![]() This was sort of funny, because you can tell a lot about a person’s lifestyle by simply looking at the contents of their fridge. I did have a student ask me to open the refrigerator so they could look inside. So this is making us rethink how we do PhD training and mentoring. Oh my gosh - three hours on Zoom would be horrible. Before the pandemic hit, PhD seminars were run exactly as they’d always been run: You go in a seminar room for three hours with no break. Teaching remotely is also forcing us to break up our material into bite-size pieces. Now we’re having more social time, even if it’s virtual. There may be a barbecue or happy hour once a term, but that’s about it. Right now, I mostly work with PhD students, and traditionally it’s not part of the culture to spend a lot of time with them out of the office. In a weird sort of way, I feel closer with my students these days, because we’re seeing each other in our homes. Using this formula and then much more sophisticated regression models, we can figure out if there is support for our hypothesis - that is, that protests actually matter to stock price returns. ![]() For example, I’ve done research on the effect that protests have on companies’ stock prices. So we need to be able to say with some degree of certainty that what we are postulating from our observational data has statistical validity. It’s a basic but important tool, because with the kind of observational research that I do, and that my students do, the data are messy. I’m a quantitative social scientist, so this is one of the fundamental statistical equations that I teach and use in my research. It’s used to figure out if you’re making correct or erroneous assumptions about the correlation between two data points. The formula I drew here is a correlation coefficient. When I’m going into a Zoom conference, I say to my husband and son, “OK, I’m going to be on the whiteboard from 10 to 11, so that means you should get your food before or after that, because you can’t come in and open the fridge.” Lorraine, the cat, doesn’t have any such rules. Soule is the Morgridge Professor of Organizational Behavior at Stanford GSB. ![]() You can find out how to avoid them below.In this series for Stanford Business magazine, we visit Stanford GSB professors’ offices (or, in this case, kitchen) and ask them to share the stories behind one of the favorite knickknacks. These cookies and other technologies capture data like your IP address, when you viewed the page or email, what device you were using and where you were. We use various advertising partners, including Amazon, Facebook, and Google. ![]() These cookies are used to track your activity on the BenQ website and other websites across the Internet, help measure the effectiveness of our advertising campaign and deliver advertisements that are more relevant to you and your interests. See list of performance and advertising cookies To opt-out of Hotjar collecting data, you can disable tracking completely by following link:. To opt-out of SessionCam collecting data, you can disable tracking completely by following link:. To opt out of certain ads provided by Google you can use any of the methods set forth here or using the Google Analytics opt out browser add-on here. You can control the information provided to Google, SessionCam and Hotjar. If you want to opt-out of advertising cookies, you have to turn-off performance cookies. We also use Google Analytics, SessionCam and Hotjar to track activity and performance on the BenQ website. These cookies help to improve the performance of BenQ. Divide by n, the number of individuals in the sample. Count up all the individuals in the sample who fall into the specified category. Performance cookies and advertising cookies The proportion of a given category, denoted by p, is the frequency divided by the total sample size. ![]()
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