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Consider the following statements on hypothesis testing. Which TWO of the statements are true (note that there are exactly two true statements): In hypothesis testing using the tdistribution, the value of the ttest statistic is determined based only on information from the sample data as well as a hypothesized parameter value. D A large p-value indicates that the null hypothesis is true, and the alternate hypothesis should be rejected. Whether a hypothesis test is one-sided (upper or lower tail) or two-sided depends on the value of the sample mean, and whether it is larger or smaller (or different) from the hypothesized mean. In order for the results of hypothesis testing to be valid, the population from which we are sampling must be normally distributed (regardless of the sample size). D As the p-value decreases, the evidence against the null hypothesis increases