BUEC 232 Lecture Notes - Lecture 9: Data Dredging, Data Cleansing, Standard Deviation

• School: Simon Fraser University
• Department: Business Economics
• Course: BUEC 232
• Professor: all

Document Summary

Sample tests lecture 9 fundamentals of hypothesis testing: one- A hypothesis is a claim (assertion) about a population parameter. Example: the mean monthly cell phone bill of this city is = . Example: the proportion of adults in this city with cell phones is = 0. 78. What is hypothesis testing: hypothesis testing is a procedure to evaluate a hypothesis about the population with actual results obtained from a sample of data. The purpose of hypothesis testing is to choose between two conflicting alternatives about the possible value of a population parameter. The two competing hypotheses are called null hypothesis (h0 pronounced h-naught ) and alternative hypothesis (h1 h-one , or h-a ). Is the opposite of the null hypothesis: e. g. : the average number of tv sets in canadian homes is less than 3 ( h1: < 3 : challenges the current belief, never contains the = , or sign, may or may not be accepted.