UB MGQ 301 - mgqhomework3 lecturenotes (5 pages)

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mgqhomework3 lecturenotes



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mgqhomework3 lecturenotes

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Pages:
5
School:
University at Buffalo, The State University of New York
Course:
Mgq 301 - Stat Decisions in Mgt
Stat Decisions in Mgt Documents

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first claim then collect data the null hypothesis always what we test and assume it s true gives us a value for parameter statement of equality miu 10 alpha increase boundary lines move toward the center three different natures of the test 1 two sided test assume change could have happened in either direction assume evidence fall away from the center of the distribution expected data value to fall 95 area greater than or less than current claimed value in the center of the distribution two rejection zones alpha risks determines boundary lines critical values alpha will be divided by two if we reject alternative hypothesis says evidence is not going to be within the region the null hypothesis says the value falls within the LOC somewhere if the evidence fall within we say do not reject null hypothesis keep null hypothesis is true alternative hypothesis evidence falls outside of the LOC either greater than or less than the hypothesis value there is enough evidence to support 2 one sided test right 3 left just a increase or decrease when we are interested in deviation in which side you first give a claim then you collect data test assume to be true within LOC the null hypothesis test is what we always test assumed to be true defendants in trail even if your claim is in alternative you always test null null hypothesis give value for parameter statement of equality equal to less than and equal to greater than and equal to the equal value will work everytime z xbar miu sigma sqrt n null hypothesis always assume to be true nature of the test one tail to two tail 3 a always be miu claim is always about parameter his claim is an alternative hypothesis Ha find evidence far enough to the left of 2 to be statistically significant null would be opposite from the claim test the null hypothesis assume the opposite is true assume null hypothesis is true given Ha miu 2 test Ho miu 2 we ll have a negative CV value alpha regoin determine boundary line show sample mean xbar definitely fall less than the critical value enough evidence show the average is significantly less than 2 reject null hypothesis if he find x bar inside loc within the margin of error do not reject the null hypo not enough evidence move beyond the boundary of the cv reduced one tail any affect two tails reduced less than nothing mentioned about one tail people can do two tail test two tail not equal to one tail stronger greater alternative or null critical value for two tail test boundary line based on alpha risk toward or away middle of the curve based on value of alpha alpha increase toward decrease away toward tail less area of the tail area of the tail alpha region evidence fall beyond the fences reject the null isn t enough evidence to say significant test statistic p value don t come



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