Statistical Analysis, Binomial Investigations & Predicting The Pattern of The LEGO Tower Marks - Statistics Assignment Help

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Outcomes assessed 
applies appropriate statistical processes to present, analyze and interpret data ME12-5
chooses and uses appropriate technology to solve problems in a range of contexts ME12-6
evaluates and justifies conclusions, communicating a position clearly inappropriate mathematical forms ME12-7

 

Part A: Predicting the Pattern of the LEGO Tower Marks                        
Investigate towers up to 10 rows high. Calculate the probability that in each row there are no blue bricks, exactly one blue brick, exactly two blue bricks or exactly three blue bricks. 
Summarise your findings in a table similar to the model shown below.

Number of blue bricks

0

1

2

3

Row 1

 

 

 

 

Row 2

 

 

 

 

Row 3

 

 

 

 

 

 

 

 

Row 10

 

 

 

 

 

2 -What pattern in the probabilities of exactly 0, 1, 2, or 3 blue bricks do you observe?    
3 -Consider building the tower to a height of n rows. Write generalized rules for exactly 0, 1, 2, or 3 blue bricks in the 10th row. Generalize this to the nth row
4 -(i)Create a spreadsheet to calculate the probability of various numbers of blue bricks (clearly showing the formula used) in rows of different lengths up to Row 10. Label the columns with the number of blue bricks and the rows with the number of bricks in the row as in the table given above.
(ii)What effect does altering the probability of a cell being colored blue have on the patterns or rules you have discovered? Investigate at least three different values for the probability that the brick is blue.
5 -Research the term ‘Galton Board’ on the internet. For the LEGO towers created above, if a red brick represents a ball falling to the left, and blue brick represents a ball falling to the right, explain how the towers can be used to represent the probabilities of balls falling down a Galton Board. Explain your answer.


Part B: Jury Selection Procedures
It is expected that the composition of any jury will reflect the demographics of the surrounding community. When it does not, then doubts about the fairness of the jury selection process and legal challenges can arise. Although jurors are not selected solely by chance, comparing the actual jury to the composition that would occur if they were selected at random can tell lawyers whether there are grounds to investigate the fairness of a selection process.

  • In 1953 there was a historic case concerning jury selection. A jury in Fulton County, Georgia had convicted Avery, an African-American, of a serious felony. The facts of the jury selection were as follows:
  • There were no African-Americans on the jury. 
  • There were 165 814 African-Americans in Fulton County, which had a population of 691 797. 
  • The list of 21 624 potential jurors had 1115 African-Americans. 

A jury pool of 60 people was selected from the list of 21 624 potential jurors, from which the final pool of 12 actual jurors was selected. The pool of 60 people had no African-Americans in it.


Note: You may require an online high-precision calculator that displays more decimal places than a handheld calculator to compute some of these probabilities.
 

1 -If 12 jurors were selected at random from the population of Fulton County, estimate the probability that there would be no African-Americans on the jury.
2 -Can having only 1115 African-Americans on the list of 21 624 potential jurors be attributed to chance?
3 -The jury pool of 60 people was selected from the list of 21 624 potential jurors. Can getting no African-Americans in the jury pool be attributed to chance?
4 -The US Supreme Court overturned Avery’s conviction. Outline the statistical evidence that could have been used in the appeal case regarding jury selection.
 

 

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