Links: Stat 202 Summer 2016 - Revision history

Carver: /* 2016F Study Instructions */

2017-08-07T00:50:28Z

‎2016F Study Instructions

2016-12-07T02:18:40Z

‎2016F Study Instructions

2016-12-07T02:11:46Z

‎2016F Study Instructions

2016-12-07T02:06:42Z

‎2016F Study Instructions

2016-12-07T01:50:01Z

‎Some Other Things to Review for Summer 2016 Final

2016-10-08T14:19:51Z

2016-08-02T13:29:03Z

‎Some Other Things to Review for Final

2016-08-02T13:28:39Z

‎StatCrunch Skills We Covered, Summer 2016 (copied from Summer 2015, but still relevant)

2016-08-02T13:28:15Z

‎StatCrunch Skills We Covered (copied from Summer 2015, but still relevant)

2016-08-02T04:27:45Z

‎Some Other Things to Review for Final

← Older revision		Revision as of 00:50, 7 August 2017
Line 141:		Line 141:
	* Make sure you can do simulation with StatCrunch and use a fixed seed.		* Make sure you can do simulation with StatCrunch and use a fixed seed.
	* STAT 203 -- Basic Stats with Calculus: There will be a calculus problem on the exam similar to one of the ones on the midterms.		* STAT 203 -- Basic Stats with Calculus: There will be a calculus problem on the exam similar to one of the ones on the midterms.
		+
		+	== 2017XD Problems for Final ==
		+
		+	* Binomial Problem
		+	* Concepts of Tests of Significance Problem
		+	* Sampling Distribution Problem
		+	* Probability Problem
		+	* Correlation and Regression Problem
		+	* Random Variable Problem
		+	* Power/Difference/Sample Size Problem
		+	* Identify Which Significance Test To Use Problem
		+	* Confidence Interval and Interpretation Problem
		+	* Normal Calculator/Z-Score Problem
		+	* Possible Surprise Problem

← Older revision		Revision as of 02:18, 7 December 2016
Line 138:		Line 138:
	* Make sure you know how to compute and report a confidence interval and interpret values inside and outside the interval.		* Make sure you know how to compute and report a confidence interval and interpret values inside and outside the interval.
	* Make sure you know what a random variable is and how to create examples of a random variable.		* Make sure you know what a random variable is and how to create examples of a random variable.
		+	* Make sure you can do sampling with StatCrunch and use a fixed seed.
		+	* Make sure you can do simulation with StatCrunch and use a fixed seed.
		+	* STAT 203 -- Basic Stats with Calculus: There will be a calculus problem on the exam similar to one of the ones on the midterms.

@@ Line 134: / Line 134: @@
 * Make sure you know how to interpret a p-value as significant or insignificant based on the level of significance of the test.
 * Make sure you know the relationships between type I and type II errors and power and level of significance of tests.
-* Make sure you know the definitions of specificity and sensitivity and their relationships between type I and type II errors
+* Make sure you know the definitions of specificity and sensitivity and their relationships between type I and type II errors.
 * Make sure you know what a random variable is and how to create examples of a random variable.

← Older revision		Revision as of 02:06, 7 December 2016
Line 126:		Line 126:

	== 2016F Study Instructions ==		== 2016F Study Instructions ==
		+
		+	* Make sure you know the difference between a t-test and a proportions test, and when you use each kind.
		+	* Make sure you know the difference between a 1-sample, a 2-sample and a paired test.
		+	* Make sure you know to use a one sample test when you are comparing distributions, and you have one sample, but you know the parameters of the other distribution.
		+	* Make sure you know how to specify your hypotheses.
		+	* Make sure you know what a p-value is and what it is used for.
		+	* Make sure you know how to interpret a p-value as significant or insignificant based on the level of significance of the test.
		+	* Make sure you know the relationships between type I and type II errors and power and level of significance of tests.
		+	* Make sure you know the definitions of specificity and sensitivity and their relationships between type I and type II errors
		+	* Make sure you know what a random variable is and how to create examples of a random variable.

← Older revision		Revision as of 01:50, 7 December 2016
Line 124:		Line 124:
	* Know what a random variable is.		* Know what a random variable is.
	* Calculate the mean of a random variable, and know how this mean differs from a sample mean.		* Calculate the mean of a random variable, and know how this mean differs from a sample mean.
		+
		+	== 2016F Study Instructions ==

@@ Line 4: / Line 4: @@
 * Kahn Academy videos on why you divide by (n-1) instead of (n) when you compute the sample standard deviation or sample variance.  Video 1:  https://www.khanacademy.org/math/probability/descriptive-statistics/variance_std_deviation/v/review-and-intuition-why-we-divide-by-n-1-for-the-unbiased-sample-variance Video 2:  https://www.khanacademy.org/math/probability/descriptive-statistics/variance_std_deviation/v/simulation-showing-bias-in-sample-variance
 * How to interpret a Normal Quantile Plot (QQ-Plot):  http://stats.stackexchange.com/questions/101274/how-to-interpret-a-qq-plot
-* [[Media:NormalVerusT.pdf|Comparison of Normal and T Distributions]]
+* Spurious Correlations: http://tylervigen.com/spurious-correlations
 == Practice Exams And Exams ==

@@ Line 105: / Line 105: @@
 * Two Sample
-== Some Other Things to Review for Final ==
+== Some Other Things to Review for Summer 2016 Final ==
 * Know how to use the 68-95-99.7 Rule.

@@ Line 26: / Line 26: @@
 * [[Media:Stat202_2015S_Final2014F.pdf|Exam 3 Practice 2]] ([[Media:Stat202_2015S_Final2014F_Solutions.pdf|solutions]])
-== StatCrunch Skills We Covered, Summer 2016 (copied from Summer 2015, but still relevant) ==
+== StatCrunch Skills We Covered, Summer 2016 (mostly copied from Summer 2015, but still relevant) ==
 === StatCrunch Plots ===

@@ Line 116: / Line 116: @@
 * Know the difference between a one-sided alternative hypothesis and a two-sided alternative hypothesis.  Know that unless you are sure that you should use a one-sided hypothesis, that you should always use a two sided hypothesis.  Know that two-sided hypotheses is more conservative--significant results with a two sided hypothesis are significant with a one-sided hypothesis in the appropriate direction.
 * Don't make the following mistake, WRONG: "a p-value greater than alpha means the result is significant:" THIS IS WRONG!  In the past, students with this confusion made the same mistake on several problems and lost a lot of points on each, a costly mistake, but it reveals that you don't really understand tests of significance, which justifies a low grade.  BE WARNED AND BE CAREFUL!  You won't make this mistake if you know what a p-value is and why it needs to be small to reject the null hypothesis and find an effect.  Make a habit of checking your understanding with your conclusion, each time you draw a conclusion.
 * Know how to use the Binomial calculator, when to use it, and how to recognize when a problem requires it.
 * Know how to use the Normal calculator, when to use it, and how to recognize when a problem requires it.