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Stat Unit 3 IP Lorraine Huff - significant difference in...

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1 RUNNING HEAD: UNIT 3 INDIVIDUAL PROJECT Unit 3 Individual Project Lorraine Huff American InterContinental University QMB350-1001B-10: Statistical Analysis February 28, 2010
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2 The null statement is: Ho: the extrinsic mean value is equal to the intrinsic mean value. The alternate statement is: Ha: the extrinsic mean value is not equal to the intrinsic mean value. Variable 1 Variab le 2 Mean 5.116 4.736 Variance 1.06806 7 1.1224 Observations 25 25 Pearson Correlation -0.27569 Hypothesized Mean Difference 0 Df 24 t Stat 1.136652 P(T<=t) one-tail 0.133453 t Critical one-tail 1.710882 P(T<=t) two-tail 0.266906 t Critical two-tail 2.063899 When using a .05 significance level, since the P(t<=t) two tail equals 0.266906, we would reject the Ho. The t-test and the z-test are both tests that compare between two means to suggest whether both samples come from the same population. People usually use the z-test when the variable is more than 30 and t-tests are used when the variable is less than 30. If there is not a
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Unformatted text preview: significant difference in the data, the hypothesis must be rejected. Researchers use samples instead of populations because a sample is a small group of member of a population that has been selected to represent the population. The samples must be random in order to learn things about the population because it allows each member of the population an equal chance to be selected. 3 References Bluman, A. G. (2010). Elementary Statistics A Brief Version, 5th Edition. New York, NY: McGraw-Hill. Gaten, T. (2000, May). Z-tests and t tests . Retrieved February 28, 2010, from University of Leicester: http://www.le.ac.uk/bl/gat/virtualfc/Stats/ttest.html Thirtle, M. (2010, February 22). Week 3 Chat. AIU Live Chat . Hoffman Estates, IL, USA: American InterContinental University....
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