Comprehensive Mathematical Reference: Radicals, Exponents, Logarithms, Arithmetic Progressions, and Statistics

Properties of Radicals and Roots

  • Multiplication property of radicals:   a×b=a×b\sqrt{a \times b} = \sqrt{a} \times \sqrt{b}

  • Addition of like radicals:   ac+bc=(a+b)ca\sqrt{c} + b\sqrt{c} = (a + b)\sqrt{c}

  • Subtraction of like radicals:   acbc=(ab)ca\sqrt{c} - b\sqrt{c} = (a - b)\sqrt{c}

  • Product of two square roots:   a×b=a×b\sqrt{a} \times \sqrt{b} = \sqrt{a \times b}

  • Quotient property of radicals:   ab=ab\frac{\sqrt{a}}{\sqrt{b}} = \sqrt{\frac{a}{b}}

  • Product of terms with numerical or variable coefficients and radicals:   ac×bd=abcda\sqrt{c} \times b\sqrt{d} = ab\sqrt{cd}

  • Expansion of the square of a radical binomial (sum form):   (a+b)2=(a+b)+2ab(\sqrt{a} + \sqrt{b})^2 = (a + b) + 2\sqrt{ab}

  • Expansion of the square of a radical binomial (difference form):   (ab)2=(a+b)2ab(\sqrt{a} - \sqrt{b})^2 = (a + b) - 2\sqrt{ab}

  • Unnesting formula for square roots of radical expressions (sum form):   (a+b)+2ab=a+b\sqrt{(a + b) + 2\sqrt{ab}} = \sqrt{a} + \sqrt{b}

  • Unnesting formula for square roots of radical expressions (difference form):   (a+b)2ab=ab\sqrt{(a + b) - 2\sqrt{ab}} = \sqrt{a} - \sqrt{b}

    • Condition: aba \ge b

Properties of Exponents

  • Definition of positive integer exponents (repeated multiplication):   an=a×a××an timesa^n = \underbrace{a \times a \times \dots \times a}_{n\text{ times}}

  • Zero exponent rule:   a0=1a^0 = 1

    • Restriction: a0a \neq 0
  • Negative exponent rule (reciprocal representation):   an=1ana^{-n} = \frac{1}{a^n}

    • Restriction: a0a \neq 0
  • Product rule of exponents (multiplication with identical bases):   am×an=am+na^m \times a^n = a^{m+n}

  • Quotient rule of exponents (division with identical bases):   aman=amn\frac{a^m}{a^n} = a^{m-n}

    • Restriction: a0a \neq 0
  • Power of a product rule:   (a×b)n=an×bn(a \times b)^n = a^n \times b^n

  • Power of a quotient rule:   (ab)n=anbn\left(\frac{a}{b}\right)^n = \frac{a^n}{b^n}

    • Restriction: b0b \neq 0
  • Power of a power rule:   (am)n=am×n(a^m)^n = a^{m \times n}

  • Fractional exponent rule (conversion to radical expressions):   amn=amna^{\frac{m}{n}} = \sqrt[n]{a^m}

Properties and Laws of Logarithms

  • Fundamental definition of a logarithm:   ac=b    alog(b)=ca^c = b \iff {}^a\log(b) = c

    • Base conditions: a>0a > 0 and a1a \neq 1
    • Argument condition: b>0b > 0
  • Logarithm of 1:   alog(1)=0{}^a\log(1) = 0

  • Logarithm of the base:   alog(a)=1{}^a\log(a) = 1

  • Product law of logarithms:   alog(b×c)=alog(b)+alog(c){}^a\log(b \times c) = {}^a\log(b) + {}^a\log(c)

  • Quotient law of logarithms:   alog(bc)=alog(b)alog(c){}^a\log\left(\frac{b}{c}\right) = {}^a\log(b) - {}^a\log(c)

  • Power rule for the argument:   alog(bm)=m×alog(b){}^a\log(b^m) = m \times {}^a\log(b)

  • Power rule for both base and argument:   anlog(bm)=mn×alog(b){}^{a^n}\log(b^m) = \frac{m}{n} \times {}^a\log(b)

  • Power rule for the base:   anlog(b)=1n×alog(b){}^{a^n}\log(b) = \frac{1}{n} \times {}^a\log(b)

  • Change of base formula using an arbitrary positive base pp:   alog(b)=plog(b)plog(a){}^a\log(b) = \frac{{}^p\log(b)}{{}^p\log(a)}

  • Reciprocal base relation:   alog(b)=1blog(a){}^a\log(b) = \frac{1}{{}^b\log(a)}

  • Exponential-logarithmic identity:   aalog(b)=ba^{{}^a\log(b)} = b

  • Chain rule / multiplication property of composite logarithms:   alog(b)×blog(c)×clog(d)=alog(d){}^a\log(b) \times {}^b\log(c) \times {}^c\log(d) = {}^a\log(d)

