Final answer:
The product bar codes scanned at supermarkets are examples of data. The mean amount spent on produce per visit highlighted in a study is a statistic. In a grocery store example, population refers to all produce department visits while the sample comprises of 1,000 selected visits.
Step-by-step explanation:
The millions of product bar codes scanned at supermarket checkout counters everyday are examples of data. These scans are raw inputs that the system collects; they are processed to provide meaningful information, such as the price of the product and the total cost of the purchase. Barcode scans are not processed information, models, or output.As for the other questions from the practice test, the study finding that the mean amount spent on produce per visit by customers in the sample is $12.84 is an example of a statistic, which is a summary figure calculated from the sample data. This figure helps us to understand the spending patterns of customers without examining the entire population.The millions of product bar codes scanned at supermarket checkout counters every day are examples of data. Data refers to the raw facts and figures that are collected and processed to generate information. In this case, the bar codes contain information about the products, which is scanned and processed to determine the price and other details at the checkout counter.
When the grocery store uses their records to draw a sample of 1,000 visits and calculate the average spending, the population is all visits to the produce department, the sample is the 1,000 selected visits, the parameter would be the overall average spending on produce (if known for the entire population), the statistic is the average spending calculated from the sample, the variable is the amount spent on produce, and the data are the individual amounts spent on produce during those 1,000 visits.