Question is Do all three data sets yield results yeso? Should this increase or decrease potential suspicions that the significance of any single study may have been just a Type 1 error Increase/Decrease? State the decision regarding the hypotheses and the conclusion of the test given in context

008/quizzes/251125/take Question 9 2 pts Our Research Question: Given the sample data below for these three studies, which (if any) provide statistically significant evidence that the proportion of graduates in STEM [Science, Technology, Engineering, and Math] that have regrets about their choice in major is less than the proportion of graduates in non-STEM fields? Proportion of Graduates in Proportion of Graduates in non- Year STEM that have regrets about STEM fields that have regrets their choice in major about their choice in major 2014[1] Data 60 250 = 0.24 175 529 0,331 2017[2] Data 1,935 0.28 6,272 6,911 14,685 = 0.427 2019[3] Data 7,697 79,360 0.097 24,758 168,640 = 0,147 What is the parameter of interest for this research question? [1] https:/www.pewsocialtrends.org/2014/02/11/the-rising-cost-of-not-going-to-college/ [2] https://www.sac.edu/research/PublishingImages/Pages/research-studies/Gallup: Strada%20Education%20Network%20June%202017%20Inaugural%20Report.pdf [Counts were estimated based on given statistics and sample sizes.] (3) https:/www.payscale.com/data/biggest-college-regrets = [Counts were estimated based on given statistics and sample sizes.]