Arithmetic Sequences and Series

  • Common difference (bb) formula between adjacent terms:   b=UnUn1b = U_n - U_{n-1}

  • General formula for the nn-th term (UnU_n) of an arithmetic sequence:   Un=a+(n1)bU_n = a + (n - 1)b

    • aa: First term of the sequence (a=U1a = U_1
    • bb: Common difference
    • nn: Position index of the target term
  • Formula for the sum of the first nn terms (SnS_n) using first term and common difference:   Sn=n2(2a+(n1)b)S_n = \frac{n}{2}\left(2a + (n - 1)b\right)

  • Formula for the sum of the first nn terms (SnS_n) using first and last terms:   Sn=n2(a+Un)S_n = \frac{n}{2}\left(a + U_n\right)

  • Formula for the middle term (UtU_t) in an arithmetic sequence with an odd number of terms:   Ut=a+Un2U_t = \frac{a + U_n}{2}Ut=U1+Un2U_t = \frac{U_1 + U_n}{2}

    • Position index of the middle term: t=n+12t = \frac{n + 1}{2}
  • Formula to find the nn-th term (UnU_n) using sequence partial sums:   Un=SnSn1U_n = S_n - S_{n-1}

Fundamentals of Statistics

  • Statistical analysis involves the systematic collection, organization, presentation, analysis, and interpretation of numerical data sets.

  • Measures of Central Tendency:

    • Mean: The arithmetic average, defined as the sum of all numerical values divided by the sample size nn.
    • Median: The central observation value separating the upper half from the lower half of an ordered data array.
    • Mode: The specific value or values that appear with the highest frequency in a data set.
  • Measures of Dispersion:

    • Range: The total numerical spread, calculated as the absolute difference between the maximum and minimum observations.
    • Variance: The average squared deviation of each quantitative value from the mean.
    • Standard Deviation: The square root of the variance, measuring absolute spread in original data units.

Sifat-Sifat Bentuk Akar dan Akar

  • Sifat perkalian bentuk akar: a×b=a×b\sqrt{a \times b} = \sqrt{a} \times \sqrt{b}
  • Penjumlahan bentuk akar sejenis: ac+bc=(a+b)ca\sqrt{c} + b\sqrt{c} = (a + b)\sqrt{c}
  • Pengurangan bentuk akar sejenis: acbc=(ab)ca\sqrt{c} - b\sqrt{c} = (a - b)\sqrt{c}
  • Perkalian dua akar kuadrat: a×b=a×b\sqrt{a} \times \sqrt{b} = \sqrt{a \times b}
  • Sifat pembagian bentuk akar: ab=ab\frac{\sqrt{a}}{\sqrt{b}} = \sqrt{\frac{a}{b}}
  • Perkalian suku dengan koefisien numerik atau variabel dan bentuk akar: ac×bd=abcda\sqrt{c} \times b\sqrt{d} = ab\sqrt{cd}
  • Pengembangan kuadrat dari binomial bentuk akar (bentuk penjumlahan): (a+b)2=(a+b)+2ab(\sqrt{a} + \sqrt{b})^2 = (a + b) + 2\sqrt{ab}
  • Pengembangan kuadrat dari binomial bentuk akar (bentuk pengurangan): (ab)2=(a+b)2ab(\sqrt{a} - \sqrt{b})^2 = (a + b) - 2\sqrt{ab}
  • Rumus menyederhanakan akar dalam akar (bentuk penjumlahan): (a+b)+2ab=a+b\sqrt{(a + b) + 2\sqrt{ab}} = \sqrt{a} + \sqrt{b}
  • Rumus menyederhanakan akar dalam akar (bentuk pengurangan): (a+b)2ab=ab\sqrt{(a + b) - 2\sqrt{ab}} = \sqrt{a} - \sqrt{b}
  • Syarat: aba \ge b

Sifat-Sifat Eksponen

  • Definisi eksponen bulat positif (perkalian berulang): an=a×a××an kalia^n = \underbrace{a \times a \times \dots \times a}_{n\text{ kali}}
  • Aturan eksponen nol: a0=1a^0 = 1
    • Syarat: a0a \neq 0
  • Aturan eksponen negatif (pangkat negatif): an=1ana^{-n} = \frac{1}{a^n}
    • Syarat: a0a \neq 0
  • Sifat perkalian eksponen (perkalian dengan basis sama): am×an=am+na^m \times a^n = a^{m+n}
  • Sifat pembagian eksponen (pembagian dengan basis sama): aman=amn\frac{a^m}{a^n} = a^{m-n}
    • Syarat: a0a \neq 0
  • Sifat perpangkatan dari perkalian: (a×b)n=an×bn(a \times b)^n = a^n \times b^n
  • Sifat perpangkatan dari pembagian: (ab)n=anbn\left(\frac{a}{b}\right)^n = \frac{a^n}{b^n}
    • Syarat: b0b \neq 0
  • Sifat pemangkatan eksponen: (am)n=am×n(a^m)^n = a^{m \times n}
  • Sifat eksponen pecahan (konversi ke bentuk akar): amn=amna^{\frac{m}{n}} = \sqrt[n]{a^m}

