Mathematics
Mathematics, 20.07.2019 06:10, dameiranderson

Which of the following are true? if false, explain briefly. a) a very high p-value is strong evidence that the null hypothesis is false. b) a very low p-value proves that the null hypothesis is false. c) a high p-value shows that the null hypothesis is true. d) a p-value below 0.05 is always considered sufficient evidence to reject a null hypothesis.

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Mathematics, 15.07.2019 23:20, demigod0701
Part ii: true/false correct any false statements. 2. a confidence interval widens as its confidence level increases. 3. a confidence interval widens as its sample size increases. 4. confidence levels refer to the probability that the interval will capture the true parameter in repeated samples. they are not the likelihood that particular intervals contain the true parameter. 5. one-sided hypothesis tests are used when we are stating that a parameter is larger than the null hypothesis value. 6. when the p-value > , there is enough evidence to reject the null hypothesis. 7. not having enough evidence to reject the null hypothesis and concluding that the null hypothesis is true are equivalent statements.
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Mathematics, 12.08.2019 17:30, hardwick744
Which of the following are true? if false, explain briefly. a. a very low p-value provides evidence against the null hypothesis. b. a high p-value is strong evidence in favor of the null hypothesis. c. a p-value above 0.10 shows that the null hypothesis is true. d. if the null hypothesis is true, you can't get a p-value below 0.01
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Mathematics, 26.10.2019 04:43, dnarioproctor
a) if the null hypothesis is true, you'll get a high p-value. b) if the null hypothesis is true, a p-value of 0.01 will occur about 1% of the time. c) a p-value of 0.90 means that the null hypothesis has a good chance of being true. d) a p-value of 0.90 is strong evidence that the null hypothesis is true.
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