INVESTIGATING STATISTICAL CONCEPTS, APPLICATIONS, AND METHODS

BRIEF SOLUTIONS TO INVESTIGATIONS 1.6

Investigation 1.6.1: Random Babies

(a) answers will vary

(b) probably not

(c) example results

(d) Most likely: 0 or 1,

least likely: 4

(e) should be close to 1

(f) Graph bounces around when the number of trials is small but then begins to converge to .375.

(g) results will vary, should be around .04.

(h) impossible since if 3 mom’s match, the fourth must as well.

(i) should eventually converge to 1.

(j)

1234    1243    1324    1342    1423    1432

2134    2143    2314    2341    2413    2431

3124    3142    3214    3241    3412    3421

4123    4132    4213    4231    4312    4321

(k) 1/24

(l) 2143, 2341, 2413, 3142, 3412, 3421, 4123, 4312, 4321

(m)

4          2          2          1          1          2         

2          0          1          0          0          1

1          0          2          1          0          0

0          1          1          2          0          0

(n) There are 9 zero’s so the probability is 9/24.

(o) P(X=1) = 8/24

P(X=2) = 6/24

P(X=3) = 0/24

P(X=4) = 1/24

(p) Answers will vary

(q) should be similar

(r) 15/24

(s) 15/24 = 1-(9/24)

(t) 0(9/24) + 1(8/24) + 2(6/24) + 3(0/24) + 4(1/24) = 24/24 = 1.

(u) should be similar

(v) no, no

 

Investigation 1.6.2: Animal Models for Stroke Treatment

(a) X can range from 3 to 7 (since are at most 7 rats in either group)

(b)-(c) results will vary

Example results

(d) It is very surprising to find all 7 in one group (happens about 3% of the time by chance alone)

(e) C(14,7) = 3432

(f) C(10,7) = 120

(g) P(X=7) = 120/3432 = .035, close to the above simulation results

(h) We would be willing to draw a cause and effect conclusion since we have evidence this result didn’t happen just by chance and since it was a randomized comparative experiment, there shouldn’t be any confounding variables.