Template:Complete Data - Revision history

Kate Racaza: Redirected page to Types of Life Data

2012-08-14T07:02:04Z

← Older revision		Revision as of 07:02, 14 August 2012
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	~~====Complete Data====~~		#REDIRECT[[Types_of_Life_Data]]

	Complete data means that the value of each sample unit is observed or known. For example, if we had to compute the average test score for a sample of ten students, complete data would consist of the known score for each student. Likewise in the case of life data analysis, our data set (if complete) would be composed of the times-to-failure of all units in our sample. For example, if we tested five units and they all failed (and their times-to-failure were recorded), we would then have complete information as to the time of each failure in the sample.
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	[[~~Image:complete data.png\|center\|400px\|~~]]
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Kate Racaza at 10:37, 2 July 2012

2012-07-02T10:37:16Z

← Older revision		Revision as of 10:37, 2 July 2012
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	Complete data means that the value of each sample unit is observed or known. For example, if we had to compute the average test score for a sample of ten students, complete data would consist of the known score for each student. Likewise in the case of life data analysis, our data set (if complete) would be composed of the times-to-failure of all units in our sample. For example, if we tested five units and they all failed (and their times-to-failure were recorded), we would then have complete information as to the time of each failure in the sample.		Complete data means that the value of each sample unit is observed or known. For example, if we had to compute the average test score for a sample of ten students, complete data would consist of the known score for each student. Likewise in the case of life data analysis, our data set (if complete) would be composed of the times-to-failure of all units in our sample. For example, if we tested five units and they all failed (and their times-to-failure were recorded), we would then have complete information as to the time of each failure in the sample.
	<br>		<br>
	[[Image:complete data.png\|center\|~~250px~~\|]]		[[Image:complete data.png\|center\|400px\|]]
	<br>		<br>

Kate Racaza at 10:35, 2 July 2012

2012-07-02T10:35:22Z

← Older revision		Revision as of 10:35, 2 July 2012
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	Complete data means that the value of each sample unit is observed or known. For example, if we had to compute the average test score for a sample of ten students, complete data would consist of the known score for each student. Likewise in the case of life data analysis, our data set (if complete) would be composed of the times-to-failure of all units in our sample. For example, if we tested five units and they all failed (and their times-to-failure were recorded), we would then have complete information as to the time of each failure in the sample.		Complete data means that the value of each sample unit is observed or known. For example, if we had to compute the average test score for a sample of ten students, complete data would consist of the known score for each student. Likewise in the case of life data analysis, our data set (if complete) would be composed of the times-to-failure of all units in our sample. For example, if we tested five units and they all failed (and their times-to-failure were recorded), we would then have complete information as to the time of each failure in the sample.
			<br>
	~~Complete data is much easier to work with than censored~~ data. For example, it would be much harder to compute the average test score of the students if our data set were not complete, i.e.the average test score given scores of 30, 80, 60, 90, 95, three scores greater than 50, a score that is less than 70 and a score that is between 60 and 80.		[[Image:complete data.png\|center\|250px\|]]
			<br>

Pantelis: Created page with '====Complete Data==== Complete data means that the value of each sample unit is observed or known. For example, if we had to compute the average test score for a sample of ten s…'

2011-10-29T14:18:02Z

Created page with '====Complete Data==== Complete data means that the value of each sample unit is observed or known. For example, if we had to compute the average test score for a sample of ten s…'

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====Complete Data====

Complete data means that the value of each sample unit is observed or known. For example, if we had to compute the average test score for a sample of ten students, complete data would consist of the known score for each student. Likewise in the case of life data analysis, our data set (if complete) would be composed of the times-to-failure of all units in our sample. For example, if we tested five units and they all failed (and their times-to-failure were recorded), we would then have complete information as to the time of each failure in the sample.

Complete data is much easier to work with than censored data. For example, it would be much harder to compute the average test score of the students if our data set were not complete, i.e.the average test score given scores of 30, 80, 60, 90, 95, three scores greater than 50, a score that is less than 70 and a score that is between 60 and 80.