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BESC STATS Post Test Chp 4 Questions and Answers | Latest Update | Graded A+ $9.72   Add to cart

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BESC STATS Post Test Chp 4 Questions and Answers | Latest Update | Graded A+

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BESC STATS Post Test Chp 4 Questions and Answers | Latest Update | Graded A+ What is the main purpose of probability in statistics? Probability helps us quantify the likelihood of different outcomes, which is essential for making predictions and understanding patterns in data. What is a...

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BESC STATS Post Test Chp 4 Questions
and Answers | Latest Update | Graded
A+
What is the main purpose of probability in statistics?


✔✔Probability helps us quantify the likelihood of different outcomes, which is essential for

making predictions and understanding patterns in data.




What is a probability distribution?


✔✔A probability distribution shows the possible values of a random variable and their

associated probabilities, describing how likely each outcome is.




How is a discrete probability distribution different from a continuous one?


✔✔A discrete probability distribution deals with outcomes that can be counted, like rolling a die,

while a continuous distribution involves outcomes in a range, like measuring height.




Explain the concept of expected value.


✔✔Expected value is the long-term average outcome of a random variable, calculated by

summing each possible outcome weighted by its probability.




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, What does it mean for events to be independent?


✔✔Independent events have no effect on each other's occurrence; knowing one event happened

does not change the probability of the other happening.




What is conditional probability?


✔✔Conditional probability is the probability of an event occurring given that another event has

already happened.




What is the difference between mutually exclusive and independent events?


✔✔Mutually exclusive events cannot happen at the same time, while independent events can

happen together but don’t influence each other.




What is the purpose of using a binomial distribution?


✔✔A binomial distribution models the probability of a specific number of successes in a fixed

number of independent trials, useful for yes/no outcomes like coin tosses.




What is a cumulative probability?


✔✔Cumulative probability is the probability that a random variable is less than or equal to a

certain value, summing up all probabilities up to that point.

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