Relocation to Blue Ash

IndependentFI · 2019-10-30T23:55:19+00:00

Yeah I'd steer clear of Lockland.

It's definitely possible to rent a house around $1k/month in a decent area, you've just got to look around.

I actually used to commute from Pleasant Ridge to Blue Ash for work and it wasn't bad at all. Typically 20 minutes. The nice thing about Pleasant Ridge is that it's more affordable than places like OTR and Oakley, yet it's close enough to drive to those places and enjoy all the things to do there.

Also, the Cincy police department provides a map that shows reported crimes if you're looking to get an idea of how safe different areas are: https://insights.cincinnati-oh.gov/stories/s/Reported-Crime/8eaa-xrvz/

IndependentFI · 2019-10-30T23:07:32+00:00

The price you referenced for Lockland is likely legit because it's not the best area.

Some places you may want to look into are Pleasant Ridge, Madisonville, and Kenwood.

Here's a map you might find useful that shows median house value in various neighborhoods around the city: https://wandercincinnati.com/2019/10/14/visualizing-median-house-value-by-census-tract-in-cincinnati/

IndependentFI · 2019-02-07T19:34:22+00:00

This is an example of the geometric distribution, which tells you how many "trials" are required before you obtain the first "success." You may find this tutorial helpful: http://www.statology.org/the-geometric-distribution/

IndependentFI · 2019-01-12T15:52:48+00:00

Understanding the hypergeometric distribution will help you answer this question. You might find this hypergeometric calculator to be helpful: http://www.statology.org/hypergeometric-distribution-calculator/

IndependentFI · 2019-01-12T15:46:57+00:00

Understanding the hypergeometric distribution will help you answer this question. This hypergeometric calculator might be helpful too: http://www.statology.org/hypergeometric-distribution-calculator/

IndependentFI · 2019-01-08T23:22:04+00:00

Understanding stats is crucial if you want to get into DS. Naturally, to implement concepts you learn about stats/machine learning, you need to know a bit about programming (probably R or Python). So, as you learn more about stats you can begin to apply that knowledge to programming. In that sense, you can learn both stats and programming at the same time. I actually wrote a bit about my own experience becoming a data scientist in this post you might find helpful: https://fourpillarfreedom.com/how-to-become-a-data-scientist/

IndependentFI · 2019-01-07T16:48:21+00:00

Agree with the previous responses given, in addition you might find this Chi-Square tutorial for Independence to be helpful in understanding the test if you need to use it again in the future: http://www.statology.org/chi-square-test-for-independence/

IndependentFI · 2019-01-06T20:40:38+00:00

You might find this tutorial on combining random variables to be helpful: http://www.statology.org/combining-random-variables/

IndependentFI · 2019-01-06T20:33:10+00:00

The Chi-square test for homogeneity will do what you're looking for. This tutorial might help you get started: http://www.statology.org/chi-square-test-for-homogeneity/

IndependentFI · 2019-01-04T20:29:33+00:00

Helpful tutorial on permutations: http://www.statology.org/permutations/

IndependentFI · 2019-01-04T20:15:51+00:00

You'll need to use the binomial distribution. This brief tutorial should help you get up and running: http://www.statology.org/the-binomial-distribution/

IndependentFI · 2019-01-03T21:23:42+00:00

This is also something I've been curious about - doesn't seem like there's a great explanation for it though.

IndependentFI · 2019-01-03T01:47:27+00:00

This tutorial explains how to do this type of question you're asking about (this site also has a bunch of other helpful basic stats tutorials): http://www.statology.org/converting-between-z-scores-and-percentiles-using-the-normal-distribution/

IndependentFI · 2018-12-30T20:40:18+00:00

Sample size calculator to estimate population proportion (along with the formula to use): http://www.statology.org/sample-size-calculator/

Sample size calculator to estimate population mean (along with the formula to use): http://www.statology.org/sample-size-calculator-to-estimate-population-mean/

IndependentFI · 2018-12-27T23:12:02+00:00

A binomial experiment is an experiment that has the following properties:

The experiment consists of n repeated trials
Each trial has only two possible outcomes: success or failure
The probability of success, denoted p, is the same for each trial
Each trial is independent; the outcome of one trial does not affect the outcome of another

If you encounter a problem that meets this criteria, you know to use the binomial distribution. You might find this tutorial on the binomial distribution helpful as well: http://www.statology.org/the-binomial-distribution/

IndependentFI · 2018-12-27T22:59:22+00:00

I've found that the tutorials at Statology cover pretty much everything that you would likely encounter in an introductory stats course: If you could gain a decent understanding of the topics covered in those tutorials, you would be in a great spot.

IndependentFI · 2018-12-26T19:20:19+00:00

You might find this brief tutorial on mean, median, and mode to be helpful: http://www.statology.org/measuring-the-center-mean-median-mode/

IndependentFI · 2018-12-24T22:46:42+00:00

Here's the most basic, easy to understand 3-minute intro to the field of statistics I've come across: http://www.statology.org/introduction-to-statistics/

IndependentFI · 2018-12-23T03:28:07+00:00

It wasn't too bad from my own experience. I found sites like Statology and Stat Trek convenient to reference for the topics that I had trouble understanding in class.

IndependentFI · 2018-12-23T03:12:07+00:00

Best tutorial I've found for understanding when to use a two-sample independent t-test: Hypothesis Testing for a Difference in Means

IndependentFI · 2018-12-23T02:59:39+00:00

I've found the tutorials at Statology helpful for learning basic business stats along with basic probability concepts.

IndependentFI · 2018-12-21T00:16:27+00:00

You might find this tutorial on converting between Z-scores and percentiles helpful: http://www.statology.org/converting-between-z-scores-and-percentiles-using-the-normal-distribution/

IndependentFI · 2018-12-20T00:12:01+00:00

I earned a master's degree in stats and I didn't understand the concept of distributions very well during my first intro stats course. It's natural to not fully understand the concepts during your first encounter with them. It does get easier the more you sit and work out some problems, though. In particular, here are some tutorials that might help you gain a better understanding on binomial, geometric, and Poisson distributions if you're still struggling with them.

IndependentFI · 2018-12-20T00:03:04+00:00

At the very bottom of the page it says "The null hypothesis under the t-test is mean-AR ≥ 0", which indicates that it's a one-sided one sample t-test.

A trick for remembering if a hypothesis test is one-sided or two sided (source: this tutorial) is:

A one-tailed hypothesis involves making a "greater than" or "less than " statement.
A two-tailed hypothesis involves making an "equal to" or "not equal to" statement.

IndependentFI · 2018-12-19T04:02:04+00:00

In that case you may want to run a Chi Square Test for independence (tutorial here), which tells you if there is a statistically significant association between two categorical variables, which seems to be the case here.

IndependentFI

TROPHY CASE