AP Statistics / Mr. Hansen
5/2/2005

Name: _________________________

AP Free-Response Practice I (100 points)

 

Instructions: Show adequate justification for each answer.

 

 

1.(a)

Explain briefly why, in a linear regression t test, testing for the alternative hypothesis that the true slope is positive is equivalent to testing for the alternative hypothesis that the true r value (usually called r) is positive.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(b)

Determine the true expected probabilities and counts that would occur if the data shown below had come from a normal distribution with mean 500 and s.d. 100. No work is required.

 

 

 

(from 297 randomly chosen SAT math scores)

 

 

 

 

 

 

 

 

 

score < 350

 

20

 

 

 

350 £ score < 475

 

100

 

 

 

475 £ score < 575

 

115

 

 

 

score ³ 575

 

62

 

 

 

 

 

_______

 

 

 

 

 

297

 

 

 

(c)

Perform a goodness-of-fit test to assess whether the data above might have come from a normal distribution with mean 500 and s.d. 100 (the null hypothesis) or from some other type of distribution (the alternative). You must state and verify assumptions for full credit.


 

2.

The FloatFloat.com competition in May had 778 possible chances to win. The 45 student contestants had between 1 and 32 chances each, and 6 winners were randomly chosen.

 

 

(a)

Explain why a simulation is the most appropriate method fro computing a student’s probability of being a winner.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(b)

In a simplified contest in which the 45 contestants each have 1 chance to win (i.e., 45 total numbers, instead of 778), compute the probability that a given student (Max) is one of the 6 winners.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(c)

Describe but do not execute a simulation to estimate the probability that Max is one of the 6 winners in the real FloatFloat contest. Max has 32 chances to win, and notional (fake) data are shown below.

 

 

 

 

Student

# of chances

 

 

 

 

Sharpe

1

 

 

 

 

Shoes

1

 

 

 

 

Armstrong

15

 

 

 

 

Baker

16

 

 

 

 

Clark

14

 

 

 

 

   ·

·

 

 

 

 

   ·

·

 

 

 

 

   ·

·

 

 

 

 

Lemi

22

 

 

 

 

Max

32

 

 

 

 

 

_______

 

 

 

 

Total

778