General Information

Prompt

Beauty: discuss Morrison’s treatment of the idea of beauty. From what, where, or whom does this notion come? What effect does it have on the way one perceives the world? On the way others perceive an individual?

How does beauty (the acquisition of it, the lack of it, or the presence of it) determine one’s fate in America? Is beauty a necessarily fixed entity or does it fluctuate at the whim of society? How much or to what extent does one’s perception of beauty contribute to one’s sense of self-worth?

A secondary source comparison activity for the Bluest Eye

Tony Morrison’s Rootedness

That, if an action were to be done as in a community, its regarded as safer

It is a very personal grief and a personal statement done among people you trust. Done within the context of the community, therefore safe.

Public (white-washed) and private image, by necessesity, is separated

it’s just important that it be private. And then, whatever I do that is public can be done seriously.

bool does not belong in pure C.

#include <stdio.h>
#include <stdbool.h> // you need to include this to get bools to work.

int main(int argc, char *argv[]) {
    bool test = true;

    if (test)
        printf("its true\n")
}

bootstrap allows you to know distribution statistics, calculate p-value, etc, with NO statistical testing like t test, etc.

Big idea: treat your sample space as your population, and sample from it to obtain an estimate of the properties of the sample distribution.

\begin{equation} D \approx \hat{D} \end{equation}

so, to calculate the distribution of any given statistic via a sample:

1. estimate the PMF using sample
2. my_statistic_dist = [] (like sample mean, sample variance, etc.)
3. for i in (N >> 10000)
   1. take a subsample of len(sample) samples from PMFu
   2. my_statistic_dist.append(my_statistic=(=subsample)) (recall it has to be a sampling statistic (like N-1 for sample variance)
4. how you have a distribution of my_statistic

We know that taking mean and var re drawn as a statistic of the same random variable, \(N\) times. So, central limit theorem holds. Therefore, these are normal and you can deal with them.