No, F can never be smaller than 1; it can equal 1.
The F-test is designed to test if two population variances are equal. It compares the ratio of two variances. If the variances are equal, the ratio of the variances will be 1.The F-test provides the basis for ANOVA which can compare two or more groups.One-way (or one-factor) ANOVA: Tests the hypothesis that means from two or more samples are equal.Two-way (or two-factor) ANOVA: Simultaneously tests the hypothesis that the means of two variables from two or more groups are equal.
In a two-way ANOVA on the surface, the relate in an equation the total variation, , where i=1,2,…,a and j=1,2,…,b; the explained variation by the "treatment" or first factor is , the explained variation by the "block" or second factor is and the unexplained variation . SST= SSA+SSB +SSE Degrees of freedom N-1 a-1 b-1 (a-1)(b-1) N=ab
It could mean: 1/3+1/3 = 2/3
If you mean strictly between , so that 1 and 10000 are both excluded, the answer is 38,888
In ANOVA, what does F=1 mean? What are the differences between a two sample t-test and ANOVA hypothesis testing? When would you use ANOVA at your place of employment, in your education, or in politics?
The null hypothesis for a 1-way ANOVA is that the means of each subset of data are the same.
Strictly speaking, n is the total number of observations in the sample. However, many computer ANOVA programs calculate the grand mean of the observations by default and then deduct one degree of freedom from n to account for the mean, presenting what is in fact n-1 in their outputs.
The prefix hecto regards one hundred. Thus, a 1-hectometer (Hm) regards 100-meters (m). 1000-meters also equals 1-kilometer (Km). Converting the units 10-hm equals 1-km. 5-km then equals 50-hm.
No, F can never be smaller than 1; it can equal 1.
In a one-way ANOVA, the relate in an equation the total variation, , where i=1,2,…,a and j=1,2,…,n_i; the explained variation and the unexplained variation SST=SSA+SSE Degrees of freedom N-1 a-1 N-a
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1 plus 1 does not mean anything it equals 2.?
Assuming you mean base 10, it equals 91.
Two way ANOVA
2 and a 1/2
If you mean 18 x 1/2 it equals 9