( example- Monday, 7 customers )	P (x = 7) = 7/125 = 0.056
Tuesday, 9 customers	P (x = 9) = 9/125 = 0.072
Wednesday, 14 customers	P (x = 14) = 14/125 = 0.112
Thursday, 24 customers	P (x = 24) = 24/125 = 0.192
Friday, 32 customers	P (x = 32) = 32/125 = 0.256
Saturday, 24 customers	P (x = 24) = 24/125 = 0.192
Sunday, 15 customers	P (x = 15) = 15/125 = 0.120

1. A) Does this data appear to fit a uniform distribution? and B) Why or Why NOT ?

Questions 14 and 15 refer to Geometric Distribution ( pp 259- .

You are performing the geometric probability experiment of rolling one fair six-sided die multiple times.

14. Calculate the final probability, P, of rolling a: [ one ( 1 ) or a three ( 3 ) or a five ( 5 ) ] on the fifth throw of the die.

For full credit, report your result as both a decimal and as a percentage.

Success = 1/6 ( for a 1 ) OR Success = 1/6 ( for a 3 ) OR Success = 1/6 ( for a 5 ), but only on the 5^th throw.

Failure = 5/6 for any # other than 1 or 3 or 5 for each of the first four throws.

15. Are the multiple throws independent? Thoroughly explain for full credit.