In: Statistics and Probability
You have 3 dice. Dice A is a fair dice while Dice B and Dice C are not fair. The odd outcomes of Dice B are twice as likely as the even outcomes while the even outcomes of Dice C are twice as likely as the odd outcomes. Each dice is thrown 5,000 times independently and you will use Excel to simulate this experiment.
You have 3 dice. Dice A is a fair dice while Dice B and Dice C
are not fair. The odd outcomes of Dice B are twice as likely as the
even outcomes while the even outcomes of Dice C are twice as likely
as the odd outcomes. Each dice is thrown 5,000 times independently
and you will use Excel to simulate this experiment. 1.1 Plot the
histograms of the outcome from each dice and also the sum of the
outcomes from the 3 dice. Comment on the shape of the histograms.
1.2 Obtain the (empirical) probability distribution of the outcomes
of the three dice in the form of a table. You can use Excel to
construct this table. 1.3 A member in your group repeats this
experiment using three fair dice. He concludes that the result in
1.2 is identical to the experiment using Dice A, B and C.
Here the probabilities are according to the given information.
DATA -> DATA ANALYSIS -> HISTOGRAM
Then select the input range as the probabilities provided and bin range as per your choice. Then click on cumulative distribution and frequency dialog box and click ok.
For
empirical distribution, again click on data and then data analysis
and choose descriptive statistics and then provide the input range
which will be again the probabilities provided. click the dialog
box with summary statistics and click ok.
Repeat
the steps as done in first part with different probabilities
(probabilites as dice A )AND THEN REPEAT THE STEPS FROM SECOND PART
and you will see that the empirical distribution output comes out
to be same.
Column1 | |
Mean | 0.166666667 |
Standard Error | 6.73172E-18 |
Median | 0.166666667 |
Mode | 0.166666667 |
Standard Deviation | 2.85603E-17 |
Sample Variance | 8.15688E-34 |
Kurtosis | -2.266666667 |
Skewness | 1.09330348 |
Range | 0 |
Minimum | 0.166666667 |
Maximum | 0.166666667 |
Sum | 3 |
Count | 18 |