https://github.com/krypten/playingcardsstatisticalanalysis
Statistical Analysis of Playing Cards (Descriptive Statistics: Final Project)
https://github.com/krypten/playingcardsstatisticalanalysis
data-analysis machine-learning machinelearning python statistics udacity
Last synced: 21 days ago
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Statistical Analysis of Playing Cards (Descriptive Statistics: Final Project)
- Host: GitHub
- URL: https://github.com/krypten/playingcardsstatisticalanalysis
- Owner: krypten
- Created: 2017-03-02T15:49:30.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-03-04T14:20:43.000Z (about 9 years ago)
- Last Synced: 2025-02-28T13:12:03.421Z (over 1 year ago)
- Topics: data-analysis, machine-learning, machinelearning, python, statistics, udacity
- Language: Python
- Size: 209 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Statistical Analysis of Playing Cards (Descriptive Statistics: Final Project)
## Overview
In this project, I have conducted an experiment dealing with drawing from a deck of playing cards and you can see the writeup containing my findings [here](#analyis-report-and-steps).
This experiment will require the use of a standard deck of playing cards. This is a deck of fifty-two cards divided into four suits (spades (♠), hearts (♥), diamonds (♦), and clubs (♣)), each suit containing thirteen cards (Ace, numbers 2-10, and face cards Jack, Queen, and King). You can use either a physical deck of cards for this experiment or you may use a virtual deck of cards such as that found on random.org (http://www.random.org/playing-cards/). In this task, I have assigned each card a value: The Ace takes a value of 1, numbered cards take the value printed on the card, and the Jack, Queen, and King each take a value of 10.
## Analyis Report And Steps
### Plotting a histogram of card values
The histogram depicts the relative frequencies of the card values.
##### Frequency of the card value
##### Relative Frequency of the card value
### Obtaining samples from a deck of cards
I will get samples for the new distribution. Procedure: To obtain a single sample, shuffle my deck of cards and draw three cards from it. (I will be sampling from the deck without replacement.) Record the cards that I have drawn and the sum of the three cards’ values. Replace the drawn cards back into the deck and repeat this sampling procedure a total of at least thirty times.
### Descriptive statistics regarding sample taken
Include at least two measures of central tendency and two measures of variability.
Mean :- 23.375
Median :- 25.0
Mode :- 28
Standard Deviation :- 5.94427245338
Interquartile range(IQR) :- 9.25
### Plotting a histogram of sampled values
The histogram show sums for the sampled card.
##### Frequency of the sampled distribution card values
##### Normal Distribution of the sampled distribution card values
##### Questions
Q: How are both the histograms different, and why is this the case?
A:
### Estimates based on the sampled distribution
Make some estimates about values you will get on future draws.
Q. Within what range will you expect approximately 90% of your draw values to fall?
A.
Q. What is the approximate probability that you will get a draw value of at least 20?
A.