Answer:
they would get somewhere from 80% to 85%
Step-by-step explanation:
Some periodic motions, also known as armonic motions, with which much of us are familiar with are:
- The motion of the swinger when a kid is balancing forward and backward
- The motion of a pendulum
- The motion of the needles of a watch.
- The motion of a satelite around a planet.
- The spinning of the wheel of a stationary bycicle.
- A rocking chair
All the motions in which the object passes once and other times through the same point are periodic motions.
Both scientists and businesses are interested in tracking periodic motions using equations because they appear in many situations in nature and in daily life. The cycles are examples of periodic motion. By tracking this type of motion you can make models that permit you to explain the phenomena and predict cycles. This is predict facts that repeast with a certain period.
<h2>Answer = </h2><h2>

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Step-by-step explanation:
Greetings !
simplify for variable y first
apply exponent rule

Add/subtract the numbers -8+3=5

Apply exponent rule

Thus,

secondly, simplify for the variable x
Apply exponent rule as we made on y


multiply bot the values we get
Hope it helps!
Because it accurately depicts the distribution of values for many natural occurrences, it is the most significant probability distribution in statistics.
The most significant probability distribution in statistics for independent, random variables is the normal distribution, sometimes referred to as the Gaussian distribution. In statistical reports, its well-known bell-shaped curve is generally recognized.
The majority of the observations are centered around the middle peak of the normal distribution, which is a continuous probability distribution that is symmetrical around its mean. The probabilities for values that are farther from the mean taper off equally in both directions. Extreme values in the distribution's two tails are likewise rare. Not all symmetrical distributions are normal, even though the normal distribution is symmetrical. The Student's t, Cauchy, and logistic distributions, for instance, are all symmetric.
The normal distribution defines how a variable's values are distributed, just like any probability distribution does. Because it accurately depicts the distribution of values for many natural occurrences, it is the most significant probability distribution in statistics. Normal distributions are widely used to describe characteristics that are the sum of numerous distinct processes. For instance, the normal distribution is observed for heights, blood pressure, measurement error, and IQ scores.
Learn more about probability distribution here:
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Answer is -6. Whatever number is closer to 0 when negative will always be bigger. Good luck!