Show work if possible please
a)
Source | df | SS | MS | F |
among | 4 | 96 | 24 | 4.00 |
within | 20 | 120 | 6 | |
total | 24 | 216 |
b)
F0.005 =5.17
c)
reject HO if test statistic F >5.17
d)
since F stat is less than the....fail to reject Ho . there is not enough evidence to conclude,,,,,,,
Show work if possible please An experiment has a single factor with five groups and five values in each group. freedom....
An experiment has a single factor with six groups and five values in each group. In determining the among-group variation, there are 5 degrees of freedom. In determining the within-group variation, there are 24 degrees of freedom. In determining the total variation, there are 29 degrees of freedom. Also, note that SSA = 120, SSW = 192, SST = 312, MSA = 24, MSW = 8, and FSTAT = 3. Complete parts (a) through (d). Click here to view page...
An experiment has a single factor with three groups and five values in each group. In determining the among-group variation, there are 2 degrees of freedom. In determining the within-group variation, there are 12 degrees of freedom. In determining the total variation, there are 14 degrees of freedom. Also, note that SSA 36, SSW 108, SST 144, MSA = 18, MSW 9, and FSTAT = 2. Complete parts (a) through (d). Click here to view page 1 of the F...
REGRESSION 2 • reg bught cigs faminc male Source SS df MS = = Model Residual 20477.12 554134.6 3 6825.70666 1,384 400.386272 Number of obs F(3, 1384) Prob > R-squared Adj R-squared Root MSE 1,388 17.05 0.0000 0.0356 0.0335 20.01 - Total 574611.72 1,387 414.283864 bwght Coef. Std. Err. Piti (95Conf. Intervall cigs famine male _cons -.4610457 0913378 .09687980291453 3.113968 1.076396 115.2277 1.20788 -5.050.000 3.32 0.001 2.89 0.004 95.400.000 -.6402212 .0397062 1.002423 112.8582 - 2818702 .1540535 5.225513 117.5972 f) Conduct...
An experiment has a sinale factor with 3 aroups and 5 values in each aroup. In determining the among-group variation, there are 2 degrees of freedom. In determining the within-group variation, there are12 degrees of freedom In determining the total variation, there are14degrees of freedom. Also, note that SSA = 42 SsW 84, SST= 126, MSA = 21, MSW = 7, and FSTAT = 3. Complete parts (a) through (d). a. Construct the ANOVA summary table and fill in all...
Question Help 11.1.3 An experiment has a single factor with three groups and two values in each group. In determining the among-group variation, there are 2 degrees of freedom In determining the within-group variation, there are 3 degrees of freedom In determining the total variation, there are 5 degrees of freedom. Also, note that SSA 40, SSW 12, SST-52, MSA 20, MSW 4, and FgTAT 5. Complete parts (a) through (d) Click here to view page 1 of the Ftable...
The ANOVA summary table for an experiment with six groups, with five values in each group, is shown to the right. Complete parts (a) through (d) below. Source Degrees of Freedom Sum of Squares Mean Square (Variance) F Among groups C −1 =55 SSA=150 MSA =3030 FSTAT =3.003.00 Within groups n- c = 2424 SSW =240 MSW =1010 Total N −1 =2929 SST = 390 a. At the 0.05 level of significance, state the decision rule...
Could you please help me with questions 1a-1b please? ( since i could only find the formula needed for 1a, if u aren't sure with 1b u can just do 1a but please dont reply "no enough data given " because i have a lil systemical problem with replying the comments) * the first question was asked to complete the anova table ( table 9.1 in the picture ) by using the formulas ( in the pictures) * I have...
1. Two manufacturing processes are being compared to try to reduce the number of defective products made. During 8 shifts for each process, the following results were observed: Line A Line B n 181 | 187 Based on a 5% significance level, did line B have a larger average than line A? *Use the tables I gave you in the handouts for the critical values *Use the appropriate test statistic value, NOT the p-value method *Use and show the 5...
Gain (V/V) R Setting Totals Averages Sample 1 Sample 2 Sample 3 4 ап 7.8 8.1 7.9 3 5.2 6.0 4.3 = 359.3 i=1 j=1 2 4.4 6.9 3.8 1 2.0 1.7 0.8 This is actual data from one of Joe Tritschler's audio engineering experiments. Use Analysis of Variance (ANOVA) to test the null hypothesis that the treatment means are equal at the a = 0.05 level of significance. Fill in the ANOVA table. Source of Variation Sum of Squares...
Gain (V/V) R Setting Totals Averages Sample 1 Sample 2 Sample 3 4 ап 7.8 8.1 7.9 3 5.2 6.0 4.3 = 359.3 i=1 j=1 2 4.4 6.9 3.8 1 2.0 1.7 0.8 This is actual data from one of Joe Tritschler's audio engineering experiments. Use Analysis of Variance (ANOVA) to test the null hypothesis that the treatment means are equal at the a = 0.05 level of significance. Fill in the ANOVA table. Source of Variation Sum of Squares...