Answer:
Math, History, Science
Step-by-step explanation:
Math notebook: 
Science notebook: 
History notebook: 
Math is the least heaviest.
History is in the middle.
Science weighs the most.
Answer:
let the number be x

therefore, the number is 28.
hope helpful <3

btw, don't put the shirts in the same bundle as the socks, you may end up with an unwanted perfume.
Thanks for the question!
Don't forget 0 is a whole number:
0 + 12
1 + 11
2 + 10
3 + 9
4 + 8
5 + 7
6 + 6
Hope this helps!
Answer:
Goodness of fit
Step-by-step explanation:
Given
The theoretical probabilities
<em>See comment for complete question</em>
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Required
The type of test to be use
From the question, we understand that you are to test if the die is loaded or not using the given theoretical probabilities.
This test can be carried out using goodness of fit test because the goodness of fit is basically used to check the possibility of getting the outcome variable from a distribution. In this case, the outcome of the variables are the given theoretical probabilities.
In a nutshell, the goodness fit of test determines if the given data (in this case, the theoretical probabilities) is a reflection of what to expect in the original population.