Question

Which of the following are true statements about the p-value and hypothesis tests? Select all that apply. Select one or more: The p-value is the probability the null hypothesis is correct. The p-value is the probability the alternative hypothesis is correct. The p-value is one minus the probability the alternative hypothesis is correct. If the p-value is large, it indicates we did not calculate the test statistic correctly. The p-value is calculated assuming the null hypothesis is true. The p-value is calculated assuming the alternative hypothesis is true. If the p-value is small, it indicates the data is unlikely under the null hypothesis. A hypothesis test for the mean can be run for a simple random sample of 20 observations from a non-normal population. A hypothesis test for the mean can be run for a simple random sample of 45 observations from a non-normal population. A hypothesis test for the mean can be run for a convenience sample of 20 observations from a normal population. A hypothesis test for the mean can be run for a convenience sample of 45 observations from a non-normal population. A hypothesis test for the mean can be run for a simple random sample of 20 observations from a normal population.

          Which of the following are true statements about the p-value and hypothesis tests? Select all that apply. Select one or more: The p-value is the probability the null hypothesis is correct. The p-value is the probability the alternative hypothesis is correct. The p-value is one minus the probability the alternative hypothesis is correct. If the p-value is large, it indicates we did not calculate the test statistic correctly. The p-value is calculated assuming the null hypothesis is true. The p-value is calculated assuming the alternative hypothesis is true. If the p-value is small, it indicates the data is unlikely under the null hypothesis. A hypothesis test for the mean can be run for a simple random sample of 20 observations from a non-normal population. A hypothesis test for the mean can be run for a simple random sample of 45 observations from a non-normal population. A hypothesis test for the mean can be run for a convenience sample of 20 observations from a normal population. A hypothesis test for the mean can be run for a convenience sample of 45 observations from a non-normal population. A hypothesis test for the mean can be run for a simple random sample of 20 observations from a normal population.

Added by Matthew N.

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