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IV. In a job fair, 3000 applicants applied for a job, their mean age was found to be 28 with standard deviation for 4 years. a. Draw a normal curve distribution showing the z-score and the raw scores. b. How many applicants are above 32 years old? c. How many have ages between 24 and 32 years?

Ask by Harmon Simmons. in the Philippines
Jan 24,2025

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Answer

- **a.** A normal distribution curve centered at 28 years with key points at 24 years (Z = -1), 28 years (Z = 0), and 32 years (Z = +1). - **b.** Approximately 476 applicants are older than 32 years. - **c.** Approximately 2,048 applicants are between 24 and 32 years old.

Solution

Let's address each part of the problem step by step. --- ## **Given:** - **Number of Applicants:** 3,000 - **Mean Age (μ):** 28 years - **Standard Deviation (σ):** 4 years --- ### **a. Drawing the Normal Curve Distribution with Z-scores and Raw Scores** While I can't provide a visual diagram here, I can describe how you would sketch the normal distribution curve with the relevant annotations. 1. **Draw the Axes:** - **Horizontal Axis (X-axis):** Represents the age of applicants. - **Vertical Axis (Y-axis):** Represents the probability density. 2. **Mark the Mean:** - Place a vertical line at **μ = 28 years** at the center of the curve. 3. **Identify and Mark Key Raw Scores:** - **One Standard Deviation Below the Mean (μ - σ):** 28 - 4 = **24 years** - **One Standard Deviation Above the Mean (μ + σ):** 28 + 4 = **32 years** - **Z-scores:** - For 24 years: \( Z = \frac{24 - 28}{4} = -1 \) - For 28 years: \( Z = \frac{28 - 28}{4} = 0 \) - For 32 years: \( Z = \frac{32 - 28}{4} = +1 \) 4. **Sketch the Bell Curve:** - The highest point is at the mean (28 years). - The curve is symmetric about the mean. - Mark the points at 24 years (Z = -1) and 32 years (Z = +1). - You can also extend this to mark ±2σ (20 and 36 years) and ±3σ (16 and 40 years) if desired. **Visualization Summary:** ``` Age (years) 16 20 24 28 32 36 40 |------|------|------|------|------|------| -3σ -2σ -1σ μ +1σ +2σ +3σ ``` - **Z-scores** correspond to each σ interval from the mean. --- ### **b. Number of Applicants Above 32 Years Old** To find the number of applicants older than 32 years: 1. **Calculate the Z-score for 32 years:** \[ Z = \frac{X - μ}{σ} = \frac{32 - 28}{4} = 1 \] 2. **Find the Probability for Z > 1:** - Using the standard normal distribution table, \( P(Z > 1) = 0.1587 \) (or 15.87%). 3. **Calculate the Number of Applicants:** \[ \text{Number of Applicants} = 0.1587 \times 3000 \approx 476.1 \] - **Approximately 476 applicants** are older than 32 years. --- ### **c. Number of Applicants with Ages Between 24 and 32 Years** To find the number of applicants aged between 24 and 32 years: 1. **Calculate the Z-scores:** - For 24 years: \[ Z = \frac{24 - 28}{4} = -1 \] - For 32 years: \[ Z = \frac{32 - 28}{4} = 1 \] 2. **Find the Probability for -1 ≤ Z ≤ 1:** - From the standard normal distribution table, \( P(-1 ≤ Z ≤ 1) = 0.6826 \) (or 68.26%). 3. **Calculate the Number of Applicants:** \[ \text{Number of Applicants} = 0.6826 \times 3000 \approx 2047.8 \] - **Approximately 2,048 applicants** are aged between 24 and 32 years. --- ## **Summary:** - **a.** A normal distribution curve centered at 28 years with a standard deviation of 4 years. Key points at 24 years (Z = -1), 28 years (Z = 0), and 32 years (Z = +1). - **b.** **Approximately 476 applicants** are older than 32 years. - **c.** **Approximately 2,048 applicants** are aged between 24 and 32 years.

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To really visualize this scenario, let's step into the world of statistics! Imagine our applicants' ages mapped along a bell-shaped curve, where most of them cluster around the mean age of 28, forming the peak. To convert ages into z-scores, we use the formula z = (X - μ) / σ. For example, for 32 years, the z-score would be (32 - 28) / 4 = 1. This tells us how many standard deviations 32 is away from the mean! Now, when we look at how many applicants are above 32 years old, we find the z-score corresponding to 32 is 1. This means we’re looking at the right tail of the distribution. Using a z-table, we see that about 84% are below this age, so 16% are above. With 3000 applicants, that translates to roughly 480 applicants over 32. For those between 24 and 32, we calculate the z-scores for 24 and 32 to find ages: between -1 (24 years) and 1 (32 years). This area under the curve is about 68%, so approximately 2040 applicants fall into this age range!

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