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xenn [34]
3 years ago
9

What percentage is the shaded area

Mathematics
2 answers:
Sati [7]3 years ago
7 0
90%, as each section is 10 percent!
chubhunter [2.5K]3 years ago
7 0

If one large rectangle is one whole, then two rectangles is 200%.

9 out of 10 triangles will be 180%, as there are two wholes.

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PLEASE ANSWER NOW FOR A TEST
Black_prince [1.1K]
I think it might be b
7 0
3 years ago
The radius of a circle is 4 feet. What is the circle's circumference?<br> r=4 ft<br> Use 3.14 for n.
Alexxandr [17]

Answer:

C = 25.12 feet

Step-by-step explanation:

C = 2 x 3.14 x 4

C = 25.12 feet

8 0
3 years ago
Priya buys 2 pounds of turkey for 10.60
AfilCa [17]

Answer: If you were to divide it by 1 pound of turkey it would be 5.30 but there is no finished question

Step-by-step explanation:

7 0
2 years ago
Read 2 more answers
An 18ft ladder leans against a house, reaching a point 14ft above the ground. How far is the foot of the ladder from the bottom
Arisa [49]

Answer: a^2+b^2=c^2

Step-by-step explanation: (18^2=14^2+c^2)=324=196+c^2

324-196=128 and the square root of 128 is 8 radical 2 or in decimal form 11.31

5 0
3 years ago
Read 2 more answers
shi x, miao w, and tchetgen tchetgen ej. (2020). multiply robust causal inference with double negative control adjustment for ca
fomenos

Reliable causal inference based on observational studies is seriously threatened by unmeasured confounding.

What is unmeasured cofounding?

  • By definition, an unmeasured confounder is a variable that is connected to both the exposed and the result and could explain the apparent observed link.
  • The validity of interpretation in observational studies is threatened by unmeasured confounding. The use of negative control group to reduce unmeasured confounding has grown in acceptance and popularity in recent years.

Although they've been utilised mostly for bias detection, negative controls have a long history in laboratory sciences and epidemiology of ruling out non-causal causes. A pair of negative control exposure and outcome variables can be utilised to non-parametrically determine the average treatment effect (ATE) from observational data that is vulnerable to uncontrolled confounding, according to a recent study by Miao and colleagues.

Reliable causal inference based on observational studies is seriously threatened by unmeasured confounding.

Learn more about unmeasured confounding here:

brainly.com/question/10863424

#SPJ4

5 0
1 year ago
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