You would need to measure the magnetic field first in order to do so
Answer:
<em>A normal distribution</em> is a general distribution that represents any normally distributed data with any possible value for its parameters, that is, the mean and the standard deviation. Conversely, <em>the standard normal distribution</em> is a specific case where the mean equals zero and the standard deviation is the unit. That is why we can refer to <em>a normal distribution</em> and <em>the standard normal distribution</em>.
Step-by-step explanation:
We have to remember that <em>a normal distribution</em> has two parameters that define it, namely, <em>the mean</em> and <em>the standard deviation</em>, and there are, theoretically, infinite possible means and standard deviations, so we tell about <em>a </em>normal distribution in general.
Conversely, <em>the</em> standard normal distribution is <em>a normal distribution</em> with a mean = 0 and a standard deviation = 1, and we also have to remember that is possible to 'convert' or 'transform' any raw score from any normally distributed data into a z-score to find its probability using <em>the</em> standard normal distribution. The formula for a z-score is as follows:
Where
.
.
.
In other words,<em> the standard normal distribution</em> is a specific case for normally distributed data whose values are standardized or represent distances from the mean in standard deviations units, and thanks to this, we can find any associated probability with these values for any possible normal distribution (see the graph below).
X^2 + 5x + 4
list the factors of 4 1*4 and 2*2
which of the factors add up to 5 1 + 4 = 5
(x + 1)(x + 4)
x^2 - 7x + 10
list the factors of 10 1*10 and 2*5
which of these factors add up to 7 2 + 5 = 7
since it is -7 it will be -2 + -5 = -7
(x - 2)(x - 5)
B, no
Subtract 2c from both sides to get
-c=-4
Multiply by -1 to get
c=4