Regression to the mean and selection bias are the superfluous variables that are removed by randomly choosing schools for the experiment and control groups.
A statistical phenomenon known as regression to the mean (RTM) states that if a random outcome of any measurement or event is severe in the first example, the second or following outcomes will be less extreme. In other words, it will be somewhat near to the distribution's mean or center.
According to regression to the mean (RTM), if an experiment's first result is extreme, the second result will be more in line with the population mean.
Decisions are made incorrectly as a result of this prejudice.
To mitigate the detrimental impacts of regression to the mean, organizations can exercise critical thinking and undertake a randomized controlled trial (RCT) with an experimental group and a control group.
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Answer: 200+50m>1,250
Step-by-step explanation:
It starts with 200 so that is by itself. The m is added to the number that is changing every so often, in this case $50 a month. They need more than $1,250 so we use the greater than sign.
So sum the prime factors up
25=5*5, 5+5=10
26=2*13, 2+13=15
27=3*3*3, 3+3+3=9
15>10>9
26 is biggest
pick 26
Answer:
(12-7x)
Step-by-step explanation:
144 − 49x²
by observation, we can see that 144 = 12² and 49 = 7²
hence we can rewrite the equation
144 − 49x²
= 12² - 7²x²
= 12² - (7x)²
recall that the expression x² - y² = (x+y)(x-y)
hence,
12² - (7x)²
= (12 + 7x)(12-7x)
(12-7x) appears in the expression above, hence 12 -7x is a factor
Answer:
20
Step-by-step explanation:
Using the rule of radicals
× 
⇔ 
Simplify
= 
= 
× = 2
Thus
6 + 8
= 6(2 ) + 8
= 12 + 8
= 20
