STATS 10 Lecture Notes - Lecture 12: Normal Distribution, Random Variable
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5-7: probability rules (5, probability distributions (today, sampling distributions. Statistical inference: merge of midterm 1 and 2, making conclusions on a sample of data, confidence test, hypothesis test. Final exam: loosely cumulative: mostly ch. A distribution that describes the probability of a random variable: a random variable = outcome of a random trial, the outcome is numeric or recorded as a number. The shape of the probability distribution tells us which outcomes are more likely and which are less likely. Random variable: pick a student from our class at random: random trial. Questio(cid:374): we ask what the stude(cid:374)t"s s(cid:272)ore o(cid:374) (cid:373)idter(cid:373) (cid:1005) is: outcome = numeric. Left skewed, because most people get around 80-90. At a bus stop, the bus comes every 25 minutes. X = the wait time for the next bus (between 1 second and 25 min: every one of these outcomes are equally likely, you wo(cid:374)"t wait (cid:373)ore tha(cid:374) (cid:1006)5 (cid:373)i(cid:374), therefore, the probability distribution is flat.
