1. A large employer is interested in determining what proportion of employees are not at work on a given day. A preliminary accounting of absences shows 1.15% of employees are absent on a specific day. The employer wants to be 90% confident in the estimate with an error of 0.002. How many employees need to be observed to collect the information about absences?
2. A large bag of peanut M&M's has a mean number of 358 pieces, with a standard deviation of 50. If you sample 100 bags of M&M's, what is the probability you will have between 35,000 and 36,000 pieces? Hint: use Central Limit Theorem for Sums
3. College students taking a full-time load also work an average of 28 hours per week, with a standard deviation of 3.05 hours. What proportion of students work more than 35 hours per week?
4. College students taking a full-time load also work an average of 25 hours per week, with a standard deviation of 3.15 hours. What proportion of students work between 22 and 30 hours per week?
2. A large bag of peanut M&M's has a mean number of 358 pieces, with a standard deviation of 50. If you sample 100 bags of M&M's, what is the probability you will have between 35,000 and 36,000 pieces? Hint: use Central Limit Theorem for Sums
3. College students taking a full-time load also work an average of 28 hours per week, with a standard deviation of 3.05 hours. What proportion of students work more than 35 hours per week?
4. College students taking a full-time load also work an average of 25 hours per week, with a standard deviation of 3.15 hours. What proportion of students work between 22 and 30 hours per week?
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