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Is areas within a continuous probability distribution represent probabilities?
i dont have an idea
Is in the normal distribution the total area beneath the curve represent the probability for all possible outcomes for a given event?
Yes. The total area under any probability distribution curve is always the probability of all possible outcomes - which is 1.
What is the difference between a probability and a fraction?
The probability is always a fraction except when it is 0 or 1. If a probability = 1 then it will definitely happen. If the probability is 0 then it will not happen. If you toss a fair coin the probability of heads is 1/2, and the probability of tails is 1/2. These fractions are representations of the probabilities. Not all fractions are representative of probabilities. Fractions can be used to represent a portion of a whole. Like what portion of a class is boys, and what portion is girls: If there are 8 boys and 7 girls, then the 8/15 of the class is boys, and 7/15 of the class is girls.
Can a pie chart represent who will go 1st 2nd 3rd or 4th in sequence?
No, but it can represent the probability of such an outcome.
Can the fraction 54 represent a probability?
Since 5/4 > 1, it cannot represent a probability of an event A, denoted by Pr(A), because for any event A, 0 ≤ Pr(A) ≤ 1. If A never occur, then Pr(A) = 0; if A always occur, then Pr(A) = 1.
Is areas within a continuous probability distribution represent probabilities?
i dont have an idea
What kind of distribution does a baby's weight represent?
Continuous
Is 0.006 a probability?
No, 0.006 is not a valid probability because probabilities must be between 0 and 1. In this case, 0.006 is less than 0 and therefore cannot represent a probability.
Is it true or false that the histogram of a probability distribution uses the physical area of each bar to represent its assigned probability?
False.
What requirements are necessary for a normal probability distribution to be a standard normal probability?
For a normal probability distribution to be considered a standard normal probability distribution, it must have a mean of 0 and a standard deviation of 1. This standardization allows for the use of z-scores, which represent the number of standard deviations a data point is from the mean. Any normal distribution can be transformed into a standard normal distribution through the process of standardization.
Is in the normal distribution the total area beneath the curve represent the probability for all possible outcomes for a given event?
Yes. The total area under any probability distribution curve is always the probability of all possible outcomes - which is 1.
What is the lowest probability possible?
The lowest probability possible is 0, which indicates that an event is impossible and will not occur under any circumstances. Probabilities range from 0 to 1, where 0 means the event cannot happen and 1 means it is certain to occur. Probabilities between 0 and 1 represent varying degrees of likelihood for different events.
What is the difference between a probability and a fraction?
The probability is always a fraction except when it is 0 or 1. If a probability = 1 then it will definitely happen. If the probability is 0 then it will not happen. If you toss a fair coin the probability of heads is 1/2, and the probability of tails is 1/2. These fractions are representations of the probabilities. Not all fractions are representative of probabilities. Fractions can be used to represent a portion of a whole. Like what portion of a class is boys, and what portion is girls: If there are 8 boys and 7 girls, then the 8/15 of the class is boys, and 7/15 of the class is girls.
Difference between variables and probability distribution?
Assuming you mean random variable here. A random variable is term that can take have different values. for example a random variable x that represent the out come of rolling a dice, that is x can equal 1,2,3,4,5,or 6. Think of probability distribution as the mapping of likelihood of the out comes from an experiment. In the dice case, the probability distribution will tell you that there 1/6 the time you will get 1, 2,3....,or 6. this is called uniform distribution since all the out comes have that same probability of occurring.
Why 1.21 cannot be the probability of some event.?
A probability value must always fall within the range of 0 to 1, where 0 represents an impossible event and 1 represents a certain event. Since 1.21 exceeds this range, it is not a valid probability and cannot represent the likelihood of any event occurring. Probabilities greater than 1 do not have a meaningful interpretation in the context of probability theory.
What number is q for?
It can represent anything that you want - provided that you define it as such. Here are some examples:Algebra: it could represent a typical element in the set of rational numbers.Geometry: In the Cartesian plane (or space), it could represent the ordinate (second coordinate) of a point.Probability: It could represent the probability of the complement of a given event - particularly for the binomial distribution.
What does the curve of the standard normal distribution represent?
The curve of the standard normal distribution represents the probability distribution of a continuous random variable that is normally distributed with a mean of 0 and a standard deviation of 1. It is symmetric around the mean, illustrating that values closer to the mean are more likely to occur than those further away. The area under the curve equals 1, indicating that it encompasses all possible outcomes. This distribution is commonly used in statistics for standardization and hypothesis testing.
