To answer this question, we need to know the exact p-value reported in the study. The p-value is a statistical measure that helps scientists determine whether their hypotheses are correct.

1. If the p-value is less than 0.05 (which is the 5% level of significance mentioned), then we can reject the null hypothesis. The null hypothesis is typically a statement of 'no effect' or 'no difference'. In this case, the null hypothesis would be 'the type of facial expression does not cause a change in trustworthiness ratings'. So, if the p-value is less than 0.05, we can claim that 'the type of facial expression causes a change in trustworthiness ratings' for these undergraduate students.

2. If the p-value is greater than 0.05, then we cannot reject the null hypothesis. This means we do not have enough evidence to claim that 'the type of facial expression causes a change in trustworthiness ratings'.

Remember, a low p-value (less than 0.05) indicates that the observed data would be quite unlikely if the null hypothesis were true. So, a low p-value can be taken as evidence against the null hypothesis.

Without knowing the exact p-value reported in the study, we cannot definitively answer this question.

Question

To answer this question, we need to know the exact p-value reported in the study. The p-value is a statistical measure that helps scientists determine whether their hypotheses are correct.

1. If the p-value is less than 0.05 (which is the 5% level of significance mentioned), then we can reject the null hypothesis. The null hypothesis is typically a statement of 'no effect' or 'no difference'. In this case, the null hypothesis would be 'the type of facial expression does not cause a change in trustworthiness ratings'. So, if the p-value is less than 0.05, we can claim that 'the type of facial expression causes a change in trustworthiness ratings' for these undergraduate students.

2. If the p-value is greater than 0.05, then we cannot reject the null hypothesis. This means we do not have enough evidence to claim that 'the type of facial expression causes a change in trustworthiness ratings'.

Remember, a low p-value (less than 0.05) indicates that the observed data would be quite unlikely if the null hypothesis were true. So, a low p-value can be taken as evidence against the null hypothesis.

Without knowing the exact p-value reported in the study, we cannot definitively answer this question.

Knowee AI · Accepted Answer

To answer this question, we need to know the exact p-value reported in the study. The p-value is a statistical measure that helps scientists determine whether their hypotheses are correct.

1. If the p-value is less than 0.05 (which is the 5% level of significance mentioned), then we can reject the null hypothesis. The null hypothesis is typically a statement of 'no effect' or 'no difference'. In this case, the null hypothesis would be 'the type of facial expression does not cause a change in trustworthiness ratings'. So, if the p-value is less than 0.05, we can claim that 'the type of facial expression causes a change in trustworthiness ratings' for these undergraduate students.

2. If the p-value is greater than 0.05, then we cannot reject the null hypothesis. This means we do not have enough evidence to claim that 'the type of facial expression causes a change in trustworthiness ratings'.

Remember, a low p-value (less than 0.05) indicates that the observed data would be quite unlikely if the null hypothesis were true. So, a low p-value can be taken as evidence against the null hypothesis.

Without knowing the exact p-value reported in the study, we cannot definitively answer this question.

4(e) Based on the design of the study and the p-value reported (using a 5% level of significance), a claim can? Can not? be made for these undergraduate students that 'the type of facial expression causes a change in trustworthiness ratings'.

Question

Solution

Similar Questions

Upgrade your grade with Knowee