Answer:
Alternative hypothesis: "AT LEAST ONE" of the population means is different from the others
Step-by-step explanation:
Analysis of variance (ANOVA) "is used to analyze the differences among group means in a sample".
The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"
If we assume that we have n groups and we want to check if the population means are equal, th best way to check this it's with an ANOVA test.
The hypothesis for this case are:
Null hypothesis:
Or in words:
Null hypothesis: All treatments/samples come from populations with the same mean
Alternative hypothesis: Not all the means are equal 
Or we can say:
Alternative hypothesis: "AT LEAST ONE" of the population means is different from the others
Answer:
add a point 4 units to the left
Step-by-step explanation:
Just use quizlet and you’ll get all the answers
There r 2 ways to do this....percent to decimal
(1) u can divide by 100.....289/100 = 2.89
(2) u can move the decimal 2 spaces to the left....2.89
just so u know ... decimal to percent
(1) multiply by 100
(2) move decimal 2 spaces to right
Answer: P = 0.28
Step-by-step explanation:
If we pick it at random, the probability of selecting each tile must be equal. this means that the probability of picking a tile of a giving color is equal to the number of the tiles of that color divided the total number of tiles.
We have 14 beige tiles and 20 + 14 + 16 = 50 tiles in total.
Then the probability of piking a beige tile is:
P = 14/50 = 0.28