diff --git a/03-Gaussians.ipynb b/03-Gaussians.ipynb index 47b761ae..1b6fc3a2 100644 --- a/03-Gaussians.ipynb +++ b/03-Gaussians.ipynb @@ -125,7 +125,7 @@ "\n", "Sample spaces are not unique. One sample space for a die is {1, 2, 3, 4, 5, 6}. Another valid sample space would be {even, odd}. Another might be {dots in all corners, not dots in all corners}. A sample space is valid so long as it covers all possibilities, and any single event is described by only one element. {even, 1, 3, 4, 5} is not a valid sample space for a die since a value of 4 is matched both by 'even' and '4'.\n", "\n", - "The probabilities for all values of a *discrete random value* is known as the *discrete probability distribution* and the probabilities for all values of a *continuous random value* is known as the *continuous probability distribution*.\n", + "The probabilities for all values of a *discrete random variable* is known as the *discrete probability distribution* and the probabilities for all values of a *continuous random value* is known as the *continuous probability distribution*.\n", "\n", "To be a probability distribution the probability of each value $x_i$ must be $x_i \\ge 0$, since no probability can be less than zero. Secondly, the sum of the probabilities for all values must equal one. This should be intuitively clear for a coin toss: if the odds of getting heads is 70%, then the odds of getting tails must be 30%. We formulize this requirement as\n", "\n", @@ -2149,7 +2149,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.7" + "version": "3.11.3" }, "widgets": { "application/vnd.jupyter.widget-state+json": {