかにイィんのひぃ7たたと 開・と、 (のcn 2eFe4 てo グー fe /wez enee。 の オフフーニャ rグ7トド ム デー er Vc ez4s の0 Zero 2 コ ] y 』 [手/28定胡測 eg Pen7 四 とぃ 枚をの。 と -ez』 の 0 1おすのっゃとチャ 。を7 2 前 29か eve をのーーのとを

チェック1の1、2、3の解答解説お願いします！日本語訳もできれば

work の てx nga has le李諸 nn. s。 ralia thrge (ime 15 (らars. ーー ouse for about 15 ni 公いが分が証 g合があり、 之 ちっている可能仁計 変わ 現在完了形と週去形は日 週去 もしれませんが、週 現在完アは今の刀況を示していま 過去の男実。 2 aner gare の 0 の 煙 ル /の SITI が 選ん aer as のre7 の がつき IO_On. ペ 考だしじで歌詞の訳を完成させまし (ha0) yoU ーー to exist 二の多を参考にして歌』 come* to show = co You nave smoking gn! の可能民主 arted を示しています) = ます。 含まれていま う順味合いが含ま 完成させなさい うに (B) の英文を完 Zczec7み (⑳) と (B) がほぼ同じ意味になるように (B) there noW。 7.⑳) pana Vet to Los Angeles, and she isnt her OO Angele寺 ⑥@) paa 0330 2 ⑳ So Care fo Japan twenty years ago, and he stil for twenty year 6 So II 3. ⑳ 7カey ca Ir third visit there. re back 7o New York ast week It was their third Visitt 1 @ 7ey three time のecん2 ーー TRG 区にならって / ) 内の動詞を過去形もしく は現在完了形にして英文を完成還 さ()。 You ca /eag のe (6wspaper | are g/egor Se9 (fnish ) ーーで9 が7Sカeg Joe 7 he 7 7S{ je twenty years ago. ( ねer forabank 回ecニーニー , but now he's retired.( Work ) 7O 放e SKereboargjng2 リ t' (not tr ) 上