Answer:
The magnetic field is 
Explanation:
Given that,
Speed 
Radius = 0.350 m
We need to calculate the magnetic field
Using formula of magnetic field
Where, m = mass of electron
v = speed of electron
q = charge of electron
r = radius
Put the value into the formula
Hence, The magnetic field is
The find the approximate age of the granite one must know the half-life of potassium-40. The half-life of an element is the period of time in which half atoms of the same substance changes into the isotope of the element. The isotope of potassium-40 is Argon 40. Potassium-40 has a half-life of approximately 1.3 billion years. The rock is approximately 1.3 billion years old.
M/s2 is the SI of an acceleration.
a couple of things that are necessary to measure this :
- use the timing resources to measure the duty cycle
- performing a computationally intensive division operation
When conducting a hypothesis test there are two possible decisions that you can make: reject the null hypothesis or fail to reject the null hypothesis.
A statistical hypothesis test is a method of statistical inference used to decide whether the data at hand sufficiently support a particular hypothesis. Hypothesis testing allows us to make probabilistic statements about population parameters.
When conducting a hypothesis test there are two possible decisions: reject the null hypothesis or fail to reject the null hypothesis. You should remember though, hypothesis testing uses data from a sample to make an inference about a population. When conducting a hypothesis test we do not know the population parameters. In most cases, we don't know if our inference is correct or incorrect.
When we reject the null hypothesis there are two possibilities. There could really be a difference in the population, in which case we made a correct decision. Or, it is possible that there is not a difference in the population (i.e., is true) but our sample was different from the hypothesized value due to random sampling variation. In that case we made an error. This is known as a Type I error.
When we fail to reject the null hypothesis there are also two possibilities. If the null hypothesis is really true, and there is not a difference in the population, then we made the correct decision. If there is a difference in the population, and we failed to reject it, then we made a Type II error.
Learn more about hypothesis test here : brainly.com/question/15980493
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