Part (c) If you were to build a new community college, which piece of information would be more valuable: the mode or the mean? A the mode B the mean Part (d) Calculate the sample mean. (Round your answer to one decimal place.) \( \bar{x} \approx \) Enter your answer Part (e) Calculate the sample standard deviation. (Round your answer to one decimal place.) s Enter your answer Part (f) A school with an enrollment of 9000 would be how many standard deviations away from the mean? (Round your answer to two decimal places.)

### Part (c) **Question:** If you were to build a new community college, which piece of information would be more valuable: the mode or the mean? - **A)** the mode - **B)** the mean **Answer:** **B) the mean** **Explanation:** When planning to build a new community college, the **mean** (average) provides a more comprehensive understanding of the data, such as average enrollment numbers, average population in the target area, or average income levels. This average information helps in making informed decisions about resource allocation, facility size, staffing needs, and program offerings to meet the overall demand. On the other hand, the **mode** represents the most frequently occurring value in a dataset. While it can be useful in specific contexts (e.g., identifying the most common program desired by students), it doesn't provide as complete a picture as the mean, especially when the data distribution is skewed or has multiple modes. ### Parts (d), (e), and (f) To assist you with calculating the sample mean, sample standard deviation, and determining how many standard deviations away a particular enrollment number is from the mean, I would need the actual dataset or the summary statistics (such as individual data points or relevant summary data). Please provide the necessary data, and I'll be happy to help with these calculations!