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英語 高校生

1問でも構いません教えてください🙇‍♀️

Every sentence has a mistake. Correct the mistake in each sentence. don't Fernando and Carlos doesn't have a car. Example: 1) Do you live in campus, with family, or with friends? 2) Susan doesn't like go to the library in the morning. 3) What time does class finishes in the afternoon? 4) I like to sing, but I can't a musical instrument. 5) I like to play ski in winter. 6) There aren't some coffee shops near here, I'm afraid. 7) Excuse me. Where's post office, please? 8) I like it here, but there are a lot of noise. 9) Turn left onto Main Street and it's to the left. 10) Hey! Is that your sunglasses over there? 11) How much this coffee, please? 12) I live behind of a large supermarket. Part V- Grammar (16 points) Write ONE word in the space to complete the sentences. 1) 2) 3) 4) 5) 6) 7) 8) 9) 10) 11) 12) 13) Go 14) Are 15) How 16) you work in Singapore? do they study there? My cousin My friend Helen "Do they study at university?" "No, they I like. My girlfriend study. He works. her homework in the library. play my guitar in the evening. There aren't How do I Is there a grocery store. aerobics, but she doesn't like yoga. he ski?" "No, he can't." there a good restaurant near the hotel? coffee shops in this street. to the City Hospital? here? ahead. It's next to the Italian coffee shop. shoes over there yours? is this pen? store is expensive. Let's go to another store.

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英語 高校生

この長文の解答を教えてほしいです! 自分の解答に自信がないのでよろしくお願いします

Questions 4-7 refer to the following letter. January 10 Ms. Erin Murphy Customer Service Department Westcoast Airlines Major Miles Program 345 Brook Street Dallas, TX 75218 sending y you my Dear Ms. Murphy, 6. itinerary and ticket number for my recent roundtrip flight from JFK International Airport to As per your request (during our telephone conversation on January 8, I am s business class with a Major Miles Gold Class voucher and should therefore be eligible for Los Angeles International Airport last December. Please note that my ticket was upgraded to full business class mileage credit. 1 my mileage credi I am a Gold member in the Major Miles program and have been a Westcoast customer for over 15 years. I must that voucher pla genuinely confusing. I fail to understand why the burden of proof for rests with me. Shouldn't this information be on your ticketing computer? Wnb This was my itinerary. Departed JFK, December 22 at 10:20 for LAX Returned to JFK from LAX on December 29 at 16:40 My ticket number was #YB42565697. My seat number was 14B. My Major Miles number is # 04356721 (Gold Card). I sincerely hope that this issue will be resolved quickly as I am counting on my miles earned during this trip to upgrade my hotel room next May. Thank you very much for your attention in this matter. Sincerely Yours, arred Watkins rrod Watkins ection II 読解 4. 5. Wh (A) (B) (C (D W (A ( C

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数学 大学生・専門学校生・社会人

統計学の知識ある方、以下にある式の導出方法分かりやすく教えていただきたいです。 分かるところだけでも教えてくれると嬉しいです😭 ちなみにこのサイトは、 統計学入門 http://www.snap-tck.com/room04/c01/stat/stat0001.html こ... 続きを読む

19:56 1 allệ (注3) 相関分析と同様に回帰分析の場合も信頼区間を求めることができま す。まずyの推測値の信頼区間は次のようになります。 この信頼区間は母集 団のy推測値の100(1-α) % が含まれる範囲を表し、信頼限界と呼ぶことが多 いようです。 y=a+b=(my-bmx)+bx = my+b(z-mz)→(j-my)=b(x-mz) VR VR V(j-my) = V(j)+V(my)-2C(j,my) = V(g) + -2 = V(y) - VR =V n n n =V(b(z-mx))=(x-m²) 2V(b)=(x-m²) 2VR S エエ (x - ₂)² 2V (6) - Vx{1+ (².²} =VR n S x=X0の時のy推測値の100(1-α)% 信頼限界: U Dol=a+bro ±t(n-2,a) VR -2,0)√| V₁ { 1/2 + ( 2 = m₂) ² } n S エ mx:xの標本平均 Sxx:xの平方和 VR : 残差分散 VR C(jj,my) = y推定値とmyの共分散 t(n-2, α): 自由度(n-2)のt n 分布における100α%点 この100(1-α)% 信頼限界において、x=mxの時の値を計算すると次のように なります。 VR ŷOL =a+bm±t(n-2,0) VR・ -2,0) √/ VR { 1 1 1 + (m₂ - m₂)² S エエ 2²}. =my±t(n-2,a)V n n これは値と残差分散が少し異なるだけで、 平均値の信頼限界(信頼区間) とほ ぼ同じ式であることがわかると思います。 つまり回帰直線は平均値を2次元 に拡張したものに相当し、 y推測値の信頼限界は平均値の信頼限界を2次元に 拡張したものに相当することになります。 次にyの信頼限界を求めてみましょう。 もしaとbに誤差がない、つまりy推 測値に誤差がないとすると次のようになります。 これが許容限界になりま す。 V(g) = V(g+c)=V(e) =VR x=x0の時のyの100(1-α) % 許容限界: gol =a+bro ±t(n-2,a)VVR you x=mxの時: gol = my±t(n-2,a) VVR しかし実際にはaとbには誤差があるので次のようになります。 これが棄却 限界です。 回帰分析の場合は棄却限界のことを予測限界 (prediction limit)と 呼びます。 (x-²)) S エ n n SII V(g+c)=V(g)+V(c) +2C(j,c)=VR /R { 1 + (*² =− m ₂) ² } + V₁ + 0 = VR { 1 + 1 2 + ( x − m ₂ )² ]} x=X0の時のyの100(1-α) % 予測限界: 1 (x-m₂)² yoz=a+bro ±t(n-2.0)/VR =t(n-2,α) √ -2,0) √/V₁ { 1 + 1 + n S エ U x=mxの時: yol = my ±t(n-2,a) 2, a) √/ VR (1+1) VR (1+ 安全ではありません - snap-tck.com

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