(1) The probability distribution for a discrete random variable X can be represented by a formula, a table, or a graph, which provides p(x) = P(X=x) for all x.
Creating the x values (horizontal axis)
- Choose Calc / Make Patterned Data / Simple Set of Numbers
- Store the patterned data in x
- Enter the left hand value of the graph for the first value
- Enter the right hand value of the graph for the last value
- The step size depends on the type of distribution.
- For a discrete distribution like the binomial that only has integer values, use 1.
- For a continuous distribution like the normal, t, chi-square, or F, use a small value like 0.05 or 0.02. The smaller the value, the smoother the curve will be.
- Click OK
Creating the y values (vertical axis)
- Choose Calc / Probability Distributions and then select the name of the distribution you're wanting to graph. This can be normal, t, chi-square, or F.
- Check the box for probabilty density. This is the height (y-value) of the curve. The cumulative probability tells you the area to the left of the x value and the inverse cumulative probability tells you the x-value when you know the area to the left of the value.
- Enter any required parameters
- Binomial: Enter the number of trials and probability of success on each trial (called event probability)
- Normal: There are no required parameters that need changing. Leave the mean at 0 and standard deviation at 1.
- T: Enter the degrees of freedom. Leave the non-centrality parameter at 0.
- Chi-square: Enter the degrees of freedom. Leave the non-centrality parameter at 0.
- F: Enter the numerator degrees of freedom and the denominator degrees of freedom. Leave the non-centrality parameter at 0.
- The input column is x
- The optional storage is p (for probability, although you could call it y if you like)
- Click OK
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