Which of the following are true statements about the p-value?
1) The p-value is the probability the null hypothesis is correct.
2) The p-value is the probability the alternative hypothesis is correct.
3) The p-value is one minus the probability the alternative hypothesis is correct.
4) If the p-value is large it indicates we did not calculate the test statistic correctly.
5) The p-value is calculated assuming the null hypothesis is true.
6) The p-value is calculated assuming the alternative hypothesis is true.
7) If the p-value is small it indicates the data is unlikely under the null hypothesis.