25 and 65 because 90 and 90 makes a square
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.
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Answer:
g(3)=31.5-3
Step-by-step explanation:
first you want to find g(1) or g(x). all you have to do for this is divide every number by two, since 2/2 is 1.
g(1)=10.5-1
now to find g(30 you just multiply it all by 3.
g(3)=(10.5-1)*3
g(3)=31.5-3.
Answer:
17
Step-by-step explanation:
3(-2)^2 - 2(-2) + 1
12 - 2(-2) + 1
12 + 5
17
22/7 and 3.14 are the same thing but 3.14 is just a easier whey of saying it/ understanding it
