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In data science, drawing conclusions from a vast ocean of data often hinges on a manageable subset – the sample. But how do we ensure this s
Regarding your public transportation poll: very important topic but I’d like to flag that is varies HEAVILY if the person lives in a developed vs under development country as even though public transportation might exist and be heavily used (opposed to rural vs urban) it might be an impossible option for those with disabilities and elderly or be a dangerous option for women. Idk what your study goal is but the poll results might vary depending on where the person lives and the degree of accessibility, infrastructure, security and economic disparities.
Hey anon!
(Post in question here)
Yeah that's definitely a very real consideration. I tried to make sure there were options that captured issues like people feeling unsafe, or people unable to access because of disability, because to your point, those are very real considerations, and aren't guaranteed to magically change if infrastructure overall changes.
Mostly what I wanted to capture here was an overall sense of what the tipping point was that made a person go "nope, I'll find another way to travel." since tumblr polls are the epitome of a convenience sample (ie, I just get the answers of those who are interested enough to engage, and have no data for anyone else), looking at proportions of who rides/does't ride, or if people think their transit is of decent quality, is NOT ideal. Especially since I'll be capturing lots of different areas. To that end, the "actually I DO ride transit" option was about akin to a "show results" option - I've been excited about how many people have chosen that option, but the number attached to it means next to nothing to me statistically. I'm mostly looking at what types of things seem to be more common than others as considerations people have to guide future inquiry.
Deep Learning - II
Deep Learning – II
Inferential Statistics Need?
Suppose to gather an average salary of professionals of same role in a country. Which of following methods would be easy and cost effective to determine.
Meet every professional in a country. Note down their salaries and then calculate the total average? Difficult, but not impossible.
Or hand pick a number of professionals in a city. Note down their salaries…
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dplyr tutorial | how to do data sampling using dplyr sampling functions ..P
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Essay Papers and Different Methodology
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