Sifat-Sifat dan Hukum Logaritma

  • Definisi dasar logaritma: ac=b    alog(b)=ca^c = b \iff {}^a\log(b) = c
    • Syarat basis: a>0a > 0 dan a1a \neq 1
    • Syarat numerus: b>0b > 0
  • Logaritma dari 1: alog(1)=0{}^a\log(1) = 0
  • Logaritma dari basisnya sendiri: alog(a)=1{}^a\log(a) = 1
  • Sifat penjumlahan/perkalian logaritma: alog(b×c)=alog(b)+alog(c){}^a\log(b \times c) = {}^a\log(b) + {}^a\log(c)
  • Sifat pengurangan/pembagian logaritma: alog(bc)=alog(b)alog(c){}^a\log\left(\frac{b}{c}\right) = {}^a\log(b) - {}^a\log(c)
  • Sifat pangkat pada numerus: alog(bm)=m×alog(b){}^a\log(b^m) = m \times {}^a\log(b)
  • Sifat pangkat pada basis dan numerus: anlog(bm)=mn×alog(b){}^{a^n}\log(b^m) = \frac{m}{n} \times {}^a\log(b)
  • Sifat pangkat pada basis: anlog(b)=1n×alog(b){}^{a^n}\log(b) = \frac{1}{n} \times {}^a\log(b)
  • Rumus mengubah basis logaritma dengan basis positif sembarang pp: alog(b)=plog(b)plog(a){}^a\log(b) = \frac{{}^p\log(b)}{{}^p\log(a)}
  • Hubungan kebalikan basis logaritma: alog(b)=1blog(a){}^a\log(b) = \frac{1}{{}^b\log(a)}
  • Identitas eksponen-logaritma: aalog(b)=ba^{{}^a\log(b)} = b
  • Sifat perkalian / aturan rantai logaritma: alog(b)×blog(c)×clog(d)=alog(d){}^a\log(b) \times {}^b\log(c) \times {}^c\log(d) = {}^a\log(d)

Barisan dan Deret Aritmatika

  • Rumus beda (bb) antara suku-suku berurutan: b=U<em>nU</em>n1b = U<em>n - U</em>{n-1}
  • Rumus umum suku ke-nn (U<em>nU<em>n) dari barisan aritmatika: U</em>n=a+(n1)bU</em>n = a + (n - 1)b
    • aa: Suku pertama dari barisan (a=U1a = U_1
    • bb: Beda
    • nn: Indeks posisi suku yang dicari
  • Rumus jumlah nn suku pertama (S<em>nS<em>n) menggunakan suku pertama dan beda: S</em>n=n2(2a+(n1)b)S</em>n = \frac{n}{2}\left(2a + (n - 1)b\right)
  • Rumus jumlah nn suku pertama (S<em>nS<em>n) menggunakan suku pertama dan suku terakhir: S</em>n=n2(a+Un)S</em>n = \frac{n}{2}\left(a + U_n\right)
  • Rumus suku tengah (U<em>tU<em>t) pada barisan aritmatika dengan jumlah suku ganjil: U</em>t=a+U<em>n2U</em>t = \frac{a + U<em>n}{2}, U</em>t=U<em>1+U</em>n2U</em>t = \frac{U<em>1 + U</em>n}{2}
    • Indeks posisi suku tengah: t=n+12t = \frac{n + 1}{2}
  • Rumus mencari suku ke-nn (U<em>nU<em>n) menggunakan jumlah parsial deret: U</em>n=S<em>nS</em>n1U</em>n = S<em>n - S</em>{n-1}

Dasar-Dasar Statistika

  • Analisis statistik melibatkan pengumpulan, pengorganisasian, penyajian, analisis, dan interpretasi himpunan data numerik secara sistematis.
  • Ukuran Pemusatan Data:
    • Mean (Rata-rata): Rata-rata hitung, didefinisikan sebagai jumlah semua nilai numerik dibagi dengan ukuran sampel nn.
    • Median: Nilai pengamatan tengah yang memisahkan separuh atas dari separuh bawah array data terurut.
    • Modus: Nilai spesifik yang paling sering muncul dalam suatu himpunan data.
  • Ukuran Penyebaran Data:
    • Jangkauan (Range): Total rentang numerik, dihitung sebagai selisih mutlak antara nilai pengamatan maksimum dan minimum.
    • Varians: Rata-rata kuadrat deviasi dari setiap nilai kuantitatif terhadap rata-rata.
    • Simpangan Baku (Standard Deviation): Akar kuadrat dari varians, mengukur penyebaran mutlak dalam satuan data asli.