Stat202:Test of Significance Concepts Crib Sheet - Revision history

Carver: /* One Sample Z-Test */

2017-05-19T20:40:17Z

‎One Sample Z-Test

Carver: /* One Sample Z-Test */

2017-04-13T18:13:22Z

‎One Sample Z-Test

Carver: /* One Sample Z-Test */

2017-04-13T18:12:58Z

‎One Sample Z-Test

Carver: /* One Sample Z-Test */

2017-04-13T18:12:19Z

‎One Sample Z-Test

Carver: /* One Sample Z-Test */

2017-04-13T18:12:01Z

‎One Sample Z-Test

Carver: /* One Sample Z-Test */

2017-04-13T18:10:26Z

‎One Sample Z-Test

Carver at 18:10, 13 April 2017

2017-04-13T18:10:01Z

Carver at 18:09, 13 April 2017

2017-04-13T18:09:43Z

Carver: Created page with "== One Sample Z-Test == Hypotheses: * About the population mean of a single quantitative variable. Null hypothesis: * Population mean has a specific value. Alternative h..."

2017-04-13T18:07:47Z

Created page with "== One Sample Z-Test == Hypotheses: * About the population mean of a single quantitative variable. Null hypothesis: * Population mean has a specific value. Alternative h..."

New page

== One Sample Z-Test ==

Hypotheses:

* About the population mean of a single quantitative variable.

Null hypothesis:

* Population mean has a specific value.

Alternative hypothesis:

* Pick one: the population mean is [(1) not equal to, (2) greater than, or (3) less than] the specific value.
Judgment from:

* A sample from the population.
* You can do the test if you only the sample mean and the sample size. But in all cases you need to assume you know the standard deviation of the population. The alternative to knowing the population standard deviation is to use the sample standard deviation, but that requires a different test.

← Older revision		Revision as of 20:40, 19 May 2017
Line 1:		Line 1:
−	~~== One Sample Z-Test ==~~

−	~~Hypotheses:~~
−
−	* About the population mean of a single quantitative variable.
−
−	~~Null hypothesis:~~
−
−	* Population mean has a specific value
−
−	~~<big> <math> Penalty(x,y,a,m) = Error(x,y,a,m)^2 </math> </big>~~
−
−	~~<math> 1+1 </math>~~
−
−	~~Alternative hypothesis:~~
−
−	* Pick one: the population mean is [(1) not equal to, (2) greater than, or (3) less than] the specific value.
−	~~Judgment from:~~
−
−	* A sample from the population.
−	* You can do the test if you only the sample mean and the sample size. But in all cases you need to assume you know the standard deviation of the population. The alternative to knowing the population standard deviation is to use the sample standard deviation, but that requires a different test.
−
−
−	~~<big> <math> Penalty(x,y,a,m,b) = Error(x,y,a,m,b)^2 </math> </big>~~

@@ Line 9: / Line 9: @@
 * Population mean has a specific value
-<big> <math> Penalty(x,y,a,m,b) = Error(x,y,a,m,b)^2 </math> </big>
+<big> <math> Penalty(x,y,a,m) = Error(x,y,a,m)^2 </math> </big>
 <math> 1+1 </math>

← Older revision		Revision as of 18:12, 13 April 2017
Line 8:		Line 8:

	* Population mean has a specific value		* Population mean has a specific value
		+
		+	<big> <math> Penalty(x,y,a,m,b) = Error(x,y,a,m,b)^2 </math> </big>

	<math> 1+1 </math>		<math> 1+1 </math>

← Older revision		Revision as of 18:12, 13 April 2017
Line 16:		Line 16:
	* A sample from the population.		* A sample from the population.
	* You can do the test if you only the sample mean and the sample size. But in all cases you need to assume you know the standard deviation of the population. The alternative to knowing the population standard deviation is to use the sample standard deviation, but that requires a different test.		* You can do the test if you only the sample mean and the sample size. But in all cases you need to assume you know the standard deviation of the population. The alternative to knowing the population standard deviation is to use the sample standard deviation, but that requires a different test.
		+
		+
		+	<big> <math> Penalty(x,y,a,m,b) = Error(x,y,a,m,b)^2 </math> </big>

@@ Line 7: / Line 7: @@
 Null hypothesis:
-* Population mean has a specific value <math> \mu_0 <\math>
+* Population mean has a specific value <math> 1+1 </math>
 Alternative hypothesis: