table for f distribution
DESCRIPTION
F Distribution (Statistics)TRANSCRIPT
Temperature Monitoring LogsheetDate: 10-20-2010 to 10-26-2010Time: 1:00 pm
TemperatureLocation D - 1 D - 2 D - 3 D - 4 D - 5
1 Entrance 1 24.2 24.9 24.5 27.7 27.22 Entrance 2 24.9 24.8 23.8 26.2 24.63 Entrance 3 24.7 25.7 25.1 25.5 24.74 Activity Area 24.6 26.2 25.8 25.3 24.45 Supermarket Hallway 23.3 26.5 24.6 24.3 25.16 Supermarket Selling Area 22.5 25.4 24.1 24.9 24.17 2nd Floor Mall Area 24.8 25 25.4 24.2 24.98 Foodcove 23.9 24.3 25.7 24.3 24.39 3rd Floor Mall Area 24.1 23.8 22.8 25.4 23.310 Timezone 25.2 25.9 24.2 26.1 24.811 Department Store Selling Area 23.4 23.4 23.3 23.3 23.312 B3 Counter 25.4 24.9 24.1 24.3 24.413 Cinema 1 22.4 25.5 23.8 22.2 22.414 Cinema 2 22.6 21.8 22.8 22.6 22.915 Cinema 3 23.2 23.5 22.8 23.3 23.116 Cinema 4 23.1 23.7 22.6 22.8 23.2
Use a 0.05 level of significance to test the hypothesis that(a) same coldness can be felt despite what day of the week;(b) air-condition equally defused inside the mall;
HypothesesH
o': air-condition equally defused inside the mall
HA': air-condition not equally defused inside the mall
Ho'': same level of coldness can be felt each day
HA'': different level of coldness can be felt each day
Level of Significance: α = 0.05
TemperatureD - 6 D - 7
29.4 23.527.5 23.728.5 24.823.6 24.824.4 23.524.2 23.325.2 23.723.2 23.823.5 22.424.1 23.423.1 22.725.1 24.120.8 20.422.4 21.222.4 22.221.8 22.1
Use a 0.05 level of significance to test the hypothesis that(a) same coldness can be felt despite what day of the week;(b) air-condition equally defused inside the mall;
TABLE 1Analysis of Variance for the Two-Way Classification with single observation per cell
Source of VariationSum of Squares Mean Square Computed f
Row Means SSR r - 1SSR
r - 1
Column Means SSC c - 1SSC
c - 1
Error SSE (r - 1)(c - 1)SSE
(r - 1)(c - 1)
Total SST rc - 1
The sums of squares are usua'ly obtained by means of the following computational formulas:
Sum-of-Squares Computational Formulas
The computation in an analysis-of-variance problem, for a two-way classification with single observations per cell, are usually summarized as in Table 1
Degrees of Freedom
s1
2 = f1 =
s2
2 = f2 =
s3
2 =
SST =
1
r
i 1
c
j
Xij
2
==
T ..2
rc
SSR = 1
r
i
Ti .
2
=
c
T..
2
rc
SSC = 1
c
j
T. j2
=
r
T..
2
rc
SSE = SST - SSR - SSC
TABLE 1Analysis of Variance for the Two-Way Classification with single observation per cell
Computed f
The sums of squares are usua'ly obtained by means of the following computational formulas:
The computation in an analysis-of-variance problem, for a two-way classification with single observations per
s1
2
s3
2
s2
2
s3
2
TemperatureLoc. Label D - 1 D - 2 D - 3 D - 4 D - 5
1 Entrance 1 24.2 24.9 24.5 27.7 27.22 Entrance 2 24.9 24.8 23.8 26.2 24.63 Entrance 3 24.7 25.7 25.1 25.5 24.74 Activity Area 24.6 26.2 25.8 25.3 24.45 Supermarket Hallway 23.3 26.5 24.6 24.3 25.16 Supermarket 22.5 25.4 24.1 24.9 24.17 2nd Floor Mall Area 24.8 25 25.4 24.2 24.98 Foodcove 23.9 24.3 25.7 24.3 24.39 3rd Floor Mall Area 24.1 23.8 22.8 25.4 23.310 Timezone 25.2 25.9 24.2 26.1 24.811 Department Store 23.4 23.4 23.3 23.3 23.312 B3 Counter 25.4 24.9 24.1 24.3 24.413 Cinema 1 22.4 25.5 23.8 22.2 22.414 Cinema 2 22.6 21.8 22.8 22.6 22.915 Cinema 3 23.2 23.5 22.8 23.3 23.116 Cinema 4 23.1 23.7 22.6 22.8 23.2
Temperature
