Normal Distribution and Graphing Calculator
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Questions and Answers

What does the function normalcdf compute?

  • The mean of a normal distribution.
  • The area between two z-scores or raw x-values. (correct)
  • The area to the right of a single z-score.
  • The area under the curve for standard deviations only.
  • How would you calculate the area to the right of a z-score using normalcdf?

  • Use the z-score as the lower bound.
  • Set a lower bound of 0.
  • Choose a non-infinite upper bound.
  • Use a large upper bound, like 10^99. (correct)
  • For a normal distribution with a mean of 12 days and standard deviation of 3 days, how would you find the probability of exceeding 17 days?

  • normalcdf(17, 10^99, 12, 3) (correct)
  • normalcdf(-10^99, 17, 12, 3)
  • normalcdf(17, -10^99, 3, 12)
  • normalcdf(12, 17, 3, 12)
  • What value does invNorm(0.08, 4.2, 0.65) return in the context of a toaster's lifespan?

    <p>3.28 years</p> Signup and view all the answers

    What does invNorm(0.99, 0, 1) help to determine in a standard normal distribution?

    <p>The z-score corresponding to the top 1% of data.</p> Signup and view all the answers

    When calculating the area to the left of a z-score, which bound should be used in normalcdf?

    <p>-10^99 as the lower bound.</p> Signup and view all the answers

    If a standard normal curve has 1% of its area to the right of a certain z-score, how can the z-score be calculated?

    <p>Using either <code>invNorm(0.01, 0, 1)</code> or <code>invNorm(0.99, 0, 1)</code>.</p> Signup and view all the answers

    Why are calculator answers from normalcdf generally more precise than z-score table answers?

    <p>Calculators provide exact decimal results.</p> Signup and view all the answers

    Study Notes

    Normal Distribution and Graphing Calculator

    • The graphing calculator function normalcdf determines the area under a normal distribution curve between two z-scores or raw x-values.
    • normalcdf finds the area to the left of each z-score and subtracts the left area of the lower z-score from the left area of the upper z-score.
    • Use 10^99 as a large upper bound to find the area to the right of a z-score.
    • Use -10^99 as a large lower bound to find the area to the left of a z-score.
    • Calculator answers are generally more precise than z-score table answers.

    Using normalcdf to Calculate Probabilities

    • Example 1:
      • For a standard normal distribution, the probability between -0.85 and 2.31 is 0.792, calculated with normalcdf(-0.85, 2.31, 0, 1).
    • Example 2:
      • For a flu duration with a mean of 12 days and standard deviation of 3 days, the probability of duration exceeding 17 days is 0.05, found using normalcdf(17, 10^99, 12, 3).
    • Example 3:
      • For package delivery with a mean of 21 days and standard deviation of 5 days, the probability of delivery taking less than 15 days is 0.12, calculated with normalcdf(-10^99, 15, 21, 5).

    Using invNorm to Calculate Data Values Given Area

    • The invNorm function finds the data value corresponding to a given area to the left of that value in a normal distribution.
    • Example 1:
      • For toasters with a mean lifespan of 4.2 years and a standard deviation of 0.65 years, the warranty period to ensure no more than 8% replacement is 3.28 years (found with invNorm(0.08, 4.2, 0.65)). A 3-year warranty is recommended.
    • Example 2:
      • For a standard normal distribution, the z-score with 1% of the data above it is 2.33 (calculated using invNorm(0.99, 0, 1)).
    • Example 3:
      • For a standard normal curve, if 1% of the area lies to the right of a certain z-score, the z-score is 2.33 (calculated with invNorm(0.01, 0, 1) or invNorm(0.99, 0, 1))

    Remember

    • Ensure correct mean and standard deviation values are used in normalcdf and invNorm.
    • For invNorm, consider the appropriate tail (left, right, or center) based on the problem's context.

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    Description

    This quiz covers the use of the normalcdf function on a graphing calculator for calculating areas under the normal distribution curve. It includes examples of probability calculations and tips for determining areas to the left and right of z-scores. Enhance your understanding of normal distribution with practical calculator techniques.

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