The same data, accenting

Different attributes.

Here are the haikus that the Fall 2021 Math 008 students have permitted me to share.

Many regressions

Lots of our hypotheses

Distribution types

Histograms make bins

most common bin is the mode

could have more than 1

Presenting data

Tables, bar plots, charts, and graphs

Visual answers

the mean, median, and mode

different data measures

so much fun to use!

standard error or

standard deviation or

calculating stats

A Type 1 Error

is not always better than

a Type 2 Error.

Find the p-value

To interpret test results

In RStudio

Applied Statistics

Both skewed and distributed

One of its tails long

I have learned a lot

Including RStudio

And how to use it

This statistical

Analysis is so fun

I have learned a lot

I like normal dists

They are shaped liked Bells, so nice

thumbs down on chi squared

Experiment and

Observational study

Helps you get data

prob. of getting yes

input to transformation

lower AIC

There is right and left

The direction is good too

Now we know the skew

Lots of regressions

Linear and logistics

Learning every day

Linear regressions

All of the calculations

get you the answer.

Hypothesis tests

Varying distributions

Still the same process

Intimidating

Data sets are not always

Inherently bad

only five numbers

the impact of outlier points

box and whisker plot

Are they related?

Use chi-square test to find out.

Independence found.

All of the bar plots

Positive slope, going up

Null hypothesis

some data samples

form normal distributions

upside down smiley

Testing for z-scores

Turning into p-value,

Making conclusions.

CIs, hyp testing

Tidyverse, openintro

Unpaired and paired data

compute p-value,

the confidence interval,

get standard error

Probability

Of me acing this exam

Not in the table.

Linear model

in R. Oh no, outliers!

Draw test statistic.

Two variables,

one the cause and one effect,

dependent or not

Probability

Helps you everywhere

And is shown in R.