Answer:
#11
2 is best described as Term one
x is best described as the Variable
16 is best described as Term two
#12
2x10=20
Step-by-step explanation:
I am pretty sure of my answers.
Hope this helped lots and lots,
sincerely, me
Answer:
Step-by-step explanation:
20:50
elephant goes bark and cat goes among us
Step-by-step explanation:
yes
Answer:
Statistical error is the difference between the estimated or approximated value and the true value.
<u>Two Possible Types of Statistical Error</u>
Type I Errors occur when we reject a null hypothesis that is actually true; the probability of this occurring is denoted by alpha (a).
Type II Errors are when we accept a null hypothesis that is actually false; its probability is called beta (b).
<u>Example </u>
You test whether a new drug intervention can alleviate symptoms of an autoimmune disease.
A Type I error happens when you get false positive results: you conclude that the drug intervention improved symptoms when it actually didn’t. These improvements could have arisen from other random factors or measurement errors.
A Type II error happens when you get false negative results: you conclude that the drug intervention didn’t improve symptoms when it actually did. Your study may have missed key indicators of improvements or attributed any improvements to other factors instead.
you'll first need to understand the symbols, I've attched a cheat sheet :)
you'll need to see if AB is linked to CD reversed.
If not then it's not A
For B you'll have to see if the angles are parralel to each other.
and for C you'll have to see if the angles are the same.
and D is the same as C
so the answer is ab=cd
<h2>now you understand :)</h2>