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 
 1.895
1.51639
= 21.25 
 2.87355
(21.25 - 2.87355 , 21.25 - 2.87355)
(18.3764 , 24.1235)
where,
UPL = 24.1235
LPL = 18.3764