Question 10 2 pts Which of the following is true? O Two major contributing factors to effect size are the difference between the means and the variance within each distribution O The size of the difference between the means has no impact on effect size O When the size of the variance within each distribution increases but the difference between the means remains constant, the effect size increases O When the difference between the means decreases and the variance within each distribution remains constant, the effect size becomes largerQuestion 13 2 pts A study is conducted to determine whether students who participate in more extracurricular activities have higher GPAs than students who participate in the typical number of extracurricular activities. What would a Type II error be in this study? O Concluding that students who participate in more extracurricular activities do not have higher GPAs than students who participate in the typical number of extracurricular activities and in reality, they don't O Concluding that students who participate in more extracurricular activities do not have higher GPAs than students who participate typical number of extracurricular activities and in reality, they do O Concluding that students who participate in more extracurricular activities do have higher GPAs than students who participate in the typical number of extracurricular activities and in reality, they do O Concluding that students who participate in more extracurricular activities do have higher GPAs than students who participate in the typical number of extracurricular activities and in reality, they don'tQuestion 14 2 pts Which of the following is true? O Increasing an experiment's sample size is a relatively easy way that an experimenter can reduce effect size Increasing an experiment's sample size is a relatively easy way that an experimenter can increase probability of Type II error O Increasing an experiment's sample size is a relatively easy way that an experimenter can increase power O Increasing an experiment's sample size is a relatively easy way that an experimenter can increase probability of Type I error