Statistics Chapter 6: Probability distributions Flashcards

1
Q

random variable

A

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

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2
Q

probability distribution

A

possible values of a random variable and their probabilities

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3
Q

discrete random variable

A

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
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4
Q

continuous random variable

A

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
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5
Q

normal ditribution

A

symmetric, bell-shaped, and characterized by its mean mu and standard deviation sigma (1 sd: 68%, 2 sd: 95%, 3 sd: 99,7%)

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6
Q

z-score

A

number of standard deviations that x falls from the mean

z=x-mean/standard deviation (x=mean+z*standard deviation)

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7
Q

standard normal distribution

A

normal ditribution with mean 0 and standard deviation 1

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