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You compare the 95% confidence intervals associated with two means and note that they do not overlap. What can you conclude?
Select one
O a. The null hypothesis can be accepted.
Ob. There is significant experimental error associated with the data set.
Oc. The standard errors are not significantly different.
Od. The associated means are significantly different.
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- 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 hypothesesThe confidence interval is reported as follows: Lower 95% CI < p < Upper 95% CI For this question you will be calculating the confidence interval but only reporting the Upper 95% CI using the Agresti-Coull Method. ( (you'll need to know the whole 95% CI for a future question) Do NOT use calculations from previous questions, this is a new scenario. In the Invisible Gorilla Experiment, 24 students were watching the video, only 7 noticed the gorilla. Calculate the 95% CI using the Agresti-Coull method, but only report the Upper 95% CI. Report your answer to 3 decimals.Which of these statements are true about predictions and hypotheses? (4 are true) □ If the results of the experiment are NOT consistent with a given prediction then that hypothesis is false. O Hypotheses and predotions are the same as theories. A predictions is a possible explanations to explain the initial observation. Predictions and hypotheses are the same thing. Predictions are usually written as if/then statements. "If I do this, then that will happen." O The prediction step comes before the hypothesis. Hypotheses are usually written as if/then statements. "If I do this, then that will happen." A hypothesis is a possible explanations to explain the initial observation. O The prediction step comes after the hypothesis.
- If the p-value found in an experiment is 0.85. We reject the null hypothesis. O True O False OCT 28 ww. MacBook Ar 80 esc F1 F2 F3 F4 F5 F6 ! # 2$ & 1 4 7 Q W E R T Y A S D F G H ock C V control option commandDefinitions: 1. List five assumptions of Hardy-Weinberg principles.What is a null hypothesis in experiments? How is a null hypothesis used in science experiments? Note: Provide an answer with 150-200 words
- Design a (hypothetical) experiment that adheres to the Scientific Method. Be sure to include all the necessary requirements at each step and give examples at all of the steps. Start with an observation, whether it's real or made up, state the null hypothesis, and design an experiment (including an experimental and control group, random sampling, sample size, and reproducibility) that will allow the student to reject or fail to reject the hypothesis, and state (hypothetical) 'actual' results and the appropriate conclusion to draw from those results.What attribute should a hypothesis contain so that it lends itself to an objective experiment that relies on quantitative observations and data? Which is a properly written hypothesis?Which hypothesis states that no statistical significance exists between the independent and dependent variable? Question options: statistical hypothesis complex hypothesis null hypothesis alternative hypothesis simple hypothesisWhich of the following operations could be used for hypothesis testing?a. Product ruleb. Binomial expansionc. Product rule and the binomial expansiond. Chi square test
- The following statements about the chi square test are correct. (Read each statement carefully. Select all of the statements below that are true (that you agree with). Leave any statements that are false (that you do not agree with) un- selected.) The null hypothesis infers that chance alone cannot account for the differences between observed and expected data. The null hypothesis infers that observed values are close enough to expected values. The lower the overall chi square value, the more likely the null hypothesis will be accepted. The higher the probability range associated with the overall chi square value, the more likely the null hypothesis will be rejected.The purpose of the constant is to: a. allow for adjustment of the control b. eliminate other potential factors/variables in the experiment c. allow for the dependent variable to show the necessary outcome d. help prove the hypothesis correctCompare and contrast random and systematic experimental errors with specific examples either real or fictitious. Explain how these types of errors can be identified and reduced in an experiment.