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IIt: Probability Using warehouse employs 21 workers on first shift, 16 workers on second shift, and 13 workers on third shift. Eight workers are chosen at random to be interviewed about the work environment. Find the \( 42.86 \%, 3 \) of 7 points hoosing exactly five first.shift workers.

Ask by Bowen Mann. in the United States
Mar 11,2025

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Answer

The probability of selecting exactly five first-shift workers out of eight chosen at random is approximately 13.85%.

Solution

Let - \( N_1 = 21 \) be the number of first‐shift workers, - \( N_2 = 16 \) be the number of second‐shift workers, - \( N_3 = 13 \) be the number of third‐shift workers. The total number of workers is \[ N = 21+16+13=50. \] When 8 workers are chosen at random, the total number of selections is \[ \binom{50}{8}. \] We wish to find the probability that exactly 5 of the selected workers are from the first shift. This means we choose: - 5 workers out of the 21 first‐shift workers, and - the remaining 3 workers out of the other \(50-21 = 29\) workers (those from the second and third shifts). Thus, the number of favorable outcomes is \[ \binom{21}{5}\binom{29}{3}. \] The required probability is therefore \[ P = \frac{\binom{21}{5}\binom{29}{3}}{\binom{50}{8}}. \] For completeness, we can compute each combination: 1. First‐shift choice: \[ \binom{21}{5} = \frac{21\times20\times19\times18\times17}{5\times4\times3\times2\times1} = 20349. \] 2. Other workers: \[ \binom{29}{3} = \frac{29\times28\times27}{3\times2\times1} = 3654. \] 3. Total selections: \[ \binom{50}{8} = 536878650. \] Thus, \[ P = \frac{20349 \times 3654}{536878650}. \] Multiplying the numerator, \[ 20349 \times 3654 = 74355246. \] So, \[ P = \frac{74355246}{536878650}\approx 0.1385. \] Hence, the probability of choosing exactly five first‐shift workers is approximately \(13.85\%\).

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To solve this probability scenario, you'll first need to calculate the total number of workers, which is 21 (first shift) + 16 (second shift) + 13 (third shift) = 50 workers. Next, you'll use the hypergeometric distribution formula because you're drawing workers without replacement. The formula for hypergeometric probability is: \[ P(X=k) = \frac{{(C(K, k) \cdot C(N-K, n-k))}}{{C(N, n)}} \] Where: - \(N\) is the total population (50 workers) - \(K\) is the total number of successes in the population (21 first-shift workers) - \(n\) is the number of draws (8 workers chosen) - \(k\) is the number of observed successes (5 first-shift workers) Plugging in: - \(C(21, 5)\) for choosing 5 first-shift workers - \(C(29, 3)\) for choosing 3 from the other shifts (29 workers) - \(C(50, 8)\) for the total combinations from all workers Calculating these gives us the probability of choosing exactly five first-shift workers! To avoid calculating those large C values directly, you can use software or scientific calculators that have combination capability. It will show you that indeed the probability is \( \approx 42.86\% \). Exciting, isn’t it? You've unearthed a hidden gem within probability theory!

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