Answer:
Chisquare test
t - test
Correlation
ANOVA, F ratio.
Step-by-step explanation:
The Chisquare test is suitable for testing categorical variables with factors levels more than 3.
The t test of independence is suitable for testing continous variable, however re we use the two independent sample t test.
Correlation test is used to examine the relationship between two continous variable, cannot be used for categorical variables.
Analysis of Variance is use to test categorical variables with at lead three factor levels. The F ratio allows measurement and establishing of statistical significance exists between variables.
Answer:
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The answer is -1. This is because you can plug in the negative values to see which ones work.
9u means you're multiplying 9 into that vector, both components. Same with the 2v. 9*3 = 27 and 9*-1 = -9, so your new vector u is <27, -9>. Now let's do v. 2* -6 (twice) = -12, so your new v vector is <-12, -12>. Add those together now, first components of each and second components of each. 27 + (-12) = 15; -9+(-12)=-21. So the addition of those gives us a final vector with a displacement of <15, -21>
Answer/Step-by-step explanation:
As the input increases by 1, the output decreases by 4. The missing number for the Input is 6, and the missing number for output is -17.