Statistics Chapter 6: Probability distributions Flashcards
random variable
numerical measurement of the outcome of a random phenomenon. Often, the randomness results from the use of a random sampling or a randomized experiment to gather data
probability distribution
possible values of a random variable and their probabilities
discrete random variable
probability distribution:
- for each x, the probability P(x) falls between 0 and 1
- sum of the probabilities for all the possible x values equals 1
continuous random variable
probability distribution:
- each interval has the probability between 0 and 1
- the interval containing all possible values ha probability equal to 1, so the total area under the curve equals 1
normal ditribution
symmetric, bell-shaped, and characterized by its mean mu and standard deviation sigma (1 sd: 68%, 2 sd: 95%, 3 sd: 99,7%)
z-score
number of standard deviations that x falls from the mean
z=x-mean/standard deviation (x=mean+z*standard deviation)
standard normal distribution
normal ditribution with mean 0 and standard deviation 1