SOCR EduMaterials Activities CoinSampleExperiment

From SOCR
Jump to: navigation, search

Coin Sample Experiment

Description

The coin sample experiment is a simple demonstration of the Bernoulli trial. It consists of n coins being tossed with the probability p of heads as an outcome. Random variable Ij gives the outcome for coin j with 1 representing heads and 0 representing tails. Each trial will be recorded and updated in the data table. Parameters n and p can be modified with scroll bars.

Goal

To provide a simple method for natural occurring phenomena that have two distinct categorical outcomes (e.g. yes/no, true/false, success/failure, etc.) and develop a general perception about the events.

Experiment

Go to the SOCR Experiments and select the Coin Sample Experiment from the drop-down list of experiments on the top left. The image below shows the initial view of this experiment:

SOCR Activities CoinSampleExperiment SubTopic Chui 050307 Fig1.JPG


To the left of the “update/stop” selections are four buttons that represents the beginning and end of the experiment. The play button will display the data after one trial has been completed and the fast forward button will displace the data after a specific number of trials have been performed. The stop button will cease the experiment and the reset button will clear all data information gathered.

The “update” selection allows the experimenter to modify the trials in which the data after 1, 10, 100, or 1000 trials have been performed. The “stop” selection determines the maximum number of trials to be carried out during the experiment.

The larger the value of n is, the more data will be collected. The outcome of the experiment is dependent upon p in which the larger the value p is, the more heads will appear and the smaller the value of p is, the less number of heads will appear. This is illustrated in the image below:

SOCR Activities CoinSampleExperiment SubTopic Chui 050307 Fig2.JPG

Applications

The coin sample experiment is significant for random, categorical variables that may be represented by the Bernoulli distribution [[1]].

For instance, the probability that it may rain on a given day of the week in a selected area may be determined, where n will represent the number of days in the week, x will represent the day that it will rain, and p will represent the probability of rain in the location. The SOCR Coin Sample Experiment allows us to simulate this natural phenomenon on the computer.



Translate this page:

(default)
Uk flag.gif

Deutsch
De flag.gif

Español
Es flag.gif

Français
Fr flag.gif

Italiano
It flag.gif

Português
Pt flag.gif

日本語
Jp flag.gif

България
Bg flag.gif

الامارات العربية المتحدة
Ae flag.gif

Suomi
Fi flag.gif

इस भाषा में
In flag.gif

Norge
No flag.png

한국어
Kr flag.gif

中文
Cn flag.gif

繁体中文
Cn flag.gif

Русский
Ru flag.gif

Nederlands
Nl flag.gif

Ελληνικά
Gr flag.gif

Hrvatska
Hr flag.gif

Česká republika
Cz flag.gif

Danmark
Dk flag.gif

Polska
Pl flag.png

România
Ro flag.png

Sverige
Se flag.gif