⌨️ () What is statistics
At the variables that decrease income are not sex or sexism, but a myriad of factors such as choice of career, biological predisposition toward objects (males) vs people (females), as well as total work time, which is lower overall for women. The gender pay gap has been debunked several times and it astonishes me that someone who teaches statistics does not understand that it is not appropriate to not do a multivariate analysis on this topic. This has been debunked in the 70s.
@ you can also use it for deciding what ad you should show to what person lol or what areas to police, which funny enough end up with a lot of biases in them, and then we code AI models that predict it and then we claim that it's objective.
Yikes, horrible mic feedback, like heavy bass white noise :(
There's an error at around where the slide says interval has no true zero and ratio does however the narrator says the opposite. I'm faIrly sure that the narration is correct i.e ratio implies no true zero but I just wanted to point that OUT! :)
~ "Ratio means you cannot have a true zero" <-- ???
⌨️ () Sampling
part 2
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I left at Simulation. Will continue it in evening.
dont mind this
cluster sampling
And cluster sampling doesn’t really help to “tease” that out. —— What exactly was said in “tease” spot? Really appreciated!
entertaining lecture. i laugh hard at
⌨️ () Experimental design
well this escalated quickly.
⌨️ () Randomization
. watch until
. go back to for Ch 2.1 Freq Histograms and Dist and Ch 2.2 Other Graphs
⌨️ () Frequency histogram and distribution
The frequency histogram you are talking about at is actually a bar graph not histogram 😰
today's milestone is achieved
⌨️ () Time series, bar and pie graphs
Did you not watch it after ?
⌨️ () Frequency table and stem-and-leaf
. the jump to for ch.2.1 Frequency Tables & Ch. 2.3 Stem and Leaf Displays
. continue with the video from Ch3.1 Measures of central tendency
⌨️ () Measures of central tendency
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it's actually pronounced "me". I never understood where "mu" came from xD
Don't know what to think about the course. I love her energy and enthusiasm and some things are explained very lucidly, at other times it's a bit to dry for me. Anyways, I just want to leave myself (and others) a useful note: If you already know about the distinction between populations and samples, skip to , there is the good stuff. Thank you freeCode camp for the upload
The median is 3.50. The mean is 3.59. The mode is 4. I wouldn't characterize that as being "on top of each other".
@ learning stats saves tears!
⌨️ () Measure of variation
⌨️ () Percentile and box-and-whisker plots
:333
⌨️ () Scatter diagrams and linear correlation
@ "Its a fancy 'p'... " It's the Greek letter "rho" which correlates to the letter "r" in the English alphabet, hence the coefficient "r" haha. Great video though. Good stuff!
Let's see a diagram on the modular evolution of yeast, but all I know is I have to cut down on eating bread.
My Progress/Bookmark :
() Linear Regression and the Coefficient of Determination
Linear regression and coefficient of determination ()
there is always a big butt
⌨️ () Normal distribution and empirical rule
shoutout to bollywood
at ?
⌨️ () Z-score and probabilities
anyone elaborate how did she come at 2nd pt for calculating z-score
