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Determine the magnitude of the rate at which the frame will accelerate under the action of these forces.

Physics

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2 parts
a
0.1
30
b
30

Step-by-step solution

5 steps

Huu hapa ni utatuzi wa ITEM 2:

Part a· 2 steps

Bainisha thamani ya kk na kisha bainisha idadi inayowezekana zaidi ya keki zinazouzwa kwa siku.

  1. Tafuta thamani ya kk.

    Jumla ya uwezekano wote katika usambazaji wa uwezekano lazima iwe sawa na 1.

    ∑P(X=x)=1\sum P(X=x) = 1 K+2.5k+3.5k+1.5k+1.5k=1K + 2.5k + 3.5k + 1.5k + 1.5k = 1 (1+2.5+3.5+1.5+1.5)k=1(1 + 2.5 + 3.5 + 1.5 + 1.5)k = 1 10k=110k = 1 k=110=0.1k = \frac{1}{10} = 0.1

    Thamani ya kk ni 0.1\boxed{0.1}.

  2. Bainisha idadi inayowezekana zaidi ya keki.

    Idadi inayowezekana zaidi ya keki inalingana na thamani ya XX yenye uwezekano mkubwa zaidi P(X=x)P(X=x).
    Tutahesabu uwezekano kwa kutumia k=0.1k=0.1:

    • P(X=10)=K=0.1P(X=10) = K = 0.1
    • P(X=20)=2.5k=2.5×0.1=0.25P(X=20) = 2.5k = 2.5 \times 0.1 = 0.25
    • P(X=30)=3.5k=3.5×0.1=0.35P(X=30) = 3.5k = 3.5 \times 0.1 = 0.35
    • P(X=40)=1.5k=1.5×0.1=0.15P(X=40) = 1.5k = 1.5 \times 0.1 = 0.15
    • P(X=50)=1.5k=1.5×0.1=0.15P(X=50) = 1.5k = 1.5 \times 0.1 = 0.15 Uwezekano mkubwa zaidi ni 0.35, ambao unalingana na kuuza keki 30. Idadi inayowezekana zaidi ya keki zinazouzwa kwa siku ni 30\boxed{30}.

Part b30

Tafuta idadi inayotarajiwa ya keki zinazouzwa kwa siku.

  1. Hesabu thamani inayotarajiwa E(X)E(X).

    Thamani inayotarajiwa E(X)E(X) inapatikana kwa fomula E(X)=∑x⋅P(X=x)E(X) = \sum x \cdot P(X=x).

    E(X)=(10×K)+(20×2.5k)+(30×3.5k)+(40×1.5k)+(50×1.5k)E(X) = (10 \times K) + (20 \times 2.5k) + (30 \times 3.5k) + (40 \times 1.5k) + (50 \times 1.5k)

    Badilisha k=0.1k=0.1 na uwezekano uliopatikana:

    E(X)=(10×0.1)+(20×0.25)+(30×0.35)+(40×0.15)+(50×0.15)E(X) = (10 \times 0.1) + (20 \times 0.25) + (30 \times 0.35) + (40 \times 0.15) + (50 \times 0.15) E(X)=1+5+10.5+6+7.5E(X) = 1 + 5 + 10.5 + 6 + 7.5 E(X)=30E(X) = 30

    Idadi inayotarajiwa ya keki zinazouzwa kwa siku ni 30\boxed{30}.

Part c· 2 steps

Chora mchoro wa kielelezo wa kazi ya usambazaji wa jumla (cumulative distribution function) kwa idadi ya keki zinazouzwa.

  1. Hesabu uwezekano wa jumla F(X)F(X).

    Kazi ya usambazaji wa jumla F(x)F(x) inafafanuliwa kama F(x)=P(X≤x)F(x) = P(X \le x).

    • F(10)=P(X≤10)=P(X=10)=0.1F(10) = P(X \le 10) = P(X=10) = 0.1
    • F(20)=P(X≤20)=P(X=10)+P(X=20)=0.1+0.25=0.35F(20) = P(X \le 20) = P(X=10) + P(X=20) = 0.1 + 0.25 = 0.35
    • F(30)=P(X≤30)=F(20)+P(X=30)=0.35+0.35=0.70F(30) = P(X \le 30) = F(20) + P(X=30) = 0.35 + 0.35 = 0.70
    • F(40)=P(X≤40)=F(30)+P(X=40)=0.70+0.15=0.85F(40) = P(X \le 40) = F(30) + P(X=40) = 0.70 + 0.15 = 0.85
    • F(50)=P(X≤50)=F(40)+P(X=50)=0.85+0.15=1.00F(50) = P(X \le 50) = F(40) + P(X=50) = 0.85 + 0.15 = 1.00
  2. Chora mchoro wa CDF.

    Kazi ya usambazaji wa jumla (CDF) kwa kigezo cha nasibu cha kipekee ni kazi ya hatua.

    • Kwa x<10x < 10, F(x)=0F(x) = 0.
    • Kwa 10≤x<2010 \le x < 20, F(x)=0.1F(x) = 0.1.
    • Kwa 20≤x<3020 \le x < 30, F(x)=0.35F(x) = 0.35.
    • Kwa 30≤x<4030 \le x < 40, F(x)=0.70F(x) = 0.70.
    • Kwa 40≤x<5040 \le x < 50, F(x)=0.85F(x) = 0.85.
    • Kwa x≥50x \ge 50, F(x)=1.00F(x) = 1.00.

    Mchoro utakuwa na mhimili wa xx unaowakilisha idadi ya keki (XX) na mhimili wa yy unaowakilisha uwezekano wa jumla (F(x)F(x)). Mchoro utaanza kwa F(x)=0F(x)=0 na kuruka hadi 0.1 kwenye x=10x=10, kisha kuruka hadi 0.35 kwenye x=20x=20, 0.70 kwenye x=30x=30, 0.85 kwenye x=40x=40, na hatimaye 1.00 kwenye x=50x=50, na kubaki 1.00 kwa maadili yote ya xx zaidi ya 50.

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