Questions: Mr. Emmer gave a test in his Chemistry class. The scores were normally distributed with a mean of 82 and a standard deviation of 4. A student is randomly chosen. What is the probability that the student scores a 70 or below? Use the formula for a z-score z=(x-μ)/σ where x is the given value, μ is the mean and σ is the standard deviation. Then refer to the chart on page 11 of the lesson to find the probability. a. 0013 b. 0179 c. 0668 d. 5000

Mr. Emmer gave a test in his Chemistry class. The scores were normally distributed with a mean of 82 and a standard deviation of 4. A student is randomly chosen. What is the probability that the student scores a 70 or below? Use the formula for a z-score z=(x-μ)/σ where x is the given value, μ is the mean and σ is the standard deviation. Then refer to the chart on page 11 of the lesson to find the probability.
a. 0013
b. 0179
c. 0668
d. 5000
Transcript text: Mr. Emmer gave a test in his Chemistry class. The scores were normally distributed with a mean of 82 and a standard deviation of 4. A student is randomly chosen. What is the probability that the student scores a 70 or below? Use the formula for a $z$-score $z=\frac{x-\mu}{\sigma}$ where x is the given value, $\mu$ is the mean and $\sigma$ is the standard deviation. Then refer to the chart on page 11 of the lesson to find the probability. a. 0013 b. 0179 c. 0668 d. 5000
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Solution

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Solution Steps

Step 1: Calculate the Z-Score

To find the probability that a student scores 70 or below, we first calculate the Z-score using the formula:

\[ z = \frac{X - \mu}{\sigma} \]

where:

  • \( X = 70 \) (the score we are interested in),
  • \( \mu = 82 \) (the mean score),
  • \( \sigma = 4 \) (the standard deviation).

Substituting the values, we have:

\[ z = \frac{70 - 82}{4} = \frac{-12}{4} = -3.0 \]

Thus, the Z-score for the value 70 is \( z = -3.0 \).

Step 2: Calculate the Probability

Next, we calculate the probability that a student scores 70 or below. This is represented as:

\[ P(X \leq 70) = \Phi(z_{end}) - \Phi(z_{start}) \]

In this case, \( z_{end} = -3.0 \) and \( z_{start} = -\infty \). The cumulative distribution function \( \Phi(z) \) gives us the probability associated with a Z-score. Therefore, we have:

\[ P(X \leq 70) = \Phi(-3.0) - \Phi(-\infty) \]

From standard normal distribution tables or calculations, we find:

\[ \Phi(-3.0) \approx 0.0013 \quad \text{and} \quad \Phi(-\infty) = 0 \]

Thus, the probability is:

\[ P(X \leq 70) = 0.0013 - 0 = 0.0013 \]

Final Answer

The probability that a student scores 70 or below is

\[ \boxed{0.0013} \]

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