2. Jimmy works for a company that designs new homes. The company just moved to Oklahoma City and his boss wants him to find out the average price of all homes in Oklahoma City. Jimmy had a computer randomly select 28 homes. He then found out the price paid for each home. A histogram of the employees showed a bell shaped distribution. The sample mean average price of the 28 homes was $89650 with a standard deviation of $7625. 3. Rick works for a sports equipment manufacturing company. He wants to know how much the average customer spends at his stores. 50 he went to the store by his house and kept track of how much each customer spent. There were a total of 45 customers and the histogram of the data showed a skewed right distribution. The mean average price of the sample was $71 with a standard deviation of $19. 4. Rachael works for a company that manages apartment buildings in Northridge, CA. She wants to determine the mean average price of a 1 bedroom apartment in Northridge. To determine this, she goes to every apartment building listed in Northridge and asks the managers the average price of all their apartments. Her sample size was 213 and her sample mean average was $1325. The standard deviation was $18G