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Chapter 3 - The Normal Distribution
6問 • 2年前
  • Oluwole Akande
  • 通報

    問題一覧

  • 1

    What is a Continuous Random Variable

    A variable (e.g. height of a flipped coin) that can take any of infinitely many values

  • 2

    What is a Discrete Random Variable

    A variable (e.g. number of heads flipped) that can take only one value

  • 3

    What is a Continuous Probabilitty Distribution

    A plot of the frequency of all of the discrete variables for all the possible values that the variable can take, where the area underneath is equal to 1

  • 4

    What is the Notation for a Normally Distributed Random Variable

    X ~ N(μ, σ²), where X is a normally distributed variable, μ is the population mean, and σ is the standard deviation

  • 5

    What are the Properties for the Normal Distribution

    Has parameters μ (population mean) and σ² (population variance), Is symmetrical about the mean, Mean = Median = Mode, Is a bell-shaped curve, Has asymptotes at the x axis, Has an area under the curve of 1, Has points of inflection at μ ± σ

  • 6

    How much of the data in a probability distribution lies within one, two, and three standard deviations

    Within a standard deviation of the mean - around 68%, Within two standard deviations of the mean - 95%, Within three standard deviations of the mean - 99.7%

  • All Maths Notation

    All Maths Notation

    Oluwole Akande · 72問 · 2年前

    All Maths Notation

    All Maths Notation

    72問 • 2年前
    Oluwole Akande

    Financial Ratio Analysis - Liquidity Ratios and Gearing

    Financial Ratio Analysis - Liquidity Ratios and Gearing

    Oluwole Akande · 9問 · 3年前

    Financial Ratio Analysis - Liquidity Ratios and Gearing

    Financial Ratio Analysis - Liquidity Ratios and Gearing

    9問 • 3年前
    Oluwole Akande

    Topic 6 - Further Mechanics - Glossary

    Topic 6 - Further Mechanics - Glossary

    Oluwole Akande · 8問 · 2年前

    Topic 6 - Further Mechanics - Glossary

    Topic 6 - Further Mechanics - Glossary

    8問 • 2年前
    Oluwole Akande

    Command Words

    Command Words

    Oluwole Akande · 26問 · 2年前

    Command Words

    Command Words

    26問 • 2年前
    Oluwole Akande

    Circuit Symbols

    Circuit Symbols

    Oluwole Akande · 15問 · 2年前

    Circuit Symbols

    Circuit Symbols

    15問 • 2年前
    Oluwole Akande

    Topic 4 - Materials - Upthrust and Viscosity

    Topic 4 - Materials - Upthrust and Viscosity

    Oluwole Akande · 5問 · 2年前

    Topic 4 - Materials - Upthrust and Viscosity

    Topic 4 - Materials - Upthrust and Viscosity

    5問 • 2年前
    Oluwole Akande

    Topic 5 - Waves and Particle Nature of Light - Ray Diagrams

    Topic 5 - Waves and Particle Nature of Light - Ray Diagrams

    Oluwole Akande · 5問 · 2年前

    Topic 5 - Waves and Particle Nature of Light - Ray Diagrams

    Topic 5 - Waves and Particle Nature of Light - Ray Diagrams

    5問 • 2年前
    Oluwole Akande

    Topic 8 - Nuclear and Particle Physics - Linear Accelerator and Particle Detectors

    Topic 8 - Nuclear and Particle Physics - Linear Accelerator and Particle Detectors

    Oluwole Akande · 14問 · 2年前

    Topic 8 - Nuclear and Particle Physics - Linear Accelerator and Particle Detectors

    Topic 8 - Nuclear and Particle Physics - Linear Accelerator and Particle Detectors

    14問 • 2年前
    Oluwole Akande

    Topic 10 - Space - Trigonometric Parallax

    Topic 10 - Space - Trigonometric Parallax

    Oluwole Akande · 8問 · 2年前

    Topic 10 - Space - Trigonometric Parallax

    Topic 10 - Space - Trigonometric Parallax

    8問 • 2年前
    Oluwole Akande

    Topic 7 - Electric and Magnetic Fields - Glossary

    Topic 7 - Electric and Magnetic Fields - Glossary

    Oluwole Akande · 7問 · 2年前

    Topic 7 - Electric and Magnetic Fields - Glossary

    Topic 7 - Electric and Magnetic Fields - Glossary

    7問 • 2年前
    Oluwole Akande

    Chapter 7 - Electric and Magnetic Fields - Coulomb's Law

    Chapter 7 - Electric and Magnetic Fields - Coulomb's Law

    Oluwole Akande · 7問 · 2年前

    Chapter 7 - Electric and Magnetic Fields - Coulomb's Law

    Chapter 7 - Electric and Magnetic Fields - Coulomb's Law

    7問 • 2年前
    Oluwole Akande

    Chapter 7 - Electric and Magnetic Fields - Electric Field Strength

    Chapter 7 - Electric and Magnetic Fields - Electric Field Strength

    Oluwole Akande · 11問 · 2年前

    Chapter 7 - Electric and Magnetic Fields - Electric Field Strength

    Chapter 7 - Electric and Magnetic Fields - Electric Field Strength

    11問 • 2年前
    Oluwole Akande

    Chapter 7 - Electric and Magnetic Fields - Electric Potential

    Chapter 7 - Electric and Magnetic Fields - Electric Potential

    Oluwole Akande · 12問 · 2年前

    Chapter 7 - Electric and Magnetic Fields - Electric Potential

    Chapter 7 - Electric and Magnetic Fields - Electric Potential

    12問 • 2年前
    Oluwole Akande

    Chapter 7 - Electric and Magnetic Fields - Capacitor Discharge

    Chapter 7 - Electric and Magnetic Fields - Capacitor Discharge

    Oluwole Akande · 11問 · 2年前

    Chapter 7 - Electric and Magnetic Fields - Capacitor Discharge

    Chapter 7 - Electric and Magnetic Fields - Capacitor Discharge

    11問 • 2年前
    Oluwole Akande

    問題一覧

  • 1

    What is a Continuous Random Variable

    A variable (e.g. height of a flipped coin) that can take any of infinitely many values

  • 2

    What is a Discrete Random Variable

    A variable (e.g. number of heads flipped) that can take only one value

  • 3

    What is a Continuous Probabilitty Distribution

    A plot of the frequency of all of the discrete variables for all the possible values that the variable can take, where the area underneath is equal to 1

  • 4

    What is the Notation for a Normally Distributed Random Variable

    X ~ N(μ, σ²), where X is a normally distributed variable, μ is the population mean, and σ is the standard deviation

  • 5

    What are the Properties for the Normal Distribution

    Has parameters μ (population mean) and σ² (population variance), Is symmetrical about the mean, Mean = Median = Mode, Is a bell-shaped curve, Has asymptotes at the x axis, Has an area under the curve of 1, Has points of inflection at μ ± σ

  • 6

    How much of the data in a probability distribution lies within one, two, and three standard deviations

    Within a standard deviation of the mean - around 68%, Within two standard deviations of the mean - 95%, Within three standard deviations of the mean - 99.7%