lec3_3143 - Experimental Design and Analysis 1. 2. 3. 4. 5....

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BIOL 3143 - Experimental Design and Analysis 1 Experimental Design and Analysis 1. You come up with your hypothesis (for example - college students sleep less than other  folks). 2. You generate a sample (pick a set of college students). 3. You calculate your summary statistics (for example, the mean and standard deviation of  number of hours that college students sleep per night). 4. You determine the statistical test that will compare your summary statistic against the  value determined by your null hypothesis. - (You would use the single sample t-test for  college students’ sleep.) 5. You calculate the test statistic using your summary statistics. The formula for the test  statistics is different for each type of test but the basic concept is the same. You calculate  how far your sample is from the null hypothesis taking into account that sample values of  a statistic vary by chance when smaller samples are taken from a larger population. The  standard error tells us how much they vary. 6. You derive the appropriate sampling distribution - or refer to one already listed in the  tables in your statistics book. Your computer program can also give you this information. 7. You choose the cut-off value on your sampling distribution that tells you that your sample  statistic is very far from the null hypothesis and thus not likely. We call this cutoff value  our alpha level or significance level. 8. You decide whether to reject the null hypothesis or fail to reject the null. You do this by  comparing your test statistic to the cutoff value. 9.
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This note was uploaded on 02/08/2010 for the course BIOL 3143 taught by Professor Daveshutler during the Winter '10 term at Acadia.

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lec3_3143 - Experimental Design and Analysis 1. 2. 3. 4. 5....

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