In: Statistics and Probability
The following table shows the number of wins eight teams had during a football season. Also shown are the average points each team scored per game during the season. Construct a 90% prediction interval to estimate the number of wins for teams that scored an average of 27 points a game
Wins |
13 |
7 |
3 |
9 |
3 |
7 |
11 |
8 |
|
---|---|---|---|---|---|---|---|---|---|
Points per Game |
25.5 |
18.5 |
20.3 |
24.5 |
12.2 |
22.5 |
22.9 |
23.6 |
Determine the upper and lower limits of the prediction interval.
UPL=
LPL=
SOLUTION :
From given data,
Construct a 90% prediction interval to estimate the number of wins for teams that scored an average of 27 points a game
Where ,
90% = 90 / 100 = 0.9
= 1-0.9
= 0.1
sample number = n =8
Wins | Points Per Game (X) | |
13 | 25.5 | (25.5- 21.25)2 = 18.0625 |
7 | 18.5 | (18.5- 21.25)2 = 7.5625 |
3 | 20.3 | (20.3- 21.25)2 = 0.9025 |
9 | 24.5 | (24.5- 21.25)2 = 10.5625 |
3 | 12.2 | (12.2- 21.25)2=81.9025 |
7 | 22.5 | (22.5- 21.25)2 = 1.5625 |
11 | 22.9 | (22.9- 21.25)2 = 2.7225 |
8 | 23.6 | (23.6- 21.25)2 = 5.5225 |
= 170 = 128.8
Mean = = = 170/8
= 21.25
Variance= = =
= 128.8 / 7
= =18.4
Standard deviation ==
= s = 4.289
Degree of freedom (df) = n-1 = 8-1 = 7
tcritical = t,df = t0.1,7 = 1.895 (for two tailed test)
Confidence interval
CI = /
= 21.25 1.895 4.289 /
= 21.25 1.8951.51639
= 21.25 2.87355
(21.25 - 2.87355 , 21.25 - 2.87355)
(18.3764 , 24.1235)
where,
UPL = 24.1235
LPL = 18.3764