Based on the information in Table 2, it seems that the more dissolved oxygen in the water there is the higher the population of fish is. 2. If the ppm of dissolved oxygen is increased in water then there will be more fish observed. 3. The experimental approach to test this hypothesis would be to have two separate bodies of water, one with a set ppm of dissolved oxygen and another with an increasing amount of dissolved oxygen. 4. The Independent variable is the dissolved oxygen and the dependent variable is the number of fish observed. 5. The control is the fish.
The most appropriate graph for this data set would be a line graph because it showcases trends and findings within the trends. 7. 8. As the quality of the water rises with the increase of dissolved oxygen, the fish population, too, surges. Exercise 2 1. Hypothesis- A plant sitting on a window sill will grow faster as opposed to a plant sitting in the middle of the living room on a coffee table. Null Hypothesis- There is no difference in where a plant is placed, it will grow at the same rate whether it be sitting in the middle of the room or a window sill.
Scientific Method Essay Example
My experimental approach would be to place two plants one on the windowsill and the other on the coffee table and measure the growth every week. Independent variable- The placement of the plant. Dependent variable- Growth rate of the plant. Control- The plant. I will collect my data weekly by measuring any noticeable growth in each plant. The best way to present this data would be a line graph. I will analyze the data by looking for any difference in growth between the two plants. 2. No testable observation 3.
Hypothesis- Fishing at 7 o’clock in the morning yields more fish than at noon. Null Hypothesis- Fishing earlier in the morning has no bearing on the amount of fish you catch. The experimental approach would be to fish at both times for a week and record the results. Dependent variable- Amount of fish caught. Independent variable- time of day. Control- fish The data will be collected everyday at 7 o’clock and noon by counting the amount of fish caught at each time. The most appropriate graph would be a bar graph.
I will analyze the data by looking for a trend in the amount of fish caught in the morning vs at noon. 4. No testable observation 5. Hypothesis- eating healthy and exercising lowers blood pressure. Null Hypothesis- Blood pressure levels are not affected by eating fatty foods or healthy foods and exercise. The experimental approach would be to check blood pressure levels after eating fatty foods and after eating healthy foods and exercising. Dependent variable- Blood pressure levels. Independent variable- fatty/healthy foods and exercising. Control- Sally
The data will be collected by testing the blood pressure levels daily after eating fatty foods and healthy exercise. The most appropriate way to present the data would be by a table. The data will be analyzed for any illustrations that indicate a relationship between healthy eating and exercise and lower blood pressure levels. 6. No testable observation 7. No testable observation 8. No testable observation 9. No testable observation 10. Hypothesis- Ice cream melts faster in warm weather vs cold weather. Null Hypothesis- weather has no bearing on ice cream melting.
Taking ice cream outside on a warm day and then on a cold to see if warm weather affects the melting of ice cream would be the experimental approach. Dependable variable- Ice cream melting fast or slow. Independent variable- weather. Control- Ice cream Data will be collected when the days are warm and cold. Best graph for this experiment would be a table. I will analyze the date by looking at the time it took to melt the ice cream on a warm day vs a cold day. 11. One way to apply the scientific method to an everyday problem would be to see if gasoline prices are cheaper during the week.
Hypothesis- Gas prices are cheaper during the week. Null Hypothesis- The day of the week does not affect gas prices. The experimental approach would be to observe gas prices during the week and the weekend for a month. Dependable variable- Gas price. Independent Variable- day of the week. Control- Regular Gasoline Data would be collected at the nearest gas station. The best graph would be a bar graph I would analyze the gas prices during the week and the end of the week to see any trend that shows that the hypothesis is true.