A survey showed that 80% of adults need correction (eyeglasses, contacts, surgery, etc.) for their eyesight. If 20 adults are randomly selected, find the probability that no more than 1 of them need correction for their eyesight. Is 1 a significantly low number of adults requiring eyesight correction? The probability that no more than 1 of the 20 adults require eyesight correction is (Round to three decimal places as needed.)

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### Probability of Eyesight Correction Among Adults

**Survey Insight:**
A survey indicated that 80% of adults require some form of eyesight correction, whether it be through eyeglasses, contact lenses, surgery, or other methods.

**Problem Statement:**
If a group of 20 adults is randomly selected, what is the probability that no more than 1 of these 20 adults will need eyesight correction? Additionally, is having only 1 adult requiring eyesight correction from this group considered a significantly low number?

**Mathematical Problem:**
The probability of no more than 1 out of 20 adults requiring eyesight correction can be determined using statistical methods. Specifically, we will use the binomial probability formula where:
- The probability of an adult needing eyesight correction (\(p\)) is 0.80.
- The probability of an adult not needing eyesight correction (\(q\)) is 1 - 0.80 = 0.20.
- The number of trials (\(n\)) is 20.

The calculation will involve summing the probabilities of exactly 0 and exactly 1 adult needing eyesight correction.

**Result:**
The probability that no more than 1 of the 20 adults require eyesight correction is 
\[
P(X \leq 1) = P(X = 0) + P(X = 1)
\]
where \(P(X = k)\) is given by the binomial probability formula:
\[
P(X = k)= \binom{n}{k} p^k q^{n-k}
\]

- For \(k = 0\): 
\[
P(X = 0) = \binom{20}{0} (0.80)^0 (0.20)^{20} = 1 \cdot 1 \cdot 0.20^{20}
\]
- For \(k = 1\):
\[
P(X = 1) = \binom{20}{1} (0.80)^1 (0.20)^{19} = 20 \cdot 0.80 \cdot 0.20^{19}
\]

**Conclusion:**
The final probability value should be rounded to three decimal places as needed. Fill in the final calculated value in the empty box provided in your original context.

---
This explanation includes a clear translation of the problem and guides the reader through the necessary steps to understand and solve the statistical
Transcribed Image Text:### Probability of Eyesight Correction Among Adults **Survey Insight:** A survey indicated that 80% of adults require some form of eyesight correction, whether it be through eyeglasses, contact lenses, surgery, or other methods. **Problem Statement:** If a group of 20 adults is randomly selected, what is the probability that no more than 1 of these 20 adults will need eyesight correction? Additionally, is having only 1 adult requiring eyesight correction from this group considered a significantly low number? **Mathematical Problem:** The probability of no more than 1 out of 20 adults requiring eyesight correction can be determined using statistical methods. Specifically, we will use the binomial probability formula where: - The probability of an adult needing eyesight correction (\(p\)) is 0.80. - The probability of an adult not needing eyesight correction (\(q\)) is 1 - 0.80 = 0.20. - The number of trials (\(n\)) is 20. The calculation will involve summing the probabilities of exactly 0 and exactly 1 adult needing eyesight correction. **Result:** The probability that no more than 1 of the 20 adults require eyesight correction is \[ P(X \leq 1) = P(X = 0) + P(X = 1) \] where \(P(X = k)\) is given by the binomial probability formula: \[ P(X = k)= \binom{n}{k} p^k q^{n-k} \] - For \(k = 0\): \[ P(X = 0) = \binom{20}{0} (0.80)^0 (0.20)^{20} = 1 \cdot 1 \cdot 0.20^{20} \] - For \(k = 1\): \[ P(X = 1) = \binom{20}{1} (0.80)^1 (0.20)^{19} = 20 \cdot 0.80 \cdot 0.20^{19} \] **Conclusion:** The final probability value should be rounded to three decimal places as needed. Fill in the final calculated value in the empty box provided in your original context. --- This explanation includes a clear translation of the problem and guides the reader through the necessary steps to understand and solve the statistical
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