COMM 215 Lecture Notes - Lecture 6: Slideshare, Random Variable, Probability Distribution

• School: Concordia University
• Department: Commerce
• Course: COMM 215
• Professor: wissamnawfal

Document Summary

Comm 215 - lecture 6 - intro to continuous probability distributions. Normal distribution is asymptotic to the x axis (normal approaches horizontal axis towards +- infinity) Amount of variation in random var. determines height & spread. Normal distrubutions vary based on the mean and std dev. A higher mean shifts distribution to the right, a higher std. dev increases the spread. This formula provides us with the relative likelihood that a value of the random variable would equal that sample, or that a random variable will fall within a particular range of values. The probability for the continuous random variable x to be within a range x1 to x2 is defined by the area under the curve beneath these values. Horizontal axis scaled in z values which measure how far a point is from the mean. Values above the mean have positive z-values, below the mean have negative z-values. Any specific x-value can be converted into a corresponding z value.