The possible outcomes of a random experiment and the probability of each outcome is called "a Probability Distribution."
<h3>What is a Probability Distribution?</h3>
A probability is a statistical formula that indicates all of the potential values and probability distributions for a random variable within a specified range.
Some characteristics regarding the Probability Distribution are-
- The range will be bounded by the minimum and greatest possible values, but the precise location of the possible value just on probability distribution relies on a number of factors.
- These variables include the mean (average), standard deviation, skewness, & kurtosis of the distribution.
- Although other regularly used probability distributions exist, the normal distribution, called "bell curve," is perhaps the most common.
- Typically, the technique of generating data for a phenomenon will influence its probability distribution. This is known as the probability density function.
- Likelihood distributions can also be used to generate cumulative distribution functions (CDFs), that cumulatively build up the probability of occurrences and always begin at zero and end at 100%.
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The probability plot shows that the guinea pigs that survived increasingly grew quickly, most likely when they started getting all of the guinea pigs done some came along and that is what the staggering points on the grid.
Answer:
m - 8/3
Step-by-step explanation:
Find the slope of the line between (-3,1) and (6,7) using m = (y2 - y1) / (x2-x1)
which is the change of "y" over the change of "x"
m = (7 - (-1) / 6 - (3)
m = 8/3
