Scenario 2: Sarah kicked a fully inflated soccer ball 100 times and measured how far it traveled. Next, she kicked a partially inflated soccer ball 100 times and measured how far it traveled. 1. Write a hypothesis: 2. Independent variable: 3. Dependent variable: 4. Controlled variables (at least 3): a. b. 5. Control Treatment: 6. Experimental Treatment:
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- Scenario 1: You are running a marathon and observe that running increases your pulse rate. Using what you know about the scientific method complete the following: 1. Write a hypothesis:2. Independent variable:3. Dependent variable:4. Controlled variables (at least 3):a.b.c5. Control Treatment:6. Experimental Treatment: Scenario 2: Sarah kicked a fully inflated soccer ball 100 times and measured how far it traveled. Next, she kicked a partially inflated soccer ball 100 times and measured how far it traveled. 1. Write a hypothesis:2. Independent variable:3. Dependent variable:4. Controlled variables (at least 3):a.b.c5. Control Treatment:6. Experimental Treatment:Scenario 1: You are running a marathon and observe that running increases your pulse rate. Using what you know about the scientific method complete the following: 1. Write a hypothesis: 2. Independent variable: 3. Dependent variable: 4. Controlled variables (at least 3): a. b. 5. Control Treatment: 6. Experimental Treatment:If I set up a Chi square analysis and determine that I cannot reject the null hypothesis based on my data, but the null hypothesis should be rejected, what kind of error is that? a. Type II error b. Type I error c. Conservative error
- 1)Describe a hypothesis you’re interested in. 2)Describe your observations on the topic. 3)State the hypothesis you’ve come up with. 4)Write the dependent (what you’re measuring) and independent factors (variables) you’d like to test. 5)Research whether this hypothesis has been tested before and summarize their findings, briefly.Why the results of the Swan-neck flask experiment were reliable ?: Select one: a. Because it maintained no controls at all b. Because proper controls were maintained and only one variable changed at a time c. Because many controls were maintained d. Because it was repeatedly done by several scientists e. Because it tested all variables at the same timeAnswer as comprehensively and as briefly as you can. 1. When is a hypothesis accepted? 2. Why is a variable included in an experiment? 3. Discuss the importance of a control in interpreting the results of an experiment.
- What was the independent variable in the experiment? A.) Temperature B.) Seed count C.)Amount of water D.) Incubation timeI answered with a and c but keep getting told its the wrong answer. Which of the following is not a component of effective experimental designs in the early stages of a scientific study? Select one or more: a. small sample sizes b. experimental groups taking a placebo c. double blind experiments d. short duration e. animal models f. repetitive testingThe 'control group' is an essential component of an experiment. This is because 1. A control group allows one to determine if a particular result is due to the experimental variable. 2. No, it's not essential in experimentation. A control group is not always necessary it depends on the experiment. 3. A control group allows for multiple variables to be tested at the same time. 4. A control group is required for the development of a prediction.
- Which of the following is NOT a reason why Wakefield’s study on the connection between autism and vaccinations was flawed? A. the study had a small sample size B. the study was not replicable C. the study acquired samples unethically and, quite possibly, illegally D. the study demonstrated everyone’s well being was taken care of E. the authors committed deliberate fraud to support their hypothesisWhich sentence best states the importance of using control groups ? 1-Control groups go through all the steps of experiment but lack the variable being tested. 2-Control groups eliminate the need for statistical tests.Control groups eliminate the need for statistical tests. 3-Control groups allow a smaller sample size to be used, so experiments are much cheaper.In an experiment, the control group is used to: a Change the variable b Provide a baseline for comparison with the test group c add additional non-dependent variables d demonstrate correlation rather than causation e generate hypotheses