Hi, please can someone? When carrying out an experiment, you want to establish whether the populations your samples represent are truly different from one another. You tested your hypothesis using a t-test and revealed a p value of p=.04. Can you consider your populations truly different from each other? Which one is correct?

-Yes, the p-value is less than 0.5 which means differences between the samples reflect population differences. -Yes, the p-value is less than 0.05 which means differences between the samples reflect population differences -No, the p-value is less than 0.05 which means differences between the samples do not reflect population differences. -No, the p-value is less than 0.5 which means differences between the samples reflect population differences.

2). An analysis was conducted on whether participants perform better in a general knowledge test if they study for 100 hours versus if they study for 10. The researchers found that participants who studied for 100 hours scored an average of 1.5% higher than participants who studied for 10. The findings were significant but how can the effect size be described?

Select one:

-The effect size was small - the difference between groups was not very much considering the time investment required

-The effect size was large - the difference in number of hours studied is a lot, which implies a large effect size -The effect size was large - since the study was significant it shows there was a big effect. -There was a significant effect.

3). Which of the following is NOT a statistical assumption of an independent t-test: Select one:

-Assumption of homogeneity of variance -Assumption of normality -Assumption that the data is interval data -Assumption of detriment