Loc. D - 1 D - 2 D - 3 D - 4 D - 5 D - 6 D - 71 24.2 24.9 24.5 27.7 27.2 29.4 23.52 24.9 24.8 23.8 26.2 24.6 27.5 23.73 24.7 25.7 25.1 25.5 24.7 28.5 24.84 24.6 26.2 25.8 25.3 24.4 23.6 24.85 23.3 26.5 24.6 24.3 25.1 24.4 23.56 22.5 25.4 24.1 24.9 24.1 24.2 23.37 24.8 25 25.4 24.2 24.9 25.2 23.78 23.9 24.3 25.7 24.3 24.3 23.2 23.89 24.1 23.8 22.8 25.4 23.3 23.5 22.410 25.2 25.9 24.2 26.1 24.8 24.1 23.411 23.4 23.4 23.3 23.3 23.3 23.1 22.712 25.4 24.9 24.1 24.3 24.4 25.1 24.113 22.4 25.5 23.8 22.2 22.4 20.8 20.414 22.6 21.8 22.8 22.6 22.9 22.4 21.215 23.2 23.5 22.8 23.3 23.1 22.4 22.216 23.1 23.7 22.6 22.8 23.2 21.8 22.1
Total 382.3 395.3 385.4 392.4 386.7 389.2 369.6
146153.29 156262.09 148533.16 153977.76 149536.89 151476.64 136604.16Total2
TemperatureLoc. D - 1 D - 2 D - 3 D - 4 D - 5 D - 6 D - 7
1 585.64 620.01 600.25 767.29 739.84 864.36 552.252 620.01 615.04 566.44 686.44 605.16 756.25 561.693 610.09 660.49 630.01 650.25 610.09 812.25 615.044 605.16 686.44 665.64 640.09 595.36 556.96 615.045 542.89 702.25 605.16 590.49 630.01 595.36 552.256 506.25 645.16 580.81 620.01 580.81 585.64 542.897 615.04 625 645.16 585.64 620.01 635.04 561.698 571.21 590.49 660.49 590.49 590.49 538.24 566.449 580.81 566.44 519.84 645.16 542.89 552.25 501.7610 635.04 670.81 585.64 681.21 615.04 580.81 547.5611 547.56 547.56 542.89 542.89 542.89 533.61 515.2912 645.16 620.01 580.81 590.49 595.36 630.01 580.8113 501.76 650.25 566.44 492.84 501.76 432.64 416.1614 510.76 475.24 519.84 510.76 524.41 501.76 449.4415 538.24 552.25 519.84 542.89 533.61 501.76 492.8416 533.61 561.69 510.76 519.84 538.24 475.24 488.41
Grand Total
SST = 65372.87 -7294860.8
112
SST = 240.184196
SSR =456830.93
-7294860.8
7 112
SST =
1
r
i 1
c
j
Xij
2
==
T ..2
rc
SSR = 1
r
i
Ti .
2
=
c
T..
2
rc
SSR = 128.875625
SSC =1042543.99
-7294860.8
16 112
SSC = 26.3135714
SSE = 240.184196 - 128.87562 - 26.313571
SSE = 84.995
SSC = 1
c
j
T. j2
=
r
T..
2
rc
SSE = SST - SSR - SSC
TemperatureD - 6 D - 729.4 23.527.5 23.728.5 24.823.6 24.824.4 23.524.2 23.325.2 23.723.2 23.823.5 22.424.1 23.423.1 22.725.1 24.120.8 20.422.4 21.222.4 22.221.8 22.1
Total181.4 32905.96175.5 30800.25
179 32041174.7 30520.09171.7 29480.89168.5 28392.25173.2 29998.24169.5 28730.25165.3 27324.09173.7 30171.69162.5 26406.25172.3 29687.29157.5 24806.25156.3 24429.69160.5 25760.25159.3 25376.49
2700.9 456830.93
1042544 7294860.8
Total2
Total4729.644411.034588.224364.694218.414061.574287.584107.853909.154316.113772.694242.653561.853492.213681.433627.79
65372.87
Analysis of Variance for the Two-Way Classification with single observation per cell
Source of VariationSum of Squares Mean Square Computed f
Row Means 128.876 15 8.592
Column Means 26.314 6 4.386
Error 84.995 90 0.944
Total 240.184 111
Decisions:
Degrees of Freedom
s1
2 = f1 =
s2
2 = f2 =
s3
2 =
Note: Critical F is from the tabulation of F Distribution at 0.05 level of significance
(a) Since Computed f (9.10) > Critical F (1.79); Reject Ho' and conclude that air-condition not
equally defused inside the mall
(b) Since Computed f (4.64) > Critical F (2.21); Reject Ho'' and conclude that different level of
coldness can be felt each day
Interpolation
For Critical value F1;
60 = 1.836490 = F1120 = 1.7505
90 - 60=
F1 - 1.8364120 - 60 1.7505 - 1.8364
F1 = 1.7935
For Critical value F2;
60 = 2.254190 = F2120 = 2.175
90 - 60=
F2 - 2.2541
120 - 60=
2.175 - 2.2541
F2 = 2.2146
Computed f Critical F
9.10 1.79
4.64 2.21
' and conclude that air-condition not
'' and conclude that different level of