In: Biology
Determine which of the following observations are testable. For those that are testable: Determine if the observation is qualitative or quantitative Write a hypothesis and null hypothesis What would be your experimental approach? What are the dependent and independent variables? What are your controls - both positive and negative? How will you collect your data? How will you present your data (charts, graphs, types)? How will you analyze your data? Observations 1. A plant grows three inches faster per day when placed on a window sill than it does when placed on a on a coffee table in the middle of the living room. 2. The teller at the bank with brown hair and brown eyes is taller than the other tellers. 3. When Sally eats healthy foods and exercises regularly, her blood pressure is 10 points lower than when she does not exercise and eats fatty foods. 4. The Italian restaurant across the street closes at 9 pm but the one two blocks away closes at 10 pm. 5. For the past two days, the clouds have come out at 3 pm and it has started raining at 3:15 pm. 6. George did not sleep at all the night following the start of daylight savings.
Answer :
1) this is a testable experiment.
Quantitative data
Null hypothesis : there is no change in plant growth in presence of sunlughtand more air.
Dependent variable : plant growth in inches
Independent variable : wavelength of the sunlight
Positive control : the growth of the plant which is placed in the table
Negative control : the growth of the plant placed near the window
Collect the data for 15days .check everyday grow for both the plant.
Finally run a Child Square test based on the experiment and the expected growth. If the growth near to window plant is more that the expected them reject the null hypothesis and accept the fact that more sunlight gives more growth.
2) this is not testable.
It is a qualitative experiment. Eye color is an gene controlled characteristic. It is difficult to collect a comparative data for this kind of observation.
3) this is a testable experiment
A quantitative approach can be applied with a correct definition of healthy food.
Null hypothesis : no change in Sally's blood pressure if she eats healthy food and exercise.
Collect her data for 15days if she does not exercise and for 15days if she exercises.
Calculate simple mean and miserable value and standard deviation for blood pressure and compare with both sets of data . Check the difference.
6) not testable. Nothing to quantify here. This is just an abrupt observation.