1. The problem is to identify examples of parameters and statistics in different situations. 2. A parameter is a numerical value that describes a characteristic of an entire population. 3. A statistic is a numerical value that describes a characteristic of a sample drawn from the population. 4. Example 1: - Parameter: The average height of all students in a school. - Statistic: The average height of 50 randomly selected students from that school. 5. Example 2: - Parameter: The proportion of all voters in a country who support a candidate. - Statistic: The proportion of 1000 surveyed voters who support that candidate. 6. Example 3: - Parameter: The mean income of all households in a city. - Statistic: The mean income of 200 households sampled from that city. 7. Example 4: - Parameter: The percentage of defective items produced by a factory in a day. - Statistic: The percentage of defective items found in a sample of 500 items. 8. Example 5: - Parameter: The average test score of all students in a university. - Statistic: The average test score of students in a particular class. Each parameter describes the entire population, while each statistic describes a sample from that population.