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Key concepts in probability and random variables, which are fundamental topics in the field of statistics. It provides definitions and explanations for important terms such as probability, probability functions, probability density functions, and z-scores. The document also discusses the relationship between probability and normal distribution, highlighting the use of normal tables to extract probabilities for standard normal random variables. This information is crucial for understanding statistical analysis and modeling, and would be valuable for students studying statistics at the university level. The document could be used as study notes, lecture notes, or a summary to prepare for exams, assignments, or university essays related to probability and random variables in statistics.
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____________ is a measure of likeliness of an event occuring - correct answer probability The probability of all events together must be _ - correct answer 1 The probability of an event = 1- the probability the event will ___ happen - correct answer not The probability that at least ___ event will occur = 1- the probability that no event will occur - correct answer one The probability of at least one of the two events occuring = the probability of one event + the probability of the other event - the probability that _____ events will occur - correct answer both
_ = X- mean/ standard deviation - correct answer Z _-scores measure the number of standard deviations between the mean and some particular data value