Template:Example: Normal General Example (RRX Plot) - Revision history

Kate Racaza: Redirected page to Normal Distribution Examples#Complete Data

2012-08-14T04:45:19Z

Redirected page to Normal Distribution Examples#Complete Data

← Older revision		Revision as of 04:45, 14 August 2012
Line 1:		Line 1:
	~~'''Normal General Example (RRX Plot)'''~~		#REDIRECT [[Normal Distribution Examples#Complete Data]]

	~~Six units are tested to failure with the following hours-to-failure data obtained: 12125, 11260, 12080, 12825, 13550 and 14670 hours. Assuming the data are normally distributed, do the following:~~

	~~1. Find the parameters for the data. (Use Rank Regression on X to duplicate the results shown in this example.)~~

	~~2. Obtain the probability plot for the data with 90%, two-sided Type 1 confidence bounds.~~

	~~3. Obtain the <math>pdf</math> plot for these data.~~

	~~'''Solution'''~~

	~~1. The next figure shows the data as entered in Weibull++, as well as the calculated parameters.~~

	[[~~Image:~~Normal Distribution ~~Example 8~~ Data~~.png\|center\|550px\| ]]~~

	2. Obtain the probability plot as before. To plot confidence bounds, from the Plot Options menu choose Confidence Bounds and then Show Confidence Bounds. On the Type and Settings page of the Confidence Bounds window, select Two Sided Bounds, make sure Type 1 is selected, and then enter 90 in the Confidence level, % box, and click OK, as shown next.

	~~[[Image:11260CBS.png\|center\|373px\| ]]~~

	~~The following plot should appear on your screen:~~

	~~[[Image:Normal Distribution Example 8 Probability Plot.png\|center\|500px\| ]]~~

	~~3. From the '''Plot Type''' menu choose Pdf Plot. The following plot should appear on your screen.~~

	~~[[Image:Normal Distribution Example 8 pdf Plot.png\|center\|500px\|~~ ]]

Richard House at 02:51, 8 August 2012

2012-08-08T02:51:18Z

← Older revision		Revision as of 02:51, 8 August 2012
Line 13:		Line 13:
	1. The next figure shows the data as entered in Weibull++, as well as the calculated parameters.		1. The next figure shows the data as entered in Weibull++, as well as the calculated parameters.

	~~<math></math>~~		[[Image:Normal Distribution Example 8 Data.png\|center\|550px\| ]]
	[[Image:Normal Distribution Example 8 Data.png~~\|thumb~~\|center\|~~500px~~\| ]]


	2. Obtain the probability plot as before. To plot confidence bounds, from the Plot Options menu choose Confidence Bounds and then Show Confidence Bounds. On the Type and Settings page of the Confidence Bounds window, select Two Sided Bounds, make sure Type 1 is selected, and then enter 90 in the Confidence level, % box, and click OK, as shown next.		2. Obtain the probability plot as before. To plot confidence bounds, from the Plot Options menu choose Confidence Bounds and then Show Confidence Bounds. On the Type and Settings page of the Confidence Bounds window, select Two Sided Bounds, make sure Type 1 is selected, and then enter 90 in the Confidence level, % box, and click OK, as shown next.

	~~<math></math>~~		[[Image:11260CBS.png\|center\|373px\| ]]
	[[Image:11260CBS.png~~\|thumb~~\|center\|373px\| ]]


	The following plot should appear on your screen:		The following plot should appear on your screen:

	~~<math></math>~~		[[Image:Normal Distribution Example 8 Probability Plot.png\|center\|500px\| ]]
	[[Image:Normal Distribution Example 8 Probability Plot.png~~\|thumb~~\|center\|500px\| ]]


	3. From the '''Plot Type''' menu choose Pdf Plot. The following plot should appear on your screen.		3. From the '''Plot Type''' menu choose Pdf Plot. The following plot should appear on your screen.

	[[Image:Normal Distribution Example 8 pdf Plot.png~~\|thumb~~\|center\|500px\| ]]		[[Image:Normal Distribution Example 8 pdf Plot.png\|center\|500px\| ]]
	~~<math></math>~~

Chris Kahn at 18:49, 21 May 2012

2012-05-21T18:49:11Z

← Older revision		Revision as of 18:49, 21 May 2012
Line 14:		Line 14:

	<math></math>		<math></math>
	[[Image:Normal Distribution Example 8 Data.png\|thumb\|center\|~~250px~~\| ]]		[[Image:Normal Distribution Example 8 Data.png\|thumb\|center\|500px\| ]]


Line 20:		Line 20:

	<math></math>		<math></math>
	[[Image:11260CBS.png\|thumb\|center\|~~250px~~\| ]]		[[Image:11260CBS.png\|thumb\|center\|373px\| ]]


Line 26:		Line 26:

	<math></math>		<math></math>
	[[Image:Normal Distribution Example 8 Probability Plot.png\|thumb\|center\|~~250px~~\| ]]		[[Image:Normal Distribution Example 8 Probability Plot.png\|thumb\|center\|500px\| ]]


	3. From the '''Plot Type''' menu choose Pdf Plot. The following plot should appear on your screen.		3. From the '''Plot Type''' menu choose Pdf Plot. The following plot should appear on your screen.

