Showing Page:
1/3
MATHS
Question 1
The main reason as to why the four at-bats are a binomial experiment is because the results of all
the trial are independent. This is to imply that they depend on the number of hits made by the
player (Albert, 2017)
Question 2
No. of hits
frequency
probability
0
200
0
1
200
200
2
200
100
3
200
66.67
4
200
50
5
200
40
Question 3
Mean number of hits =
Fi
XiFi
=
200
)2004()2003()2002()2001()2000( xxxxx ++++
= 0.200
These numerical represent the number of hits made by the player during each single game.
Showing Page:
2/3
Question 4
No. of hits
Computing Bionaml(n,p,x)
Probability
0
Bionaml (4,0.200,0)
0.000
1
Bionaml (4,0.200,1)
0.005
2
Bionaml (4,0.200,2)
0.010
3
Bionaml (4,0.200,3)
0.015
4
Bionaml (4,0.200,4)
0.020
This therefore indicates that this a probability distribution because we only interested
with the number of hits the player will get during the game (Rothman, 2012).
Question 5
Batting average = number of hits/ number of at-bats
Number of hits
Number of at-bats
Batting average
0
0
0.000
1
1
1.000
2
2
1.000
3
3
1.000
4
4
1.000
Showing Page:
3/3
Question 6
Answer in excel spreadsheet
Question 7
The mean number of success = 8
Question 8
From the results computed above, the probability distribution of four at bats and the
Binomial Distribution obtained from different trials are obviously independent. The means
obtained in 4 and 6 are different because of the average number of trials made are not the same.
Likewise, the probability distribution of 4 at bats and the Binomial Distribution differs because
the probability of a successful trial made by the player is not the same for all the hits made
(Albert, 2017)
Bibliography
Albert, J. (2017). Teaching statistics using baseball. Washington, DC: The Mathematical
Association of America.
Rothman, S. (2012). Sandlot stats: Learning statistics with baseball. Baltimore: Johns
Hopkins University Press.

Unformatted Attachment Preview

MATHS Question 1 The main reason as to why the four at-bats are a binomial experiment is because the results of all the trial are independent. This is to imply that they depend on the number of hits made by the player (Albert, 2017) Question 2 No. of hits frequency probability 0 200 0 1 200 200 2 200 100 3 200 66.67 4 200 50 5 200 40 Question 3 Mean number of hits = =  XiFi  Fi (0 x 200) + (1x 200) + (2 x 200) + (3 x 200) + (4 x 200) 200 = 0.200 These numerical represent the number of hits made by the player during each single game. Question 4 No. of hits Computing Bionaml(n,p,x) Probability 0 Bionaml (4,0.200,0) 0.000 1 Bionaml (4,0.200,1) 0.005 2 Bionaml (4,0.200,2) 0.010 3 Bionaml (4,0.200,3) 0.015 4 Bionaml (4,0.200,4) 0.020 This therefore indicates that this a probability distribution because we only interested with the number of hits the player will get during the game (Rothman, 2012). Question 5 Batting average = number of hits/ number of at-bats Number of hits Number of at-bats Batting average 0 0 0.000 1 1 1.000 2 2 1.000 3 3 1.000 4 4 1.000 Question 6 Answer in excel spreadsheet Question 7 The mean number of success = 8 Question 8 From the results computed above, the probability distribution of four at bats and the Binomial Distribution obtained from different trials are obviously independent. The means obtained in 4 and 6 are different because of the average number of trials made are not the same. Likewise, the probability distribution of 4 at bats and the Binomial Distribution differs because the probability of a successful trial made by the player is not the same for all the hits made (Albert, 2017) Bibliography Albert, J. (2017). Teaching statistics using baseball. Washington, DC: The Mathematical Association of America. Rothman, S. (2012). Sandlot stats: Learning statistics with baseball. Baltimore: Johns Hopkins University Press. Name: Description: ...
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4