Run GH Action to process learning outcomes

outputs_csv/LO_stats.csv

@@ -50,6 +50,7 @@ Numbered Topic,Topic,Subtopic,Subsubtopic,Learning Outcome,Code
 004.Distributions of random variables,Distributions of random variables,Topic Outcome,,Calculate probability of a given number of successes in a given number of trials using the binomial distribution $P(k = K) = \frac{n!}{k!~(n - k)!}~p^k~(1-p)^{(n - k)}$.,4.1.1.9
 004.Distributions of random variables,Distributions of random variables,Topic Outcome,,Calculate the expected number of successes in a given number of binomial trials $(\mu = np)$ and its standard deviation $(\sigma = \sqrt{np(1-p)})$.,4.1.1.10
 004.Distributions of random variables,Distributions of random variables,Topic Outcome,,"When number of trials is sufficiently large ($np \ge 10$ and $n(1-p) \ge 10$), use normal approximation to calculate binomial probabilities, and explain why this approach works.",4.1.1.11
+004.Distributions of random variables,Distributions of random variables,Topic Outcome,,Cumulative density function and probability mass functions.,4.1.1.12
 005.Foundations for inference,Foundations for inference,Topic Outcome,,"Define sample statistic as a point estimate for a population parameter, for example, the sample proportion is used to estimate the population proportion, and note that point estimate and sample statistic are synonymous.",5.1.1.0
 005.Foundations for inference,Foundations for inference,Topic Outcome,,"Recognize that point estimates (such as the sample proportion) will vary from one sample to another, and define this variability as sampling variation.",5.1.1.1
 005.Foundations for inference,Foundations for inference,Topic Outcome,,"Calculate the sampling variability of the proportion, the standard error, as $SE = \sqrt{\frac{p(1-p)}{n}}$, where $p$ is the population proportion.",5.1.1.2