C10 Q10 V1: The Excel file STATISTICSSTUDENTSSURVEYFORR contains the column ENDPULSEMIN (a numerical variable that measures student pulses after completing an online survey) and the column BEFPULSEMIN (a numerical variable that measures student pulses before completing an online survey). For education purposes, consider this dataset to be a sample of size 60 taken from a much larger population for statistics students. Consider the paired differences d=ENDPULSEMIN - BEFPULSEMIN. Calculate a 94% confidence interval for the mean of the population paired differences. Choose the most correct (closest) answer. C Your confidence interval is (0.4965423, 1.5034577) and there is significant evidence that, on average, the two pulse rate measurements give different results. C Your confidence interval is (0.4965423, 1.5034577) and there is no significant evidence that, on average, the two pulse rate measurements give different results, on average. Your confidence interval is (0.4746613, 1.5253387) and there is significant evidence that, on average, the two pulse rate measurements give different results. Your confidence interval is (0.4746613, 1.5253387) and there is no significant evidence that, on average, the two pulse rate measurements give different results. C10 Q13 V4 The dataset SUMMERSTUDENTS contains information from a random sample of 44 students who took Statistics at MacEwan in the summer term. Your columns (variable) of interest are PREFLEARN (a column that records student preferred learning method (Before class video/Homework in Class (BV), Lecture in Class/Homework After)(LC)) ) and YAGE (a column that records student age). For education purposes assume that the two groups are two independent samples from a much larger normal population of statistics students and that the two populations have unequal variances. Use R to determine if there is significant evidence that the average student age is less for a student in the BV group than for a student in the LC group. Use a level of significance of 1%. Choose the most correct (closest) answer. Your p-value is 0.04935 and you reject your null hypothesis. Your p-value is 0.09871 and you reject your null hypothesis. Your p-value is 0.9506 and you fail to reject your null hypothesis. Your p-value is 0.04935 and you fail to reject your null hypothesis