Response: pw Df Sum Sq Mean Sq F value Pr(F) sw 1 11.605 11.605 375.1948

Q: Response: pw Df Sum Sq Mean Sq F value Pr(>F) sw 1 11.605 11.605 375.1948 < 2e-16 *** spec 2 70.172 35.086 1134.3886 < 2e-16 *** sl 1 0.113 0.113 3.6628 0.05764 . spec:sl 2 0.257 0.129 4.1598 0.01754 * Residuals 143 4.423 0.031 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 what is test stats and p-value

It looks like you're working with statistical results from an analysis, possibly related to the impact of microorganisms on human health. In your output, the "test stats" refers to the F value, which is a ratio used in ANOVA (Analysis of Variance) to compare the variance between groups to the variance within groups. A higher F value indicates a greater degree of difference between the groups being compared. The "p-value" indicates the probability that the observed results would occur by chance if the null hypothesis were true. In your results, p-values less than 0.05 (like those shown for "sw" and "spec") suggest that there is a statistically significant difference between the groups. The asterisks next to the p-values indicate the level of significance, with more asterisks representing stronger evidence against the null hypothesis. If you have any specific questions about interpreting these results or how they relate to your study on microorganisms, feel free to ask!

Question

Response: pw
           Df Sum Sq Mean Sq   F value  Pr(>F)    
sw          1 11.605  11.605  375.1948 < 2e-16 ***
spec        2 70.172  35.086 1134.3886 < 2e-16 ***
sl          1  0.113   0.113    3.6628 0.05764 .  
spec:sl     2  0.257   0.129    4.1598 0.01754 *  
Residuals 143  4.423   0.031                      
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 what is test stats and p-value

Accepted Answer

It looks like you're working with statistical results from an analysis, possibly related to the impact of microorganisms on human health. In your output, the "test stats" refers to the F value, which is a ratio used in ANOVA (Analysis of Variance) to compare the variance between groups to the variance within groups. A higher F value indicates a greater degree of difference between the groups being compared. The "p-value" indicates the probability that the observed results would occur by chance if the null hypothesis were true. In your results, p-values less than 0.05 (like those shown for "sw" and "spec") suggest that there is a statistically significant difference between the groups. The asterisks next to the p-values indicate the level of significance, with more asterisks representing stronger evidence against the null hypothesis. If you have any specific questions about interpreting these results or how they relate to your study on microorganisms, feel free to ask!

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