First of all, you need to attach images for this one. Second of all, graph it in desmos and compare. Thirdly, whichever looks like this.
Answer:
d) All of the above
Step-by-step explanation:
A one way analysis of variance (ANOVA) test, is used to test whether there's a significant difference in the mean of 2 or more population or datasets (minimum of 3 in most cases).
In a one way ANOVA the critical value of the test will be a value obtained from the F-distribution.
In a one way ANOVA, if the null hypothesis is rejected, it may still be possible that two or more of the population means are equal.
This one way test is an omnibus test, it only let us know 2 or more group means are statistically different without being specific. Since we mah have 3 or more groups, using post hoc analysis to check, it may still be possible it may still be possible that two or more of the population means are equal.
The degrees of freedom associated with the sum of squares for treatments is equal to one less than the number of populations.
Let's say we are comparing the means of k population. The degree of freedom would be = k - 1
The correct option here is (d).
All of the above
Larger = 2smaller + 1 ----(1)
smaller = 2 larger - 17 ----(2)
put (2) in (1)
larger = 2(2larger-17) + 1
larger = 4larger-34+1
-3larger = - 33
so larger= 11
then smaller= 2(11)-17 = 5
answer two integers are 11 and 5
Answer:
x=52
Step-by-step explanation:
90+34
124
180 (sum of all interior angles) - 124
56
x+72+56=180 (straight line)
x+128=180
-128 -128
x=52
*replace to verify*
52+72= 124
124+56= 180 (straight line)
Answer:47m
Step-by-step explanation:
