If the null hypothesis for an independent group t test is not supported, then the t test should be: O +1.00. a negative number. greater than ±1.00. 0.00.
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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?Which of the following operations could be used for hypothesis testing?a. Product ruleb. Binomial expansionc. Product rule and the binomial expansiond. Chi square test1) 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:
- Large χ2 values are sometimes obtained in situations where the null hypothesis is true. Explain why this might happen.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 hypothesesWhich of the following operations could be used for hypothesistesting?a. Product rule c. Chi square testb. Binomial expansion d. All of the above
- Assume that a Chi-square test was conducted to test the goodness of fit to a 9:3:3:1 ratio and a Chi-square value of 10.62 was obtained. Should the null hypothesis be accepted?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.Which is the correct equation for the chisquare statistic? Group of answer choices a)x^2 = [(observed-expected)^2]/expected b)x^2 = sum[((observed-expected)^2)/observed] c)x^2 = sum[((observed-expected)^2)/expected] d)x^2 = sum[(observed-expected)/expected] What is a "p-value"? Group of answer choices a)the threshold at which you will reject the null hypothesis b)the probability of the null hypothesis being false c)the percentage of days you are sick during the year d)the probability of the null hypothesis being true