To determine which of the conditions is not satisfied for this problem, let's examine each option:
A) The sample size should be less than 10% of the population. In this situation, the sample size exceeds 10% of the population.
In this case, the sample size is 200 out of a population of 1000. Since 200 is 20% of 1000, this condition is not satisfied.
B) The population does not have an approximately normal distribution.
This condition is not explicitly mentioned in the given problem statement. Therefore, we cannot determine whether it is satisfied or not based on the information given.
C) The sample size n is not satisfied n ≥ 30.
Here, the sample size is 200, which is greater than the required minimum of 30. Therefore, this condition is satisfied.
D) The sample proportion is close to 0.50.
The sample proportion refers to the proportion of employees with perfect attendance in the random sample. Since no information is given about the proportion of employees with perfect attendance, we cannot determine whether this condition is satisfied or not.
E) The employees are dependent on one another.
The given problem does not provide any information regarding the dependency of employees on one another. Based on the information given, we cannot determine whether this condition is satisfied or not.
F) More than one condition is not satisfied.
Based on the analysis above, we can see that at least two conditions are not satisfied: option A and either option B, D, or E (since we cannot determine their satisfaction based on the information given).
Therefore, the answer is F) More than one condition is not satisfied.