Math Problem Statement

Suppose that the scores on a statewide standardized test are normally distributed with a mean of 69 and a standard deviation of 3. Estimate the percentage of scores that were: (a) between 66 and 72, (b) above 78, (c) below 66, (d) between 60 and 72.

Solution

To solve this problem, we need to use the properties of the normal distribution. The scores follow a normal distribution with a mean (μ) of 69 and a standard deviation (σ) of 3.

Formula:

To estimate percentages, we calculate the Z-scores using the formula:

Z=XμσZ = \frac{X - \mu}{\sigma}

Where:

  • XX is the value of interest
  • μ\mu is the mean (69)
  • σ\sigma is the standard deviation (3)

Now, let's break it down for each part:

(a) Between 66 and 72:

We find the Z-scores for 66 and 72.

For X=66X = 66:

Z=66693=33=1Z = \frac{66 - 69}{3} = \frac{-3}{3} = -1

For X=72X = 72:

Z=72693=33=1Z = \frac{72 - 69}{3} = \frac{3}{3} = 1

Using the Z-table or a standard normal distribution calculator, the area between Z=1Z = -1 and Z=1Z = 1 is approximately 68.27%.

So, approximately 68.27% of the scores are between 66 and 72.

(b) Above 78:

For X=78X = 78:

Z=78693=93=3Z = \frac{78 - 69}{3} = \frac{9}{3} = 3

The area to the right of Z=3Z = 3 is about 0.13%.

So, approximately 0.13% of the scores are above 78.

(c) Below 66:

For X=66X = 66:

Z=66693=1Z = \frac{66 - 69}{3} = -1

The area to the left of Z=1Z = -1 is about 15.87%.

So, approximately 15.87% of the scores are below 66.

(d) Between 60 and 72:

We calculate the Z-scores for 60 and 72.

For X=60X = 60:

Z=60693=93=3Z = \frac{60 - 69}{3} = \frac{-9}{3} = -3

For X=72X = 72:

Z=72693=1Z = \frac{72 - 69}{3} = 1

The area between Z=3Z = -3 and Z=1Z = 1 is the sum of the areas from Z=3Z = -3 to Z=0Z = 0 (which is 49.87%) and from Z=0Z = 0 to Z=1Z = 1 (34.13%).

So, the total area is 49.87% + 34.13% = 84.0%.

Final answers:

  • (a) 68.27%
  • (b) 0.13%
  • (c) 15.87%
  • (d) 84.00%

Would you like any further clarification or details on these calculations?

Related Questions:

  1. How does the Z-score help in interpreting the normal distribution?
  2. What is the empirical rule and how does it apply to this problem?
  3. How can we use a Z-table to calculate probabilities in a normal distribution?
  4. How do we calculate probabilities for values outside the mean in a normal distribution?
  5. What are the applications of normal distribution in standardized testing?

Tip: Always check if the question asks for approximate percentages or exact ones, as normal distribution tables often give approximate values.

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Math Problem Analysis

Mathematical Concepts

Normal Distribution
Probability
Z-Score

Formulas

Z = (X - μ) / σ

Theorems

Empirical Rule
Standard Normal Distribution

Suitable Grade Level

Grades 10-12