STA220- Module 6 Discrete Random Variables

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Statistics

8 Terms

1

What is a random variable?

Variable whose value is a numerical outcome of a random phenomenon

  • outcome varies from observation. to observation according to random variable that can be summarized by probabilities

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2

What is a discrete random variable?

A random variable is discrete if the possible outcomes are a set of separate values

  • “the number of…” with possible values 0, 1, 2

  • ordinal scale of measurement: 1 = strongly disagree.. 3 = neutral… 5 = strongly agree

  • continuous if the possible outcomes are infinite continuum, such as all the real numbers between 0 and 1

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3

What is a probability distribution of a random variable?

A probability distribution lists the possible outcomes and their probabilities

  • has parameters describing the centre (ex: mean) and the variability (ex: standard deviation)

  • assigns a probability to each possible value of the variable (between 0 and 1)

<p>A probability distribution lists the possible outcomes and their probabilities</p><ul><li><p>has parameters describing the centre (ex: mean) and the variability (ex: standard deviation)</p></li><li><p>assigns a probability to each possible value of the variable (between 0 and 1)</p></li></ul>
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4

What are parameter values?

The values these measures would assume in the long run, if the randomized experiment of the random sample repeatedly took observations on variable y having the probability distribution

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5

What is the Bernoulli random variable?

Simple random variable with only two outcomes

  • success or failure, heads or tails

  • y = 1, y = 0

<p>Simple random variable with only two outcomes</p><ul><li><p>success or failure, heads or tails</p></li><li><p>y = 1, y = 0</p></li></ul>
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6

What is the binomial model?

Model that simply counts the number of successes in a series of n independent Bernoulli trials

  • makes it easy to find the mean and standar deviation of a Binomial random variable X

<p>Model that simply counts the number of successes in a series of n independent Bernoulli trials</p><ul><li><p>makes it easy to find the mean and standar deviation of a Binomial random variable X</p></li></ul>
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7

What are the properties of the Binomial model?

  1. There are a fixed number n observations

  2. The n observations are independent

  3. Each observation falls into one of just two categories (successes and failure)

  4. The probability of a success (call it p) is the same for each observation

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8

How does the shape of a binomial distribution depend on p?

When P < 0.5 = skewed right

P > 0.5 = skewed left

P = 0.5 = symmetric

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