#15 in Probability & statistics books
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Reddit mentions of Statistics For Dummies
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>what can I show her so she can be properly informed?
this
EDIT: or a bunch of leftist professors discussing it
http://freakonomics.com/2016/01/07/the-true-story-of-the-gender-pay-gap-a-new-freakonomics-radio-podcast/
I dove into this stuff almost two years ago with very little preparation or background. Now I'm in an MS program for Applied Statistics, and doing quite well. Here are some tips that worked for me:
Good luck.
Honestly, if you're wanting an understanding of statistics, I'd recommend Statistics for Dummies. Don't be deceived by the title, you'll still have to do some real thinking on your own to grasp the ideas discussed. You might consider using textbooks or other online resources as secondary supports to your study.
I can also give you a basic breakdown of the topics you'd want to develop an understanding of in beginning to study statistics.
Descriptive Statistics
Descriptive statistics is all about just describing your sample. Major ideas in being able to describe the sample are measures of center (e.g., mean, median, mode), measures of variation (e.g., standard deviation, variance, range, interquartile range), and distributions (e.g., uniform, bell-curve/normally distributed, skewed left/right).
Inferential Statistics
There is a TON of stuff related to this. However, I would first recommend beginning with making sure you have some basic understanding of probability (e.g., events, independence, mutual exclusivity) and then study sampling distributions. Because anything you make an inference about will depending upon the measures in your sample, you need to have a sense of what kinds of samples are possible (and most likely) when you gather data to form one. One of the most fundamental ideas of inferential statistics is based upon these ideas, The Central Limit Theorem. You'll want to make sure you understand what it means before progressing to making inferences.
With that background, you'll be ready to start studying different inferences (e.g., independent/dependent sample t-tests). Again, there are a lot of different kinds of inference tests out there, but I think the most important thing to emphasize with them is the importance of their assumptions. Various technologies will do all of the number crunching for you, but you have to be the one to determine if you're violating any assumptions of the test, as well as interpret what the results mean.
As a whole, I would encourage you to focus on understanding the big ideas. There is a lot of computation involved with statistics, but thanks to modern technology, you don't have to get bogged down in it. As a whole, keep pushing towards understanding the ideas and not getting bogged down in the fine-grained details and processes first, and it will help you develop a firm grasp of much of the statistics out there.
I have never argued that draw is good for the game. If you read my posts around this subreddit, I have critized mojang for not putting in the proper way to the hand limit and have argued that it makes the game less tactical on several occasions. As for the rest, try this:
http://www.amazon.co.uk/Statistics-For-Dummies-Deborah-Rumsey/dp/0470911085
[citation needed]
http://www.amazon.ca/Statistics-For-Dummies-Deborah-Rumsey/dp/0470911085
Here is the lowest end dumbed down version.
Should be perfect.
Asking every single person is definitely not the only way to get accurate numbers. For starters you could give this read:
http://www.amazon.com/Statistics-For-Dummies-Deborah-Rumsey/dp/0470911085/ref=sr_1_5?ie=UTF8&qid=1412872846&sr=8-5&keywords=intro+to+statistics
But you're right about this little piece of click bait. I'm not sure why more people aren't commenting on the NBC/Survey Monkey Ad they were just tricked into reading.
> Outliers would be occasional results.... The most successful player in SC2 so far is a zerg... That is a fact. Calling that an outlier is just ridiculous...
Calling a single player an outlier is ridiculous to you? Here, let me help.
I've given you sources on the intelligence of uneducated whites.
I've given you sources on the null hypothesis.
I've given you sources on why the '85 IQ' data is unreliable due to environmental factors.
Exactly what do you think is missing?
And once again, your education?
Only if you are too dumb to know how to use it. Knowing a median is actually quite useful when making future predictions.
I would encourage you to read up on statistics, so you can focus on things that matter, rather than on the odds that Urban Meyer wins a game when there is snow within 100 miles and he is wearing khakis.
http://www.amazon.com/Statistics-Dummies-Deborah-J-Rumsey/dp/0470911085
A lot of people on this thread could do with
Statistics For Dummies, 2E https://www.amazon.co.uk/dp/0470911085/ref=cm_sw_r_cp_apa_w4xUAbNGYEP37