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 correctIf 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.For a hypothesis test for the mean, we can assume the sampling distribution is normal if we have a simple random sample of 20 observations from a non-normal population.For a hypothesis test for the mean, we can assume the sampling distribution is normal if we havea simple random sample and the population standard deviation is known.For a hypothesis test for the mean, we can assume the sampling distribution is normal if we havea convenience sample of 20 observations from a normal population.For a hypothesis test for the mean, we can assume the sampling distribution is normal if we havea convenience sample of 45 observations from a normal population.For a hypothesis test for the mean, we can assume the sampling distribution is normal if we havea simple random sample of 20 observations from a normal population.