Chi-square analysis generates a p value, an important indicator of statistical support for a hypothetical outcome. If a p value = 0.05 > p > 0.01, the tested hypothesis fails to be falsified. Agree/Disagree? Answer with explanation here:
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1) Chi-square analysis generates a p value, an important indicator of statistical support for a hypothetical outcome. If a p value = 0.05 > p > 0.01, the tested hypothesis fails to be falsified.
Agree/Disagree? Answer with explanation here:
P value is the statistical measure that is used to identify the likelihood that an observed outcome is the result of chance. Thus byy identifying the P value we can either accept or reject the alternative and the hypothesis.
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- Provide an example of a research project in your hometown where you would choose to use a t-test for independent samples. Would you use a one-tail or two-tail test, and why? What is your null hypothesis and research hypothesis? If you have a sample size of 500, should you interpret the statistical significance or the effect size?If possible please answer all four questions. For each hypothesis, identify the independent and dependent variable. Also, decide on an appropriate control group and form of data. Thank you.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
- 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 errorLarge χ2 values are sometimes obtained in situations where the null hypothesis is true. Explain why this might happen.Which of the following operations could be used for hypothesistesting?a. Product rule c. Chi square testb. Binomial expansion d. All of the above
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