A negative exponent means the number of the exponent divide by the number. The the radius of beryllium atom is larger than the radius of a nitrogen atom by two times.
Given information-
The radius of a nitrogen atom is 
meters.
The radius of a beryllium atom is 
meters
<h3>Negative exponents</h3>
A negative exponent means the number of the exponent divide by the number.
As the radius of the nitrogen atom is meters. Convert it in the power of negative exponent of 10.
Let the radius of the nitrogen is 
mm. Thus,
Now the base of the exponents of both the atoms are same. As the radius of the nitrogen atom is 
meters and the radius of the beryllium atom is . Thus the radius of beryllium atom is larger.
To calculate how many times, the radius of beryllium atom should be divided by the radius of a nitrogen atom. Thus,
Thus the the radius of beryllium atom is larger than the radius of a nitrogen atom by two times.
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Answer:
y = 64 and x =99
Step-by-step explanation:
y+116 =180
y=64
and
x+y+72+135=360
x=99
Answer:
c = 105 degres
Step-by-step explanation:
When two lines cross like that and form an x, the opposite sides are equal (so the angle below the 75 degree one is also 75 degees). Using this, you can figure out the rest.
If both the top an bottom are equal, you know that 150 degres are taken (75+75) and you know that there can only be 360 degres in total here, so you subtract 150 from 360 and get 210. Now you know that the last two sides together are 210, and since they are equal, you divide it by two to get 105 degrees.
His/her lowered score was most likely due to statistical regression.
<h3>How to determine the reason?</h3>
The missing options in the question are:
A. compensation rivalry B. Demoralization C. Differential selection
D. Testing E. Statistical regression
From the question, we have:
- September = 99th percentile
- February = 90th percentile
A change (whether higher or lower) in the score is caused by statistical regression.
This is so because several variables could attribute to the change in the score.
The relationship between these variables is referred to as statistical regression
Read more about statistical regression at:
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4 cos² x - 3 = 0
4 cos² x = 3
cos² x = 3/4
cos x = ±(√3)/2
Fixing the squared cosine doesn't discriminate among quadrants. There's one in every quadrant
cos x = ± cos(π/6)
Let's do plus first. In general, cos x = cos a has solutions x = ±a + 2πk integer k
cos x = cos(π/6)
x = ±π/6 + 2πk
Minus next.
cos x = -cos(π/6)
cos x = cos(π - π/6)
cos x = cos(5π/6)
x = ±5π/6 + 2πk
We'll write all our solutions as
x = { -5π/6, -π/6, π/6, 5π/6 } + 2πk integer k
