ANOVA | |||||
Source of Variation | SS | df | MS | F | p-value |
Factor A | 30,865.45 | 3 | 10,288.48 | ||
Factor B | 22,557.30 | 2 | 11,278.65 | ||
Interaction | 119,155.58 | 6 | 19,859.26 | ||
Error | 90,553.57 | 36 | 2,515.38 | ||
Total | 263,131.90 | 47 | |||
(a) What kind of ANOVA is this?
One-factor ANOVA
Two-factor ANOVA with replication
Two-factor ANOVA without replication
(b) Calculate each F test statistic and the
p-value for each F test using Excel's function
=F.DIST.RT(F,DF1,DF2). (Round your
Fcalcvalues to 3 decimal places and
p-values to 4 decimal places.)
Source of Variation | Fcalc | p-value |
Factor A | ||
Factor B | ||
Interaction | ||
(c-1) There is a significant effect due to Factor
A.
True
False
(c-2) There is a significant effect due to Factor
B.
True
False
(c-3) There is a significant interaction between the two
factors.
True
False
a)
Two-factor ANOVA with replication
b)
since F calc =MS(factor)/MS(error)
from above
Source | F | p vlaue |
factor A | 4.090 | 0.0135 |
factor B | 4.484 | 0.0182 |
interaction | 7.895 | 0.0000 |
c-1)here level of significance is not given, considering it to be 0.05
true since p value <0.05
c-2)
true
c-3)
true
(if level of signfiicance is 0.01 ; c1 and c2 are false while c3 is true)
ANOVA Source of Variation SS df MS F p-value Factor A 30,865.45 3 10,288.48 Factor B...
ANOVA Source of Variation SS df MS F p-value Factor A 35,166.79 3 11,722.26 Factor B 22,297.66 2 11,148.83 Interaction 206,903.76 6 34,483.96 Error 125,290.42 36 3,480.29 Total 389,658.63 47 (a) What kind of ANOVA is this? One-factor ANOVA Two-factor ANOVA with replication Two-factor ANOVA without replication (b) Calculate each F test statistic and the p-value for each F test using Excel's function =F.DIST.RT(F,DF1,DF2). (Round your Fcalc values to 3 decimal places and p-values to...
ANOVA Source of Variation Factor A Factor B Interaction Error p-value MS 9,492.72 11,533.52 19,995.89 7,629.83 df 28,478.16 23,067.03 119,975.34 274,673.79 36 Total 446,194.32 47 (a) What kind of ANOVA is this? One-factor ANOVA O Two-factor ANOVA with replication O Two-factor ANOVA without replication (b) Calculate each F test statistic and the p-value for each Ftest using Excers function -F.DISTRT(FDF1,DF2) (Round your Fcalc values to 3 decimal places and p-values to 4 decimal places.) Source of Variation Factor A Factor...
Source of Variation SS df MS F P-value F crit Rows 4.80 4 c f j h Columns a b d g k i Error 15.09 12 e Total 114.07 19 In this Two Way ANOVA, the conclusion you arrive at is that mean blocks are not all the same. True False
Consider the following computer output for an experiment. Source DF SS MS F P-value Factor 5 ? ? ? ? Error ? 27.48 ? Total 29 66.24 Step Reserve Problems Chapter 13 Section 2 Problem 3 Consider the following computer output for an experiment. Source DF Factor 5 Error SS MS F P-value ? ? ? ? 227.48 ? Total 29 66.24 (a) How many replicates did the experimenter use? (b) Fill in the missing information in the ANOVA table....
Consider the following computer output for an experiment. Source DF SS Factor 5 MS F P-value ? ? ? Error 27.68 ? ? 29 66.04 Total (a) How many replicates did the experimenter use? (b) Fill in the missing information in the ANOVA table. Round your answers to three decimal places (e.g. 98.765), except P-value. DF(Error) SS(Factor) MS(Error) MS(Factor) = = F = Round your answer to five decimal places (e.g. 98.76543). P-value = (c) Compute an estimate for o?....
Consider the following computer output for an experiment. SS Source DF Factor 5 MS F P-value ? ? ? ? Error 27.58 ? ? 29 66.14 Total (a) How many replicates did the experimenter use? (b) Fill in the missing information in the ANOVA table. Round your answers to three decimal places (e.g. 98.765), except P-value. DF(Error) = SS(Factor) = MS(Error) = MS(Factor) = F = Round your answer to five decimal places (e.g. 98.76543). P-value = (c) Compute an...
Consider the following computer output for an experiment. SS Source DF Factor 5 MS F P-value ? ? ? Error ? 27.58 ? 29 66.14 Total (a) How many replicates did the experimenter use? (b) Fill in the missing information in the ANOVA table. Round your answers to three decimal places (e.g. 98.765), except P-value. DF(Error) SS(Factor) MS(Error) MS(Factor) = F = Round your answer to five decimal places (e.g. 98.76543). P-value = (c) Compute an estimate for o?. Round...
Consider the following computer output for an experiment. Source DF SS MS F P-value ? ? ? Factor 5 ? Error 27.48 ? ? Total 29 66.24 (a) How many replicates did the experimenter use? (b) Fill in the missing information in the ANOVA table. Round your answers to three decimal places (e.g. 98.765), except P-value. DF(Error) = SS(Factor) MS(Error) MS(Factor) F = Round your answer to five decimal places (e.g. 98.76543). P-value (c) Compute an estimate for o. Round...
Consider the following computer output for an experiment. Source DF Factor 5 SS ? MS F P-value ?? ? Error 27.68 ? ? 29 66.04 Total (a) How many replicates did the experimenter use? (b) Fill in the missing information in the ANOVA table. Round your answers to three decimal places (e.g. 98.765), except P-value. DF(Error) 24.000 SS(Factor) 38.360 MS(Error) 1.153 = F = MS(Factor) 7.672 6.654 Round your answer to five decimal places (e.g. 98.76543). P-value 0.00051 (c) Compute...
Consider the following computer output for a single factor experiment. Source DF SS MS F P-value Factor DF=? 117.4 39.1 F=? P-value = ? Error 16 396.8 MSE=? Total 19 514.2 (a) How many levels of the factor were used in this experiment? (4 points) (b) How many replicates of each leveal did the experimenter use? (4 points) (c) Fill in the missing information in the ANOVA table. DF=? MSE=? F=? (6 points) (d) Estimate the P-value (the estimated range...