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A manufacturer knows that their items have a normally distributed length, with a mean of 10.3 inches, and standard deviation of 1.5 inches. If one item is chosen at random, what is the probability that it is less than 8.4 inches long? Leave your answer to 4 decimal places.

User Felker
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Final answer:

To find the probability of an item being less than 8.4 inches long in a normally distributed set with mean of 10.3 and standard deviation of 1.5, calculate the z-score and then find the corresponding probability from the z-table or a calculator. The probability is approximately 0.1020, or 10.20%.

Step-by-step explanation:

The student's question pertains to finding the probability that a randomly chosen item from a normally distributed set of items has a length less than a certain value. The steps to find this probability are as follows:

  1. Identify the mean (μ) and standard deviation (σ) of the normal distribution. In this case, μ = 10.3 inches and σ = 1.5 inches.
  2. Calculate the z-score of the desired measurement (8.4 inches) using the formula: z = (X - μ) / σ, where X is the value in question. Substituting the known values gives us z = (8.4 - 10.3) / 1.5.
  3. Compute the z-score, which is z = -1.27 (rounded to two decimal places).
  4. Using a standard normal distribution table, z-table, or a calculator with a normal distribution function, find the probability corresponding to the calculated z-score.
  5. The probability (P) of an item being less than 8.4 inches is then P(Z < -1.27).
  6. Looking up this z-score on the z-table or using a calculator, the probability is approximately 0.1020.

Therefore, the probability that one item is less than 8.4 inches long is 0.1020, or 10.20%.

User Dance Party
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