Links: Stat 202 Fall 2015 - Revision history

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2015-09-10T00:28:16Z

‎Links

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Carver: Created page with "== Links == * How to interpret a Normal Quantile Plot (QQ-Plot): http://stats.stackexchange.com/questions/101274/how-to-interpret-a-qq-plot * Media:NormalVerusT.pdf|Compar..."

2015-08-31T01:38:22Z

Created page with "== Links == * How to interpret a Normal Quantile Plot (QQ-Plot): http://stats.stackexchange.com/questions/101274/how-to-interpret-a-qq-plot * Media:NormalVerusT.pdf|Compar..."

New page

== Links ==

* 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]]

== Practice Exams And Exams ==

* [[Media:Stat202Exam1Practice1.pdf|Exam 1 Practice 1]] ([[Media:Stat202Exam1Practice1Solutions.pdf|solutions]]).

* [[Media:Stat202Exam1Practice2.pdf|Exam 1 Practice 2]] ([[Media:Stat202Exam1Practice2Solutions.pdf|solutions]]).

* [[Media:Stat202Exam1Practice3.pdf|Exam 1 Practice 3]] ([[Media:Stat202Exam1Practice3Solutions.pdf|solutions]]).

* [[Media:Stat202Exam2Practice1.pdf|Exam 2 Practice 1]] ([[Media:Stat202Exam2Practice1Solutions.pdf|solutions]]).

* [[Media:Stat202Exam2Practice2.pdf|Exam 2 Practice 2]] ([[Media:Stat202Exam2Practice2Solutions.pdf|solutions]]).

* [[Media:Stat202Exam2Practice3.pdf|Exam 2 Practice 3]] ([[Media:Stat202_2015S_Exam2Key.pdf|solutions]]).

* [[Media:Stat202Midterm2015XD.pdf|Midterm Exam]] ([[Media:Stat202Midterm2015XDExamKey.pdf|solutions]])

* [[Media:Stat202_2015S_PracticeExam.pdf|Exam 3 Practice 1]] ([[Media:Stat202_2015S_PracticeExamSolutions.pdf|solutions]])

* [[Media:Stat202_2015S_Final2014F.pdf|Exam 3 Practice 2]] ([[Media:Stat202_2015S_Final2014F_Solutions.pdf|solutions]])

== StatCrunch Skills We Have Learned Before Summer 2015 Midterm ==

=== StatCrunch Plots We Have Learned Before Summer 2015 Midterm ===

* Bar Graph
* Pie Chart
* Stemplot
* Histogram
* QQ-Plot (Normal Quantile Plot)
* Scatter Plot
* Scatter Plot with Regression Line overlaid
* Residual Plot
* Boxplot

=== StatCrunch Calculators We Have Learned Before Summer 2015 Midterm ===

* Normal Calculator
* Binomial Calculator

=== StatCrunch Statistics We Have Learned Before Summer 2015 Midterm ===

* Summary Stats (Columns)
* Summary Stats (Correlation)
* Regression (Simple Linear)

=== Other Skills We Have Learned Before Summer 2015 Midterm ===

* Load Data
* Delete and Insert Rows And Columns
* Rename Columns
* Simulate Data From A Specified Distribution
* Use Fixed and Dynamic Seeds
* Apply Transformations to Data

== StatCrunch Skills We Have Learned ''After'' the Summer 2015 Midterm ==

=== Sampling ===

* Conduct a random sample of data
* Sample if there is more than one column and you want sampled columns to correspond.
* Use fixed seeds for sampling
* Generate a sequence of numbers to use for sampling.

=== Hypothesis Testing ===

* Z-Test
* T-Test
* Proportion Test
* One Sample
* Two Sample
* Paired
* With Data
* With Summary

=== Confidence Intervals ===

* Z-Stats
* T-Stats
* Proportion Stats
* One Sample
* Two Sample
* Paired
* With Data
* With Summary

=== Power/Sample Size ===

* Z-Stats
* T-Stats
* Proportion Stats
* One Sample
* Two Sample

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 == Links ==
-* Kahn Academy videos on why you divide by (n-1) instead of (n) when you compute the sample standard deviation or 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
+* 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]]