Hope student researchers want to determine if students yawning (when being yawned at) is associated with the time of day (morning, afternoon, and evening). They found the following results when they yawned in front of people around campus: . Morning: 25 of the 39 people yawned Afternoon: 15 of the 38 people yawned . Evening: 29 of the 44 people yawned The chi-square statistic for this test was 6.991. If instead, the chi-square statistic had been 5.332, would the p-value be smaller, larger, or remain the same? Smaller O Larger Remain the sameHope student researchers want to determine if students yawning (when being yawned at) is associated with the time of day (morning, afternoon, and evening). They found the following results when they yawned in front of people around campus: . Morning: 25 of the 39 people yawned . Afternoon: 15 of the 38 people yawned . Evening: 29 of the 44 people yawned Which applet would you use to conduct a theory-based test of association between time of day and whether a person yawns? One Proportion Two Proportions Multiple Proportions O Theory-Based InferenceHope student researchers want to determine if students yawning (when being yawned at) is associated with the time of day (morning, afternoon, and evening). They found the following results when they yawned in front of people around campus: . Morning: 25 of the 39 people yawned . Afternoon: 15 of the 38 people yawned . Evening: 29 of the 44 people yawned When this test is run, a p-value of 0.03 is found. What would be an appropriate conclusion? We have strong evidence that the probability a person yawns is different between all three times of day: morning, afternoon, and evening. We have strong evidence of an association between time of day and whether a person yawns. We have strong evidence of no association between time of day and whether a person yawns. We do not have strong evidence of an association between time of day and whether a person yawns.Hope student researchers want to determine if students yawning (when being yawned at) is associated with the time of day (morning, afternoon, and evening). They found the following results when they yawned in front of people around campus: . Morning: 25 of the 39 people yawned . Afternoon: 15 of the 38 people yawned . Evening: 29 of the 44 people yawned Follow-up confidence intervals for all pairwise differences in proportions are as follows: . 0.0299 to 0.4627: Morning - Afternoon -0.2237 to 0.1876: Morning - Evening -0.4736 to -0.0551: Afternoon - Evening Based off of these intervals, which of the following conclusions are correct? The probability of yawning in the morning differs significantly from the probability of yawning the afternoon. The probability of yawning in the morning differs significantly from the probability of yawning in the evening. The probability of yawning in the afternoon does not differ significantly from the probability of yawning in the evening. The probability of yawning in the morning does not differ significantly from the probability of yawning in the afternoon