Update 04-04-Probability.ipynb

stanasiukcom · web-flow · commit b4678fc1766d · 2019-01-02T20:21:03.000+01:00
Line #735 wrongly mentioning pbinom instead of dbinom from the script
diff --git a/Module04/04-04-Probability.ipynb b/Module04/04-04-Probability.ipynb
@@ -732,7 +732,7 @@
     "\n",
     "This is known as the *General Binomial Probability Formula*, and we use it to calculate the *probability mass function* (or *PMF*) for a binomial variable. In other words, the we can use it to calculate the probability for each possible value for the variable and use that information to determine the relative frequency of the variable values as a distribution.\n",
     "\n",
-    "You can use the R **pbinom** function to calculate the probability of a random variable having a specific value (***k***) for a given number of experiments (***n***) where the event being tested has a given probability (***p***), as demonstrated in the following code:"
+    "You can use the R **dbinom** function to calculate the probability of a random variable having a specific value (***k***) for a given number of experiments (***n***) where the event being tested has a given probability (***p***), as demonstrated in the following code:"
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -732,7 +732,7 @@`
`732`	`732`	`"\n",`
`733`	`733`	`"This is known as the General Binomial Probability Formula, and we use it to calculate the probability mass function (or PMF) for a binomial variable. In other words, the we can use it to calculate the probability for each possible value for the variable and use that information to determine the relative frequency of the variable values as a distribution.\n",`
`734`	`734`	`"\n",`
`735`		`- "You can use the R pbinom function to calculate the probability of a random variable having a specific value (*k) for a given number of experiments (n) where the event being tested has a given probability (p*), as demonstrated in the following code:"`
	`735`	`+ "You can use the R dbinom function to calculate the probability of a random variable having a specific value (*k) for a given number of experiments (n) where the event being tested has a given probability (p*), as demonstrated in the following code:"`
`736`	`736`	`]`
`737`	`737`	`},`
`738`	`738`	`{`