	[[Image:Normal Distribution Example 8 pdf Plot.png\|thumb\|center\|~~250px~~\| ]]		[[Image:Normal Distribution Example 8 pdf Plot.png\|thumb\|center\|500px\| ]]
	<math></math>		<math></math>

Athanasios Gerokostopoulos at 18:53, 9 May 2012

2012-05-09T18:53:14Z

← Older revision		Revision as of 18:53, 9 May 2012
Line 9:		Line 9:
	3. Obtain the <math>pdf</math> plot for these data.		3. Obtain the <math>pdf</math> plot for these data.

	'''~~Solutions~~'''		'''Solution'''

	1. The next figure shows the data as entered in Weibull++, as well as the calculated parameters.		1. The next figure shows the data as entered in Weibull++, as well as the calculated parameters.

Nicolette Young at 19:14, 25 April 2012

2012-04-25T19:14:04Z

← Older revision		Revision as of 19:14, 25 April 2012
Line 26:		Line 26:

	<math></math>		<math></math>
	[[Image:Normal Distribution Example 8 Probability Plot.png\|thumb\|center\|~~400px~~\| ]]		[[Image:Normal Distribution Example 8 Probability Plot.png\|thumb\|center\|250px\| ]]


	3. From the '''Plot Type''' menu choose Pdf Plot. The following plot should appear on your screen.		3. From the '''Plot Type''' menu choose Pdf Plot. The following plot should appear on your screen.

	[[Image:Normal Distribution Example 8 pdf Plot.png\|thumb\|center\|~~400px~~\| ]]		[[Image:Normal Distribution Example 8 pdf Plot.png\|thumb\|center\|250px\| ]]
	<math></math>		<math></math>

Nicolette Young at 19:13, 25 April 2012

2012-04-25T19:13:12Z

← Older revision		Revision as of 19:13, 25 April 2012
Line 14:		Line 14:

	<math></math>		<math></math>
	[[Image:Normal Distribution Example 8 Data.png\|thumb\|center\|~~400px~~\| ]]		[[Image:Normal Distribution Example 8 Data.png\|thumb\|center\|250px\| ]]


Line 20:		Line 20:

	<math></math>		<math></math>
	[[Image:11260CBS.png\|thumb\|center\|~~400px~~\| ]]		[[Image:11260CBS.png\|thumb\|center\|250px\| ]]

Harry Guo at 00:03, 2 March 2012

2012-03-02T00:03:20Z

← Older revision		Revision as of 00:03, 2 March 2012
Line 14:		Line 14:

	<math></math>		<math></math>
	[[Image:~~11260folio~~.png\|thumb\|center\|400px\| ]]		[[Image:Normal Distribution Example 8 Data.png\|thumb\|center\|400px\| ]]


Line 26:		Line 26:

	<math></math>		<math></math>
	[[Image:~~11260plot~~.png\|thumb\|center\|400px\| ]]		[[Image:Normal Distribution Example 8 Probability Plot.png\|thumb\|center\|400px\| ]]


	3. From the ~~Special~~ Plot Type menu choose Pdf Plot. The following plot should appear on your screen.		3. From the '''Plot Type''' menu choose Pdf Plot. The following plot should appear on your screen.

	[[Image:~~11260pdfplot~~.png\|thumb\|center\|400px\| ]]		[[Image:Normal Distribution Example 8 pdf Plot.png\|thumb\|center\|400px\| ]]
	<math></math>		<math></math>

Harry Guo at 17:13, 10 February 2012

2012-02-10T17:13:30Z

← Older revision		Revision as of 17:13, 10 February 2012
Line 29:		Line 29:


	8-3. From the Special Plot Type menu choose Pdf Plot. The following plot should appear on your screen.		3. From the Special Plot Type menu choose Pdf Plot. The following plot should appear on your screen.

	[[Image:11260pdfplot.png\|thumb\|center\|400px\| ]]		[[Image:11260pdfplot.png\|thumb\|center\|400px\| ]]
	<math></math>		<math></math>

Harry Guo at 17:13, 10 February 2012

2012-02-10T17:13:12Z

← Older revision		Revision as of 17:13, 10 February 2012
Line 2:		Line 2:

	Six units are tested to failure with the following hours-to-failure data obtained: 12125, 11260, 12080, 12825, 13550 and 14670 hours. Assuming the data are normally distributed, do the following:		Six units are tested to failure with the following hours-to-failure data obtained: 12125, 11260, 12080, 12825, 13550 and 14670 hours. Assuming the data are normally distributed, do the following:

	1. Find the parameters for the data. (Use Rank Regression on X to duplicate the results shown in this example.)		1. Find the parameters for the data. (Use Rank Regression on X to duplicate the results shown in this example.)

	2. Obtain the probability plot for the data with 90%, two-sided Type 1 confidence bounds.		2. Obtain the probability plot for the data with 90%, two-sided Type 1 confidence bounds.

	3. Obtain the <math>pdf</math> plot for these data.		3. Obtain the <math>pdf</math> plot for these data.

Harry Guo at 17:12, 10 February 2012

2012-02-10T17:12:47Z

← Older revision		Revision as of 17:12, 10 February 2012
Line 1:		Line 1:
	'''~~Example:~~ Normal General Example (RRX Plot)'''		'''Normal General Example (RRX Plot)'''

	Six units are tested to failure with the following hours-to-failure data obtained: 12125, 11260, 12080, 12825, 13550 and 14670 hours. Assuming the data are normally distributed, do the following:		Six units are tested to failure with the following hours-to-failure data obtained: 12125, 11260, 12080, 12825, 13550 and 14670 hours. Assuming the data are normally distributed, do the following: