Mrs. Reynolds has many (over a hundred) houseplants of many different types including philodendrons, ferns, spider plants, cacti
, tomatoes, pineapples, etc. Suppose I decided to test the effect of caffeine on the growth rate of plants as follows. First I label each of Mrs. Reynolds' plants with a number. I then record the height of each plant. Then I water all of the indoor plants with only room temperature coffee for a month, and continue watering the outdoor plants with water as usual. At the end of the month the height of each plant is recorded again. The amount each plant has grown during the month is then used to test the claim that plants that are given caffeine grow faster than plants that are not given caffeine. Complete the following statements. This study is an example of a(n) . The numerical labels given to the plants are an example of data. The heights recorded at the beginning and end of each month are an example of data. For the indoor plants, the recorded heights at the beginning and end of the month are . At the end of the month, we now have the amount that each indoor plant has grown (data set 1) and the amount that each outdoor plant has grown (data set 2). These two data sets are . The study as described above is .
Base on the scenario been described in the question, where Mrs. Reynolds has many (over a hundred) houseplants of many different types including philodendrons, ferns, spider plants, cacti, tomatoes, pineapples, this is a typical example of experiment .
An experiment is a procedure carried out to support, refute, or validate a hypothesis. Experiments provide insight into cause-and-effect by demonstrating what outcome occurs when a particular factor is manipulated
